Senior Manager, Applied Science, Reading Experience Are you interested in improving the Digital Reading Experience? We are from the Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to the next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the reading experience for Kindle customers. This role is specifically for a Senior Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision, and bringing state-of-the-art innovations for improving the reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation, and ML Operations influencing all the key spaces aiding in Science deliverables. Key job responsibilities You independently manage Science & Engineering teams. You are able to hire, develop, and promote scientists, engineers, and other data-intensive job families (Data Engineers, Business Intelligence Engineers, Business Analysts). You define the strategic vision, a long-term roadmap, establish the right scientific team structure, and lead your team(s) as they deliver high-quality, maintainable analysis, research, and potentially production-level models that execute on that vision. Your team is structured to successfully and sustainably meet scientific, business, and technology needs. You leverage talent as needed and make the appropriate people trade-offs to meet incoming demands. Your strategic plans include how your teams will scale or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. You work effectively with technical and business leaders. You are able to influence other team roadmaps, reach consensus on approach/prioritization, and deliver scientific artifacts and/or products successfully. You serve as the organization's voice on all matters of data analytics and scientific modeling. You identify large risks, endemic problems, areas of opportunity/customer value and when needed, are able to influence other teams to collaborate with your team to build solutions. You champion scientific, engineering, and operational excellence best practices within your team and influence other teams in your organization. You bring in an innovation culture within your team and encourage them for next experiments and innovations. A day in the life You will be responsible for working with product teams to bring in the long-term vision for this charter. You define the project plans & deliverables and unblock the team to consistently deliver. You work with multiple disciplines for effective delivery. You look at options for collaboration and work with other leaders both from Domain expertise and from Science expertise. About the team The vision for the Reading Experience Science & Algorithms team is to enable delightful reading experiences; scale to applicable content and thereby making Kindle the best place to read with the assistance of Science and AI capabilities. BASIC QUALIFICATIONS MS/PhD degree in Computer Vision, Machine Learning, or related areas. Proven track record of shipping AI products. 10+ years of working experience in related AI areas. 5+ years of managing experience of scientists. Excellent business writing, verbal communication, and cross-discipline collaboration skills. PREFERRED QUALIFICATIONS Experience managing software development engineers/ML engineers. Worked with product teams for building vision/strategy for a space. 2+ years of hands-on experience as a Senior Scientist. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 15, 2025
Full time
Senior Manager, Applied Science, Reading Experience Are you interested in improving the Digital Reading Experience? We are from the Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to the next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the reading experience for Kindle customers. This role is specifically for a Senior Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision, and bringing state-of-the-art innovations for improving the reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation, and ML Operations influencing all the key spaces aiding in Science deliverables. Key job responsibilities You independently manage Science & Engineering teams. You are able to hire, develop, and promote scientists, engineers, and other data-intensive job families (Data Engineers, Business Intelligence Engineers, Business Analysts). You define the strategic vision, a long-term roadmap, establish the right scientific team structure, and lead your team(s) as they deliver high-quality, maintainable analysis, research, and potentially production-level models that execute on that vision. Your team is structured to successfully and sustainably meet scientific, business, and technology needs. You leverage talent as needed and make the appropriate people trade-offs to meet incoming demands. Your strategic plans include how your teams will scale or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. You work effectively with technical and business leaders. You are able to influence other team roadmaps, reach consensus on approach/prioritization, and deliver scientific artifacts and/or products successfully. You serve as the organization's voice on all matters of data analytics and scientific modeling. You identify large risks, endemic problems, areas of opportunity/customer value and when needed, are able to influence other teams to collaborate with your team to build solutions. You champion scientific, engineering, and operational excellence best practices within your team and influence other teams in your organization. You bring in an innovation culture within your team and encourage them for next experiments and innovations. A day in the life You will be responsible for working with product teams to bring in the long-term vision for this charter. You define the project plans & deliverables and unblock the team to consistently deliver. You work with multiple disciplines for effective delivery. You look at options for collaboration and work with other leaders both from Domain expertise and from Science expertise. About the team The vision for the Reading Experience Science & Algorithms team is to enable delightful reading experiences; scale to applicable content and thereby making Kindle the best place to read with the assistance of Science and AI capabilities. BASIC QUALIFICATIONS MS/PhD degree in Computer Vision, Machine Learning, or related areas. Proven track record of shipping AI products. 10+ years of working experience in related AI areas. 5+ years of managing experience of scientists. Excellent business writing, verbal communication, and cross-discipline collaboration skills. PREFERRED QUALIFICATIONS Experience managing software development engineers/ML engineers. Worked with product teams for building vision/strategy for a space. 2+ years of hands-on experience as a Senior Scientist. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Applied Scientist, EUCF L&D, EUCF L&D LEAP team Job ID: Amazon Business EU SARL (UK) - H91 Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in building models for business application. Experience programming in Java, C++, Python or related language. Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field. Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation. Knowledge of RAG and its applications. Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications. Knowledge of prompt engineering. Experience with AWS technologies. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
May 15, 2025
Full time
Applied Scientist, EUCF L&D, EUCF L&D LEAP team Job ID: Amazon Business EU SARL (UK) - H91 Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development. Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development. Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement. Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers. About the team Be part of Amazon's EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you'll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon's learning programs and make a lasting impact on hundreds of thousands of Amazon Associates. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in building models for business application. Experience programming in Java, C++, Python or related language. Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field. Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation. Knowledge of RAG and its applications. Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications. Knowledge of prompt engineering. Experience with AWS technologies. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Vacancy Type: Permanent Location: Stratford-upon-Avon (Hybrid) Salary: Competitive + up to 10% bonus & benefits Valpak has created a friendly and supportive working environment that enables our team to perform to the best of their abilities, with flexible hours, hybrid working options, access to training and opportunities to get involved in various groups to nurture key interests . With social value at the heart of our business ethos, employees can take a day on us to volunteer for an organisation of their choice, and our Charity Committee organises fundraising events for the employee nominated charity of the year. Valpak endorses wellbeing and healthy lifestyles , offering subsidised gym membership , optional healthy living seminars and social events , encouraging cross team integration . Plus the "After Work" social group organises regular gatherings - an opportunity to get to know friendly faces . Our team is passionate, friendly, approachable and dedicated to the business mission - to inspire businesses to do all they can to reduce their environmental impact. If you have an interest in sustainability and like the sound of all Valpak offers, we would love to hear from you! How will I make a difference? As the UK's leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world . To date, our teams work in partnership with more than 400 customers, in nearly every corner of the globe . As Senior IT Analyst, and working alongside the IT Support Analyst your primary role is to provide first-class end-user support to up to 400 staff and ensure the smooth running of IT services to allow them to successfully carry out their roles efficiently. What will I be doing? As the Head of Engineering, your key responsibilities will be: Managing a portfolio of accounts and being the dedicated point of contact . You will: Lead and mentor a team of 6+ Tech Leads overseeing product engineering squads delivering data-centric products Provide strategic guidance , coaching, and professional development opportunities for engineering managers to empower their teams and deliver results Establish and maintain a high-performance culture focused on collaboration, innovation, and continuous improvement Foster a culture of mentorship and leadership development, identifying and nurturing talents Drive the recruitment, retention, and development of top-tier engineering talent within the data engineering team Define and drive the overall data platform strategy with a focus on Azure Cloud to ensure that the organisation's data infrastructure is scalable, reliable, and aligned with business objectives Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database Ensure the data platform supports data engineering, analytics, and data science initiatives across squads Ensure the data platform enables easy access to high-quality , secure, and compliant data for all stakeholders, fostering a self-service analytics environment Cross-Squad Coordination & Alignment: Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence Facilitate collaboration between product management, data science, analytics, and engineering teams to deliver data-driven products and services Define shared goals , success metrics, and timelines for squads to ensure that efforts are aligned with broader business goals Data Strategy & Architecture: Develop and execute the data engineering strategy, ensuring alignment with the company's overall business objectives Oversee the design and implementation of scalable, reliable, and secure data architectures to support various data products and services Ensure adherence to best practices for data governance, security, and compliance across the engineering squads Stay at the forefront of industry trends and emerging technologies, continually improving data engineering capabilities Metrics-Driven Impact: Develop and track success metrics, including data pipeline reliability, availability, and time-to-insight, to evaluate and continuously improve team performance Communicate the impact of data engineering initiatives through clear metrics to stakeholders at all levels Operational Excellence & Process Improvement: Promote operational excellence through the implementation of efficient data engineering workflows, processes, and tools Drive the adoption of best practices for data pipeline development, continuous integration/continuous deployment (CI/CD), and data monitoring Identify and implement opportunities for automation and optimization, improving operational efficiencies across squads Innovation & Technology Leadership: Champion the exploration and adoption of new tools, technologies, and frameworks to improve the effectiveness of data engineering processes and product development Influence the evolution of the company's data architecture to support emerging needs and business growth, including machine learning and AI-based solutions Lead efforts to modernise and scale the data infrastructure, ensuring flexibility for future needs Stakeholder Communication & Reporting: Communicate the status, strategy, and outcomes of data engineering initiatives to senior leadership and other stakeholders Translate complex technical challenges and opportunities into clear business terms for non-technical audiences Track and report on key performance indicators (KPIs), providing regular updates on the health and impact of data engineering initiatives Resource & Project Management: Oversee financial planning , budgeting and controlling for the data engineering organization (CAPEX, OPEX) Lead the prioritisation and allocation of resources across engineering squads, ensuring alignment with business priorities and timely delivery of high-impact projects Balance short-term needs with long-term strategic goals, ensuring that data engineering efforts are sustainable and scalable Oversee the management of project timelines , budgets, and deliverables, ensuring successful execution of data product initiatives What kind of businesses will I be working with? What benefits will I receive? We strive to make Valpak an employer of choice. Whether it's achieving work-life balance , helping towards a healthier lifestyle , or saving money . We have a range of benefits to help support you, including: Hybrid working and flexi Friday early finish Company annual bonus - up to 10% Enhanced pension scheme with Aviva (doubled up to 8%) Access to voluntary benefits such as private medical insurance, cycle to work scheme and subsidised gym membership Enhanced maternity pay 25 days annual leave and option to buy/sell additional days Annual volunteering day An extra day off for your birthday Access to a savings platform that includes discounts and money-off promotions from 800+ retailers Wellbeing initiatives If you would like to be considered for more than one role, or any future roles, please send your CV to . Join over 1,000 people who receive fortnightly industry news updates. By clicking 'Submit' you are indicating your consent to the use of your personal data as explained in our Privacy Policy.
May 15, 2025
Full time
Vacancy Type: Permanent Location: Stratford-upon-Avon (Hybrid) Salary: Competitive + up to 10% bonus & benefits Valpak has created a friendly and supportive working environment that enables our team to perform to the best of their abilities, with flexible hours, hybrid working options, access to training and opportunities to get involved in various groups to nurture key interests . With social value at the heart of our business ethos, employees can take a day on us to volunteer for an organisation of their choice, and our Charity Committee organises fundraising events for the employee nominated charity of the year. Valpak endorses wellbeing and healthy lifestyles , offering subsidised gym membership , optional healthy living seminars and social events , encouraging cross team integration . Plus the "After Work" social group organises regular gatherings - an opportunity to get to know friendly faces . Our team is passionate, friendly, approachable and dedicated to the business mission - to inspire businesses to do all they can to reduce their environmental impact. If you have an interest in sustainability and like the sound of all Valpak offers, we would love to hear from you! How will I make a difference? As the UK's leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world . To date, our teams work in partnership with more than 400 customers, in nearly every corner of the globe . As Senior IT Analyst, and working alongside the IT Support Analyst your primary role is to provide first-class end-user support to up to 400 staff and ensure the smooth running of IT services to allow them to successfully carry out their roles efficiently. What will I be doing? As the Head of Engineering, your key responsibilities will be: Managing a portfolio of accounts and being the dedicated point of contact . You will: Lead and mentor a team of 6+ Tech Leads overseeing product engineering squads delivering data-centric products Provide strategic guidance , coaching, and professional development opportunities for engineering managers to empower their teams and deliver results Establish and maintain a high-performance culture focused on collaboration, innovation, and continuous improvement Foster a culture of mentorship and leadership development, identifying and nurturing talents Drive the recruitment, retention, and development of top-tier engineering talent within the data engineering team Define and drive the overall data platform strategy with a focus on Azure Cloud to ensure that the organisation's data infrastructure is scalable, reliable, and aligned with business objectives Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database Ensure the data platform supports data engineering, analytics, and data science initiatives across squads Ensure the data platform enables easy access to high-quality , secure, and compliant data for all stakeholders, fostering a self-service analytics environment Cross-Squad Coordination & Alignment: Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence Facilitate collaboration between product management, data science, analytics, and engineering teams to deliver data-driven products and services Define shared goals , success metrics, and timelines for squads to ensure that efforts are aligned with broader business goals Data Strategy & Architecture: Develop and execute the data engineering strategy, ensuring alignment with the company's overall business objectives Oversee the design and implementation of scalable, reliable, and secure data architectures to support various data products and services Ensure adherence to best practices for data governance, security, and compliance across the engineering squads Stay at the forefront of industry trends and emerging technologies, continually improving data engineering capabilities Metrics-Driven Impact: Develop and track success metrics, including data pipeline reliability, availability, and time-to-insight, to evaluate and continuously improve team performance Communicate the impact of data engineering initiatives through clear metrics to stakeholders at all levels Operational Excellence & Process Improvement: Promote operational excellence through the implementation of efficient data engineering workflows, processes, and tools Drive the adoption of best practices for data pipeline development, continuous integration/continuous deployment (CI/CD), and data monitoring Identify and implement opportunities for automation and optimization, improving operational efficiencies across squads Innovation & Technology Leadership: Champion the exploration and adoption of new tools, technologies, and frameworks to improve the effectiveness of data engineering processes and product development Influence the evolution of the company's data architecture to support emerging needs and business growth, including machine learning and AI-based solutions Lead efforts to modernise and scale the data infrastructure, ensuring flexibility for future needs Stakeholder Communication & Reporting: Communicate the status, strategy, and outcomes of data engineering initiatives to senior leadership and other stakeholders Translate complex technical challenges and opportunities into clear business terms for non-technical audiences Track and report on key performance indicators (KPIs), providing regular updates on the health and impact of data engineering initiatives Resource & Project Management: Oversee financial planning , budgeting and controlling for the data engineering organization (CAPEX, OPEX) Lead the prioritisation and allocation of resources across engineering squads, ensuring alignment with business priorities and timely delivery of high-impact projects Balance short-term needs with long-term strategic goals, ensuring that data engineering efforts are sustainable and scalable Oversee the management of project timelines , budgets, and deliverables, ensuring successful execution of data product initiatives What kind of businesses will I be working with? What benefits will I receive? We strive to make Valpak an employer of choice. Whether it's achieving work-life balance , helping towards a healthier lifestyle , or saving money . We have a range of benefits to help support you, including: Hybrid working and flexi Friday early finish Company annual bonus - up to 10% Enhanced pension scheme with Aviva (doubled up to 8%) Access to voluntary benefits such as private medical insurance, cycle to work scheme and subsidised gym membership Enhanced maternity pay 25 days annual leave and option to buy/sell additional days Annual volunteering day An extra day off for your birthday Access to a savings platform that includes discounts and money-off promotions from 800+ retailers Wellbeing initiatives If you would like to be considered for more than one role, or any future roles, please send your CV to . Join over 1,000 people who receive fortnightly industry news updates. By clicking 'Submit' you are indicating your consent to the use of your personal data as explained in our Privacy Policy.
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
May 15, 2025
Full time
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
Applied Scientist II, Partner Growth Experience EU INTech Partner Growth Experience (PGX) is seeking an Applied Scientist to lead the development of machine learning solutions for the EU Consumer Electronics business. In this role, you will push the boundaries of advanced ML techniques and collaborate closely with product and engineering teams to create innovative buying and forecasting solutions for the business. These new models will primarily benefit the Smart Retail project that aims to revolutionize CPFR (Collaborative Planning, Forecasting, and Replenishment) Retail operations, driving automation, enhancing decision-making processes, and achieving scale across eligible categories such as PC, Home Entertainment, or Wireless. The Smart Retail solution is composed of an internal interface automating selection management mechanisms currently performed manually, followed by the creation of a vendor-facing interface on Vendor Central reducing time spent collecting required inputs. The project's key functionalities include (i) a Ranging model operating from category to product attributes level, pre-ASIN creation and when selection is substitutable, (ii) an advanced forecasting model designed for new selection and accounting cannibalization, (iii) ordering inputs optimization in line with SCOT guideline compliance, and intelligent inventory management for sell-through tracking. Smart Retail success also depends on its integration with existing systems (SCOT) to minimize manual intervention and increase accuracy. Key job responsibilities Design, develop, and deploy advanced machine learning models to address complex, real-world challenges at scale. Build new forecasting and time-series models or enhance existing methods using scalable techniques. Partner with cross-functional teams, including product managers and engineers, to identify impactful opportunities and deliver science-driven solutions. Develop and optimize scalable ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements in ML research, contribute to top-tier publications, and actively engage with the scientific community. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 15, 2025
Full time
Applied Scientist II, Partner Growth Experience EU INTech Partner Growth Experience (PGX) is seeking an Applied Scientist to lead the development of machine learning solutions for the EU Consumer Electronics business. In this role, you will push the boundaries of advanced ML techniques and collaborate closely with product and engineering teams to create innovative buying and forecasting solutions for the business. These new models will primarily benefit the Smart Retail project that aims to revolutionize CPFR (Collaborative Planning, Forecasting, and Replenishment) Retail operations, driving automation, enhancing decision-making processes, and achieving scale across eligible categories such as PC, Home Entertainment, or Wireless. The Smart Retail solution is composed of an internal interface automating selection management mechanisms currently performed manually, followed by the creation of a vendor-facing interface on Vendor Central reducing time spent collecting required inputs. The project's key functionalities include (i) a Ranging model operating from category to product attributes level, pre-ASIN creation and when selection is substitutable, (ii) an advanced forecasting model designed for new selection and accounting cannibalization, (iii) ordering inputs optimization in line with SCOT guideline compliance, and intelligent inventory management for sell-through tracking. Smart Retail success also depends on its integration with existing systems (SCOT) to minimize manual intervention and increase accuracy. Key job responsibilities Design, develop, and deploy advanced machine learning models to address complex, real-world challenges at scale. Build new forecasting and time-series models or enhance existing methods using scalable techniques. Partner with cross-functional teams, including product managers and engineers, to identify impactful opportunities and deliver science-driven solutions. Develop and optimize scalable ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements in ML research, contribute to top-tier publications, and actively engage with the scientific community. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 15, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Senior Applied Scientist, Japan Retail Science The JP Retail Science team is looking for an Senior Applied Scientist to expand our efforts in vendor tooling. To help vendors grow their business, Amazon provides multiple programs such as deals, ads, etc. In this position, you will be expected to research, design and build new models to evaluate the downstream impact of those programs, and provide recommendation on the most appropriate programs depending on the vendor need. It will require working in the areas of ML and causal inference for downstream impact estimation. The ideal candidate will have knowledge of at least one of ray, spark or rapidsai framework to accelerate model training. A background in causal inference (e.g. Double ML) is a plus but not required. This is the ideal role if you are excited about leveraging science for tangible business impact. You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are a team that thrives on growth, both personal and professional. Engage in academic collaborations, spark innovation in hackathons, and expand your horizons with conference visits. Key job responsibilities As a Senior Applied Scientist, your responsibilities will be: - Work closely with other scientists and engineers to review and improve your model design proposals. - Partner with product managers and other business stakeholders, documenting and explaining your progress in business reviews, and being the technical voice in charge of your product. - Spot opportunities for innovation and scientific publications, and publish to internal or external conferences. - Be active in the community, participating in science education/growth activities. - Keep up to date with scientific development in the field. About the team JP Retail Science is a team of Applied Scientists, Science Managers, and Business Intelligence Engineers. The team's charter is to develop science-based models to help all Amazon vendors to maximize their growth. From our base office in Tokyo, Japan, we build for all vendors worldwide, and collaborate with other science teams in Europe and US. Because we are not tied to a specific technology, such as Search or Alexa, our projects and the science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization. A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs, and conference participation. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS - PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 15, 2025
Full time
Senior Applied Scientist, Japan Retail Science The JP Retail Science team is looking for an Senior Applied Scientist to expand our efforts in vendor tooling. To help vendors grow their business, Amazon provides multiple programs such as deals, ads, etc. In this position, you will be expected to research, design and build new models to evaluate the downstream impact of those programs, and provide recommendation on the most appropriate programs depending on the vendor need. It will require working in the areas of ML and causal inference for downstream impact estimation. The ideal candidate will have knowledge of at least one of ray, spark or rapidsai framework to accelerate model training. A background in causal inference (e.g. Double ML) is a plus but not required. This is the ideal role if you are excited about leveraging science for tangible business impact. You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are a team that thrives on growth, both personal and professional. Engage in academic collaborations, spark innovation in hackathons, and expand your horizons with conference visits. Key job responsibilities As a Senior Applied Scientist, your responsibilities will be: - Work closely with other scientists and engineers to review and improve your model design proposals. - Partner with product managers and other business stakeholders, documenting and explaining your progress in business reviews, and being the technical voice in charge of your product. - Spot opportunities for innovation and scientific publications, and publish to internal or external conferences. - Be active in the community, participating in science education/growth activities. - Keep up to date with scientific development in the field. About the team JP Retail Science is a team of Applied Scientists, Science Managers, and Business Intelligence Engineers. The team's charter is to develop science-based models to help all Amazon vendors to maximize their growth. From our base office in Tokyo, Japan, we build for all vendors worldwide, and collaborate with other science teams in Europe and US. Because we are not tied to a specific technology, such as Search or Alexa, our projects and the science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization. A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs, and conference participation. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS - PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
May 15, 2025
Full time
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
May 14, 2025
Full time
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
May 14, 2025
Full time
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
May 14, 2025
Full time
Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal 500, 'Band 1' in Chambers & Partners UK, 'Gold Ranked' for EPO work and 'Top Tier' in IAM Patent 1000, as well as being 'Recommended' in MIP IP Stars and WTR. There has never been a more exciting time to work for us. We have seen sustained growth in the last 6 years across our five offices in Bristol, Cambridge, London, Manchester and Munich. Join us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence / Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge of this ever-expanding field. The role can be based at any of our UK offices and will involve working closely with a number of Partners, fellow Associates as well as Trainees and IPSS specialists. A role here means access to a diverse client base from the get-go but with the scope and requirement to build the client base further. We offer a wide range of high-quality work with particular focus on drafting along with prosecution, opposition work, freedom to operate and opinion work. It will be highly commercial, involving work with clients all over the world on portfolios of various size from start-up to multinational companies, where there is typically a strong leaning on us to drive IP strategy in this field. We focus on quality of advice and technical expertise, working for clients and industries who strongly value IP. It will be a challenging and exciting opportunity for a motivated patent attorney keen to work in fast-moving growth markets. We have a forward-looking, ambitious and inclusive approach at Mewburn Ellis and as a part-qualified Trainee or Associate, you can expect to develop your full potential. Your career is important to us, and we will invest in you to allow you to grow personally and professionally - so you don't need experience in every area as we will upskill and support your learning every step of the way. What's in it for you? Competitive salary & associate bonus scheme Hybrid office and home working (50/50) 30 days leave (exc. Bank Holidays) Generous pension scheme, enhanced family leave Cycle to work scheme, interest-free season travel ticket loan Firmwide discretionary bonus scheme Paid day off for charitable endeavours Discount Voucher Scheme, Electric Car Scheme Workplace ISA, Medicash, Care concierge You'll hone your skills as a Patent Attorney through development reviews, internal and external tutorials, and regular input from experienced partners. And because we are merit-based, joining us means your career progression is in your own hands. Our successful growth story is down to our people. And we take the wellbeing of our people seriously - offering a huge suite of initiatives to de-stress, engage and enthuse. We care about wider society too, and the communities in which we operate - read about our Forward Community Programme to find out more about how we're giving back. About you An enquiring, solution-orientated mind and a high-quality focus are a few traits we look for and you'll have at least two years in the Intellectual Property profession. We can consider candidates with a formal qualification in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. The level, depth and split of academic and working patent knowledge will depend on the level at which you join but we are open to discussing this on an individual basis. In addition to the technical side, you'll possess the ability and experience to work independently, to manage projects and workflows, and to contribute to BD efforts in the field. Being personable and approachable, with a willingness to continuously learn will also help! If you are excited by the prospect of this role and where a career with Mewburn Ellis could take you, we'd love to hear from you. Please send a CV to our Resourcing and Talent Manager We're committed to equal opportunities and welcome a broad diversity of talent to apply. We reserve the right to cease advertising should we receive a high number of applicants. Your privacy As part of our recruitment process, Mewburn Ellis collects and processes personal data relating to job applicants. Read our Job Applicant Privacy Policy for more details.
Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary.
May 14, 2025
Full time
Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary.
RWE Renewables UK Management Ltd. To start as soon as possible, full time, permanent Functional area: Engineering Sitting within the Geophysics and Metocean team, and working closely with the Geotechnical Engineering and site survey package management team, your role will be to work with a data management contractor to manage, QC and organise the offshore and onshore geological, geophysical, geotechnical, metocean and environmental data, for RWE's portfolio of offshore wind farm projects. The data we acquire covers all stages of the wind farm projects from early site prospecting through construction, onto operations and maintenance, and eventually, end-of-life, decommissioning or repowering surveys. About the role: Working in conjunction with team leads to prioritise and plan the pipeline of datasets to move through the data management system, including the planning of data moves from different storage accounts (e.g. hot, and cold storage) Management, QC and organisation of geoscientific data, including checking the data to meet our data format and filetype requirements Coordination with data stakeholders within RWE and externally to ensure the efficient transfer, storage, and use of geophysical datasets Preparation of geoscientific data for submission to regulators, e.g. The Crown Estate Supporting the development of technical tenders and scope, to ensure planned surveys meet the requirements of a range of stakeholders and regulators based on the implementation of lessons learned from the QC of geoscience datasets Supporting technical tender assessment and review, to ensure suppliers can meet data delivery requirements Supporting the site investigation teams to review data during and on completion of surveys to ensure our surveys deliver high levels of quality and accuracy Collaborating with IT and other departments to ensure the proper functioning of data management systems. Job requirements and experience: Background in geoscientific data management and experience reviewing technical reports and large technical datasets, including QC of, and knowledge of metadata standards Detail-orientated with the ability to solve technical problems and collaborate with a wide range of different stakeholders Knowledge of governance processes for data management and Q-FAIR data management philosophy Ability to QC large and varied geophysical datasets, including deliverables for sidescan sonar, magnetometer, gradiometer, sub-bottom profiler, and UHRS data Familiarity with specialist software such as ArcGIS, SonarWiz, Oasis Montaj, IHS Kingdom, Petrel, etc. and understanding of cloud-based data storage solutions Familiarity with geophysical and hydrographic survey techniques and their respective deliverables and data formats, and if not already known, an interest in learning geotechnical, metocean and environmental data deliverables and formats Good understanding of requirements for pUXO, archaeological, environmental and hydrographic surveys for all stages of project development, and good understanding of Industry Technical Codes, Process and Regulations and European regulatory requirements for offshore wind surveys You work with multi-discipline groups and communicate at all levels; you are a good communicator and an engaged collaborator High regard and good knowledge of current European (or local country equivalent) health, safety and environmental legislation MSc or equivalent in Geophysics, or a relevant geoscience discipline Advantageous, but not essential: Interpretation and integration experience of geophysical and geotechnical datasets Knowledge of use cases for machine learning for geoscience data applicable to ground modelling and ability to build scripts for geoscience data management, processing and interpretation Knowledge of OSDU (Open Subsurface Data Universe) Willingness to travel internationally Flexibility to work some time "out of hours" as part of a wider survey team to provide technical support to live survey project From here, you benefit from many further advantages - Curious? Then click here ! Apply with just a few clicks: ad code 90039, application period: 23/05/2025. Any questions? Contact HR: Marie Bennell We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. RWE Offshore Wind will play a central role in realising our purpose and vision so far being the No.2 generator globally. The company's 3,500+ experts operate more than 1.000 fixed bottom and floating wind turbines in 19 wind farms. And we plan to increase our capacity from the current 3.3 GW to 10 GW by 2030 (RWE's share). In connection with current projects in development as well as upcoming auctions in Europe, the United States, and the Asia-Pacific region, RWE Offshore Wind is preparing to implement further complex projects. RWE Offshore Wind tests a wide variety of new technologies in our offshore wind farms, enabling these plants to operate more efficiently and economically. In addition, we are involved in and committed to numerous programmes and initiatives that are designed to accelerate innovation in offshore wind and promote the development of new industry standards which allows you to have the freedom to act with conviction and courage as we pivot to new technologies - and continuously improve, together. Want to learn more about working for RWE Offshore? Join Our Journey Offshore by watching the miniseries including 6 episodes, 5 ambassadors and one exciting trip Offshore. Video Player is loading. Current Time 0:00 / Duration -:- Loaded : 0% Stream Type LIVE Remaining Time - 0:00 1x Chapters descriptions off , selected subtitles off , selected This is a modal window. Beginning of dialog window. Escape will cancel and close the window.
May 14, 2025
Full time
RWE Renewables UK Management Ltd. To start as soon as possible, full time, permanent Functional area: Engineering Sitting within the Geophysics and Metocean team, and working closely with the Geotechnical Engineering and site survey package management team, your role will be to work with a data management contractor to manage, QC and organise the offshore and onshore geological, geophysical, geotechnical, metocean and environmental data, for RWE's portfolio of offshore wind farm projects. The data we acquire covers all stages of the wind farm projects from early site prospecting through construction, onto operations and maintenance, and eventually, end-of-life, decommissioning or repowering surveys. About the role: Working in conjunction with team leads to prioritise and plan the pipeline of datasets to move through the data management system, including the planning of data moves from different storage accounts (e.g. hot, and cold storage) Management, QC and organisation of geoscientific data, including checking the data to meet our data format and filetype requirements Coordination with data stakeholders within RWE and externally to ensure the efficient transfer, storage, and use of geophysical datasets Preparation of geoscientific data for submission to regulators, e.g. The Crown Estate Supporting the development of technical tenders and scope, to ensure planned surveys meet the requirements of a range of stakeholders and regulators based on the implementation of lessons learned from the QC of geoscience datasets Supporting technical tender assessment and review, to ensure suppliers can meet data delivery requirements Supporting the site investigation teams to review data during and on completion of surveys to ensure our surveys deliver high levels of quality and accuracy Collaborating with IT and other departments to ensure the proper functioning of data management systems. Job requirements and experience: Background in geoscientific data management and experience reviewing technical reports and large technical datasets, including QC of, and knowledge of metadata standards Detail-orientated with the ability to solve technical problems and collaborate with a wide range of different stakeholders Knowledge of governance processes for data management and Q-FAIR data management philosophy Ability to QC large and varied geophysical datasets, including deliverables for sidescan sonar, magnetometer, gradiometer, sub-bottom profiler, and UHRS data Familiarity with specialist software such as ArcGIS, SonarWiz, Oasis Montaj, IHS Kingdom, Petrel, etc. and understanding of cloud-based data storage solutions Familiarity with geophysical and hydrographic survey techniques and their respective deliverables and data formats, and if not already known, an interest in learning geotechnical, metocean and environmental data deliverables and formats Good understanding of requirements for pUXO, archaeological, environmental and hydrographic surveys for all stages of project development, and good understanding of Industry Technical Codes, Process and Regulations and European regulatory requirements for offshore wind surveys You work with multi-discipline groups and communicate at all levels; you are a good communicator and an engaged collaborator High regard and good knowledge of current European (or local country equivalent) health, safety and environmental legislation MSc or equivalent in Geophysics, or a relevant geoscience discipline Advantageous, but not essential: Interpretation and integration experience of geophysical and geotechnical datasets Knowledge of use cases for machine learning for geoscience data applicable to ground modelling and ability to build scripts for geoscience data management, processing and interpretation Knowledge of OSDU (Open Subsurface Data Universe) Willingness to travel internationally Flexibility to work some time "out of hours" as part of a wider survey team to provide technical support to live survey project From here, you benefit from many further advantages - Curious? Then click here ! Apply with just a few clicks: ad code 90039, application period: 23/05/2025. Any questions? Contact HR: Marie Bennell We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. RWE Offshore Wind will play a central role in realising our purpose and vision so far being the No.2 generator globally. The company's 3,500+ experts operate more than 1.000 fixed bottom and floating wind turbines in 19 wind farms. And we plan to increase our capacity from the current 3.3 GW to 10 GW by 2030 (RWE's share). In connection with current projects in development as well as upcoming auctions in Europe, the United States, and the Asia-Pacific region, RWE Offshore Wind is preparing to implement further complex projects. RWE Offshore Wind tests a wide variety of new technologies in our offshore wind farms, enabling these plants to operate more efficiently and economically. In addition, we are involved in and committed to numerous programmes and initiatives that are designed to accelerate innovation in offshore wind and promote the development of new industry standards which allows you to have the freedom to act with conviction and courage as we pivot to new technologies - and continuously improve, together. Want to learn more about working for RWE Offshore? Join Our Journey Offshore by watching the miniseries including 6 episodes, 5 ambassadors and one exciting trip Offshore. Video Player is loading. Current Time 0:00 / Duration -:- Loaded : 0% Stream Type LIVE Remaining Time - 0:00 1x Chapters descriptions off , selected subtitles off , selected This is a modal window. Beginning of dialog window. Escape will cancel and close the window.
Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machine learning background to help build industry-leading Speech and Language technology. Key Job Responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across the US, EU, and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high-quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative, and accomplished applied sciences manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? As an applied sciences manager for Traffic Quality, you will lead a team of applied scientists, data scientists, and engineers to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics, and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte-scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business goals. Major Responsibilities Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group. Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers. Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production. Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry-leading traffic quality solution. Learn continuously about new developments in machine learning and AI, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry-leading solution for Amazon advertising. BASIC QUALIFICATIONS A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building. Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results. Strong communication and data presentation skills. Strong ability in problem solving and driving for results. PREFERRED QUALIFICATIONS Technical leader with 10+ years of exceptional, hands-on experience in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. Ph.D. degree in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machine learning and artificial intelligence. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 14, 2025
Full time
Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machine learning background to help build industry-leading Speech and Language technology. Key Job Responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across the US, EU, and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high-quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative, and accomplished applied sciences manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? As an applied sciences manager for Traffic Quality, you will lead a team of applied scientists, data scientists, and engineers to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics, and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte-scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business goals. Major Responsibilities Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group. Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers. Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production. Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry-leading traffic quality solution. Learn continuously about new developments in machine learning and AI, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry-leading solution for Amazon advertising. BASIC QUALIFICATIONS A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building. Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results. Strong communication and data presentation skills. Strong ability in problem solving and driving for results. PREFERRED QUALIFICATIONS Technical leader with 10+ years of exceptional, hands-on experience in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. Ph.D. degree in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machine learning and artificial intelligence. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Job Profile We are seeking a highly experienced and strategic Principal Product Manager - Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact. Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence. Your Responsibilities Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives. Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models. Identify customer and business problems that can be addressed through AI/ML solutions. Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities. Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes. Partner with engineering teams to ensure seamless integration of machine learning models into production environments. Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs. Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products. Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities. Required Skills, Qualifications, and Experience Bachelor's degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus. 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products. Strong understanding of machine learning concepts, data pipelines, and AI-driven applications. Experience working closely with data science and engineering teams to bring ML models to production. Proven ability to manage complex, technical projects with multiple stakeholders. Strong analytical and problem-solving skills, with a data-driven approach to decision-making. Excellent communication and stakeholder management skills. Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.
May 14, 2025
Full time
Job Profile We are seeking a highly experienced and strategic Principal Product Manager - Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact. Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence. Your Responsibilities Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives. Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models. Identify customer and business problems that can be addressed through AI/ML solutions. Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities. Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes. Partner with engineering teams to ensure seamless integration of machine learning models into production environments. Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs. Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products. Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities. Required Skills, Qualifications, and Experience Bachelor's degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus. 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products. Strong understanding of machine learning concepts, data pipelines, and AI-driven applications. Experience working closely with data science and engineering teams to bring ML models to production. Proven ability to manage complex, technical projects with multiple stakeholders. Strong analytical and problem-solving skills, with a data-driven approach to decision-making. Excellent communication and stakeholder management skills. Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.
Select how often (in days) to receive an alert: The Data and Decision Sciences (DDS) team is at the core of Bauer Media Audio with a mission to leverage data as a strategic enabler across our nine European markets. Our goal is to provide trusted, actionable insights and robust data solutions that empower business growth, enhance audience engagement, and drive operational efficiency. The DDS team operates as a collaborative, cross-functional unit that bridges the gap between data and business strategy, delivering solutions that align with our organizational goals and market needs. We are structured to support our stakeholders with a combination of centralized capabilities and localized expertise, ensuring that data drives value across the entire organization. We see data not as a support function but as an integral business partner that collaborates across all domain and market teams to deliver impactful business outcomes. Role Overview The Head of Data Science and Analytics will grow and lead a high-performing team of data scientists and analysts to drive value through advanced analytics, experimentation, and insight generation across Bauer Media Audio's digital, product, commercial, and operational domains. This role will play a pivotal part in embedding data-driven thinking across the organisation, enabling actionable insights that influence product decisions, consumer engagement strategies, operational efficiencies, and revenue optimisation. You will define and deliver the vision and strategy for data science and analytics, ensuring alignment with broader business objectives and technological direction. Key Responsibilities Strategic Leadership & Vision Define and lead the data science and analytics strategy to support Bauer Media Audio's growth across digital platforms, products, and commercial models. Partner with senior stakeholders to identify opportunities for data-driven decision-making across content, product, commercial, and operational teams. Establish best practices and standards for analytics, experimentation, forecasting, and model development across the organisation. Lead and scale high-impact analytics across: Audience Analytics & Portfolio Optimisation: Enhance engagement across our Audio assets supporting strategic decisions around content mix and audience development. Product Analytics: Optimise digital product performance through user journey analysis, feature tracking, and experimentation. Operations Research: Apply forecasting, optimisation, and simulation techniques to improve scheduling, resource allocation, and overall efficiency. Revenue Management: Use advanced modelling to optimise pricing, yield, and inventory across advertising and commercial products. Consumer Competitions: Drive performance of SMS-based radio competitions through player segmentation outbound campaign optimisation and targeting strategies. Team Management & Development Manage and grow a diverse team of analysts and data scientists with varied specialisations, ensuring skill development and strong performance. Foster a collaborative and innovative culture, promoting knowledge sharing and experimentation across the team. Act as a mentor and coach to emerging talent, helping build long-term career paths within the organisation. Collaboration & Stakeholder Engagement Work closely with Heads of Data Engineering, and our Principal Data Solutions Architect to ensure analytical initiatives are supported by robust, scalable data platforms and tools. Collaborate with cross-functional stakeholders in Product, Marketing, Editorial, Technology, and Commercial teams across our Markets and central teams to turn business questions into data solutions. Communicate findings clearly and persuasively to senior executives and non-technical stakeholders. Collaborate with our Transformation Program Manager ensuring our innovative data products and solutions are aligned with our transformation strategy and are adopted my our stkeholders. Drive adoption of advanced analytics techniques including machine learning, A/B testing, causal inference, and recommendation systems. Champion experimentation frameworks and data literacy across business functions. Stay up to date with industry and academic developments in data science, identifying opportunities to incorporate cutting-edge methods. Key Qualifications 10+ years of experience in data science, analytics, or quantitative strategy roles, with at least 5 years in a leadership position. Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. Deep expertise in product and digital analytics, including behavioural segmentation, funnel analysis, experimentation, and lifetime value modelling. Experience with revenue management, pricing strategy, or commercial optimisation is highly desirable. Proficiency in modern analytics tools and programming languages (e.g., Python, R, SQL, dbt, Looker, Tableau). Excellent communication and stakeholder management skills with the ability to influence at all levels of the business. Experience operating in a fast-paced, cross-functional, agile environment. Passion for media, content, and digital innovation. About Bauer Media Group We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe's largest Publishers. From women's and celebrities' magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France - both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people's everyday lives. What's in it for you You'll have 25 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider - Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You'll have the opportunity for flexible working. And much more! Find the full details of our benefits here Please Note: We are actively seeking this position. You should hear from us within 48 hours of the expiry date. Please note on some occasions the role may be closed before date shown or need to be extended. If you have any feedback regarding our UK recruitment process, please email we would love to hear from you.
May 14, 2025
Full time
Select how often (in days) to receive an alert: The Data and Decision Sciences (DDS) team is at the core of Bauer Media Audio with a mission to leverage data as a strategic enabler across our nine European markets. Our goal is to provide trusted, actionable insights and robust data solutions that empower business growth, enhance audience engagement, and drive operational efficiency. The DDS team operates as a collaborative, cross-functional unit that bridges the gap between data and business strategy, delivering solutions that align with our organizational goals and market needs. We are structured to support our stakeholders with a combination of centralized capabilities and localized expertise, ensuring that data drives value across the entire organization. We see data not as a support function but as an integral business partner that collaborates across all domain and market teams to deliver impactful business outcomes. Role Overview The Head of Data Science and Analytics will grow and lead a high-performing team of data scientists and analysts to drive value through advanced analytics, experimentation, and insight generation across Bauer Media Audio's digital, product, commercial, and operational domains. This role will play a pivotal part in embedding data-driven thinking across the organisation, enabling actionable insights that influence product decisions, consumer engagement strategies, operational efficiencies, and revenue optimisation. You will define and deliver the vision and strategy for data science and analytics, ensuring alignment with broader business objectives and technological direction. Key Responsibilities Strategic Leadership & Vision Define and lead the data science and analytics strategy to support Bauer Media Audio's growth across digital platforms, products, and commercial models. Partner with senior stakeholders to identify opportunities for data-driven decision-making across content, product, commercial, and operational teams. Establish best practices and standards for analytics, experimentation, forecasting, and model development across the organisation. Lead and scale high-impact analytics across: Audience Analytics & Portfolio Optimisation: Enhance engagement across our Audio assets supporting strategic decisions around content mix and audience development. Product Analytics: Optimise digital product performance through user journey analysis, feature tracking, and experimentation. Operations Research: Apply forecasting, optimisation, and simulation techniques to improve scheduling, resource allocation, and overall efficiency. Revenue Management: Use advanced modelling to optimise pricing, yield, and inventory across advertising and commercial products. Consumer Competitions: Drive performance of SMS-based radio competitions through player segmentation outbound campaign optimisation and targeting strategies. Team Management & Development Manage and grow a diverse team of analysts and data scientists with varied specialisations, ensuring skill development and strong performance. Foster a collaborative and innovative culture, promoting knowledge sharing and experimentation across the team. Act as a mentor and coach to emerging talent, helping build long-term career paths within the organisation. Collaboration & Stakeholder Engagement Work closely with Heads of Data Engineering, and our Principal Data Solutions Architect to ensure analytical initiatives are supported by robust, scalable data platforms and tools. Collaborate with cross-functional stakeholders in Product, Marketing, Editorial, Technology, and Commercial teams across our Markets and central teams to turn business questions into data solutions. Communicate findings clearly and persuasively to senior executives and non-technical stakeholders. Collaborate with our Transformation Program Manager ensuring our innovative data products and solutions are aligned with our transformation strategy and are adopted my our stkeholders. Drive adoption of advanced analytics techniques including machine learning, A/B testing, causal inference, and recommendation systems. Champion experimentation frameworks and data literacy across business functions. Stay up to date with industry and academic developments in data science, identifying opportunities to incorporate cutting-edge methods. Key Qualifications 10+ years of experience in data science, analytics, or quantitative strategy roles, with at least 5 years in a leadership position. Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. Deep expertise in product and digital analytics, including behavioural segmentation, funnel analysis, experimentation, and lifetime value modelling. Experience with revenue management, pricing strategy, or commercial optimisation is highly desirable. Proficiency in modern analytics tools and programming languages (e.g., Python, R, SQL, dbt, Looker, Tableau). Excellent communication and stakeholder management skills with the ability to influence at all levels of the business. Experience operating in a fast-paced, cross-functional, agile environment. Passion for media, content, and digital innovation. About Bauer Media Group We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe's largest Publishers. From women's and celebrities' magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France - both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people's everyday lives. What's in it for you You'll have 25 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider - Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You'll have the opportunity for flexible working. And much more! Find the full details of our benefits here Please Note: We are actively seeking this position. You should hear from us within 48 hours of the expiry date. Please note on some occasions the role may be closed before date shown or need to be extended. If you have any feedback regarding our UK recruitment process, please email we would love to hear from you.
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline's goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow Have experience with agile delivery methodologies and CI/CD processes and tools Have a broad understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe every day, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
May 13, 2025
Full time
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline's goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow Have experience with agile delivery methodologies and CI/CD processes and tools Have a broad understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe every day, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term 'sensitive content' includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term 'content' refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS 4+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Posted: October 1, 2024 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for a leader with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities You'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the hiring group About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term 'sensitive content' includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term 'content' refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS 4+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Posted: October 1, 2024 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
