Principal Applied Scientist, Personalization Team Were looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scie click apply for full job details
May 03, 2024
Full time
Principal Applied Scientist, Personalization Team Were looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scie click apply for full job details
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) 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 03, 2024
Full time
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) 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.
Role Overview Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological evolution. Key Responsibilities - Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment in collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power insightful models. - Develop Scalable Algorithms: Create algorithms that are accurate and adaptable, ensuring reliable predictions across evolving datasets. - Prototype to Production: Collaborate with the engineering team to transition analytical prototypes into optimized, scalable, and integrated production applications. - Drive Business Insights: Extract actionable insights from data to inform strategic decisions and promote business improvements, communicating findings clearly to stakeholders. Required Qualifications - Master's degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering). - 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms. - Proficiency in Python and SQL. Nice to Have - Leadership and project management experience, with a knack for leading cross-functional teams and mentoring. - Advanced analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving ML/AI field. Employee Benefits At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include: - Comprehensive Medical Insurance for you and your dependents - In-Office Snacks Pantry - Relocation Support - Children's School Allowance - Role-Related Training Support - Wellness Programs - Salary Advance for Housing Costs - Travel Tickets - Pension Contributions We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.
May 02, 2024
Full time
Role Overview Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological evolution. Key Responsibilities - Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment in collaboration with Software team. - Ensure Data Integrity : Conduct data audits, cleanse data, and strategize on acquiring quality data to power insightful models. - Develop Scalable Algorithms: Create algorithms that are accurate and adaptable, ensuring reliable predictions across evolving datasets. - Prototype to Production: Collaborate with the engineering team to transition analytical prototypes into optimized, scalable, and integrated production applications. - Drive Business Insights: Extract actionable insights from data to inform strategic decisions and promote business improvements, communicating findings clearly to stakeholders. Required Qualifications - Master's degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering). - 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms. - Proficiency in Python and SQL. Nice to Have - Leadership and project management experience, with a knack for leading cross-functional teams and mentoring. - Advanced analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving ML/AI field. Employee Benefits At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include: - Comprehensive Medical Insurance for you and your dependents - In-Office Snacks Pantry - Relocation Support - Children's School Allowance - Role-Related Training Support - Wellness Programs - Salary Advance for Housing Costs - Travel Tickets - Pension Contributions We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.
Management Consultant: Data Analytics Lead - Managing Principal (Senior Manager) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. THE ROLE We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of the data analytics capability, identifying business development opportunities on new and existing clients, and aiding the development of client proposals, and propositions. You will help to develop the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning.Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers voted us as the A-Team Best Consultancy in Data Management in 2021 and 2022, and value our ability to identify and develop top data talent. In addition to winning the Best Consultancy of the year 2022 in the British Banking Awards. AS A DATA ANALYTICS LEAD YOU WILL Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids. Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions. Build market networks and relationships, to enhance the market awareness of the UK Data Practice. Contribute to internally and externally facing innovation practice in your field Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders. SKILLS & EXPERTISE 8+ years of consulting experience likely in a senior management or director position. Experience in spearheading new business opportunities. Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities. Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models. Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role. Desired experience in programme execution, business analysis and change management - proven ability to shape, design, and manage the execution of data programmes. Experienced working in a multi-client environment that emphasises collaboration, and teamwork. Experienced in recruiting and developing teams. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 30, 2024
Full time
Management Consultant: Data Analytics Lead - Managing Principal (Senior Manager) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. THE ROLE We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of the data analytics capability, identifying business development opportunities on new and existing clients, and aiding the development of client proposals, and propositions. You will help to develop the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning.Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers voted us as the A-Team Best Consultancy in Data Management in 2021 and 2022, and value our ability to identify and develop top data talent. In addition to winning the Best Consultancy of the year 2022 in the British Banking Awards. AS A DATA ANALYTICS LEAD YOU WILL Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids. Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions. Build market networks and relationships, to enhance the market awareness of the UK Data Practice. Contribute to internally and externally facing innovation practice in your field Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders. SKILLS & EXPERTISE 8+ years of consulting experience likely in a senior management or director position. Experience in spearheading new business opportunities. Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities. Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models. Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role. Desired experience in programme execution, business analysis and change management - proven ability to shape, design, and manage the execution of data programmes. Experienced working in a multi-client environment that emphasises collaboration, and teamwork. Experienced in recruiting and developing teams. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
Apr 30, 2024
Full time
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin 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. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. 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. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. 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 Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "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. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Apr 30, 2024
Full time
About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin 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. Our Team Our Data Science and Machine Learning group at Viator consists of 12 experts who build and maintain the models that power our marketplace. We recruit top talent globally, providing them with the skills and tools they need for their growth. Our team is central to Viator, helping business service, product managers, engineers, and many others make informed decisions. We're also committed to enhancing our customers' search experiences, ensuring they are fast, relevant, and tailored to their preferences. About the opportunity We're seeking ambitious data scientists/ML scientists who are eager to join a top-tier machine learning team. You'll tackle real-world challenges like dynamic pricing, real-time customer intent predictions, sorting, and ranking, and processing unstructured data for personalised content. You'll not only be hands-on with building and managing models but also shape our long-term research goals. Your contributions will influence user experiences, shape product roadmaps, and pioneer models that benefit millions of customers and thousands of suppliers. You will work on Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. 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. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. 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 Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity. "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. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
PRINCIPAL MACHINE LEARNING ENGINEER SMART VEHICLE ANALYTICS PLATFORM £100,000-£150,000 + BENEFITS OVERVIEW Exciting opportunity to work for a very successful analytics start-up that have very strong financial backing and a strong client base. THE ROLE Building production-level machine learning models for a variety of clients. Solving complex commercial problems with innovative machine learning solutions. SKILLS AND EXPERTISE An MSc or Ph.D. in a quantitative discipline (e.g. Maths, Stats, Computer Science, Physics etc) Experience programming with production-level Python. Experience in building machine learning models and deploying them into production. A passion for seeing your work go into external products and having an impact. PACKAGE Extremely competitive salary and benefits package. HOW TO APPLY To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Cam Heald at Harnham. KEYWORDS Python, AWS, GCP, SQL, machine learning, full-stack, Data Scientist, Data Science, automobiles, cars, smart, product.
Sep 09, 2021
Full time
PRINCIPAL MACHINE LEARNING ENGINEER SMART VEHICLE ANALYTICS PLATFORM £100,000-£150,000 + BENEFITS OVERVIEW Exciting opportunity to work for a very successful analytics start-up that have very strong financial backing and a strong client base. THE ROLE Building production-level machine learning models for a variety of clients. Solving complex commercial problems with innovative machine learning solutions. SKILLS AND EXPERTISE An MSc or Ph.D. in a quantitative discipline (e.g. Maths, Stats, Computer Science, Physics etc) Experience programming with production-level Python. Experience in building machine learning models and deploying them into production. A passion for seeing your work go into external products and having an impact. PACKAGE Extremely competitive salary and benefits package. HOW TO APPLY To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Cam Heald at Harnham. KEYWORDS Python, AWS, GCP, SQL, machine learning, full-stack, Data Scientist, Data Science, automobiles, cars, smart, product.