Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key Job Responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. Basic Qualifications 2+ years of data scientist experience and 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.). 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Preferred Qualifications PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools. 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. Posted: December 19, 2024 (Updated 6 days ago)
Jan 23, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key Job Responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. Basic Qualifications 2+ years of data scientist experience and 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.). 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Preferred Qualifications PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools. 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. Posted: December 19, 2024 (Updated 6 days ago)
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. 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. Posted: October 16, 2024 (Updated 1 day ago)
Jan 23, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. 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. Posted: October 16, 2024 (Updated 1 day ago)
Senior Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large-scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Posted: January 8, 2025 (Updated about 8 hours ago)
Jan 22, 2025
Full time
Senior Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large-scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Posted: January 8, 2025 (Updated about 8 hours ago)
Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large-scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). PhD or Master's degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. 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. Posted: October 16, 2024 (Updated 7 days ago)
Jan 22, 2025
Full time
Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large-scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). PhD or Master's degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. 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. Posted: October 16, 2024 (Updated 7 days ago)
Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key Job Responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A Day in the Life Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the Team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Minimum Requirements Multiple years design/implementation/consulting experience of distributed applications Multiple years management of technical, customer-facing resources Multiple years of hands-on experience with AI/ML or related technology domain Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Familiarity with common enterprise services and working knowledge of software development tools and methodologies AWS Solution Architecture certification or relevant cloud expertise. Demonstrated ability to adapt to new technologies and learn quickly. Computer Science/relevant degree and/or experience highly desired. 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.
Jan 22, 2025
Full time
Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key Job Responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A Day in the Life Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the Team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Minimum Requirements Multiple years design/implementation/consulting experience of distributed applications Multiple years management of technical, customer-facing resources Multiple years of hands-on experience with AI/ML or related technology domain Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Familiarity with common enterprise services and working knowledge of software development tools and methodologies AWS Solution Architecture certification or relevant cloud expertise. Demonstrated ability to adapt to new technologies and learn quickly. Computer Science/relevant degree and/or experience highly desired. 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.
We create cultural value and help brands navigate the ever-changing age of earned: an age where consumers actively say no to advertising; an age where everyone is an influencer that can make or break your brand; an age where content can be turned into commercial opportunity. Our talented team builds brands by finding connection points in the real world. We energise the right mix of talent, using the right platforms and latest technology to choreograph stories that make a real and meaningful impact for some of the world's leading brands and businesses e.g. HSBC, Ikea, Unilever and eBay to name a few. We earn affection, attention, affinity and purchase by delivering value to people around the world, with deep specialisms across food & drink, travel & tourism, consumer tech, consumer health, automotive, sports sponsorship, entertainment & lifestyle and energy. We are known for: Developing data driven insights and strategies to drive measurable impact Creating impactful creative campaigns that tap into culture Creating channel and platform agnostic campaigns that grow organically Delivering integrated campaigns that are earned-first but deliver for paid and owned What's Happening? Weber Shandwick is excited to be looking for a Data Scientist / Senior Data Scientist (LLM) to join our Analytics & Insights team. This is an opportunity to work with the EMEA team based in London. There is a huge opportunity to grow professionally whilst learning from some brilliant thinkers in how to apply analytics and data science in a business context. Working with various tools and methodologies, the Data Scientist will get first-hand exposure to clients, their business problems and acquire useful transferable skills both in the application of your analytics abilities and in presentation and people skills. The company also offers training opportunities tailored to your career goals and interests. In the Analytics & Insights team, we have diverse backgrounds and expertise, speak many languages and bring this variety together in the work we do as a team. We both have and get to have experience with clients both in the UK and globally, championing insight and analysis in decision-making to enable real business performance. What will you be doing? It really is never boring in our team. The type of analytics work we do covers: Statistical modelling and machine learning Data visualisation / Business intelligence Data pipelines and data warehouse Conversation analysis Audience insights / profiling Campaign reports On a day-to-day basis, our main aim is to identify patterns in data which will provide useful insights to our clients. We channel our positive attitude, critical thinking and analytical mind-sets to solve our client's problems, provide inputs into strategy and see opportunities not visible without data and insights. Depending on scope and requirements we work together or individually to identify insight from large datasets (using NLP, machine learning & Gen AI capabilities) and develop data science and analytics products aimed to solve our clients' business challenges, consolidate processes and revolutionise how we approach our work. Among other things, this role involves the development, integration, and scaling of AI, NLP and Gen AI technologies, as well as optimising data processes and working closely with the broader AI team. Keeping up-to-date with advancements in generative AI and machine learning is crucial. This is a hands-on role. What will you be doing? Design, create, and deploy Machine Learning models and applications aimed at addressing PR and earned media communication requirements. Assist the business in incorporating LLMs, NLP, and generative AI into current processes and workflows where applicable. Develop and maintain robust data pipelines and infrastructure to support ongoing and upcoming projects. Collaborate with both technical and non-technical teams to define, research, and implement solutions. Develop predictive model prototypes to solve a variety of business problems through natural language processing (NLP), natural language understanding (NLU), and recommendation engines Segment audiences using algorithms such as K-means, PCA or GMMs Apply your expertise in data analysis to extract key findings from large datasets and present results beyond the numbers, also using tools like Tableau and Looker Who are you? Skills Needed The preferred candidate will have hands-on experience with large language models (LLMs), including their application in natural language processing systems throughout the development and deployment stages. A deep familiarity with current research and trends in LLMs is advantageous. Strong mathematical, statistical or data science background Proficient in Python & SQL and ability to write clean production code Experience in building datasets, selecting and engineering features, building and optimising algorithms, machine learning in production Experience developing and deploying machine learning models, preferably with LLMs, NLP or GenAI experience Experience in some of the following domains: Deep Learning, Learn-to-Rank, Recommender Systems, Regression, Classification, Clustering Extensive Experience with ML frameworks such as PyTorch, TensorFlow, Keras, scikit-learn and Spark Mllib Experience deploying to cloud systems (AWS, GCP) Strong ability to communicate with technical and non-technical audiences Someone who enjoys a fast-paced environment and has the ability to work both independently and within a team Experience in A/B hypothesis testing (confidence intervals and p-values, linear regression to generalised additive models, time series) Knowledge of Spark, Hadoop or similar platform Experience with CI/CD including Git, Docker Experience with data visualisation platforms like Tableau, Power BI, Looker Studio, etc. Experience with front-end visualisation platforms like Streamlit, Dash, Flask Core Benefits: Private medical insurance Group life assurance Group income protection Employee Assistance Programme Buy or sell holiday Additional life assurance cover Critical illness insurance Travel Insurance Health screening Cycle to work scheme Health cash plan Flexible working with our 3:2 hybrid work model Equivalent of $250 USD for new joiners on 6 month + contract to support home working setup 25 days' annual leave (in addition to public holidays) plus 2 volunteering days, birthday day off work and festive period off Flexible public holidays (from 2023) Sweets and snacks in the office Exclusive shopping discounts and perks Headspace membership Season ticket loan Long service bonus Enhanced family leave Inclusive and invisible health policies We appreciate the time taken to apply for the role and your recent interest in Weber Shandwick. We will review all applications within five working days and be in touch with those who have been shortlisted to the next stage. Unfortunately, due to volume we are not able to get back to everyone individually so if you have not heard back from us unfortunately you have not been successful on this occasion and wish you all the best in your search. At IPG we are proud to be a Disability Confident Employer. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Jan 22, 2025
Full time
We create cultural value and help brands navigate the ever-changing age of earned: an age where consumers actively say no to advertising; an age where everyone is an influencer that can make or break your brand; an age where content can be turned into commercial opportunity. Our talented team builds brands by finding connection points in the real world. We energise the right mix of talent, using the right platforms and latest technology to choreograph stories that make a real and meaningful impact for some of the world's leading brands and businesses e.g. HSBC, Ikea, Unilever and eBay to name a few. We earn affection, attention, affinity and purchase by delivering value to people around the world, with deep specialisms across food & drink, travel & tourism, consumer tech, consumer health, automotive, sports sponsorship, entertainment & lifestyle and energy. We are known for: Developing data driven insights and strategies to drive measurable impact Creating impactful creative campaigns that tap into culture Creating channel and platform agnostic campaigns that grow organically Delivering integrated campaigns that are earned-first but deliver for paid and owned What's Happening? Weber Shandwick is excited to be looking for a Data Scientist / Senior Data Scientist (LLM) to join our Analytics & Insights team. This is an opportunity to work with the EMEA team based in London. There is a huge opportunity to grow professionally whilst learning from some brilliant thinkers in how to apply analytics and data science in a business context. Working with various tools and methodologies, the Data Scientist will get first-hand exposure to clients, their business problems and acquire useful transferable skills both in the application of your analytics abilities and in presentation and people skills. The company also offers training opportunities tailored to your career goals and interests. In the Analytics & Insights team, we have diverse backgrounds and expertise, speak many languages and bring this variety together in the work we do as a team. We both have and get to have experience with clients both in the UK and globally, championing insight and analysis in decision-making to enable real business performance. What will you be doing? It really is never boring in our team. The type of analytics work we do covers: Statistical modelling and machine learning Data visualisation / Business intelligence Data pipelines and data warehouse Conversation analysis Audience insights / profiling Campaign reports On a day-to-day basis, our main aim is to identify patterns in data which will provide useful insights to our clients. We channel our positive attitude, critical thinking and analytical mind-sets to solve our client's problems, provide inputs into strategy and see opportunities not visible without data and insights. Depending on scope and requirements we work together or individually to identify insight from large datasets (using NLP, machine learning & Gen AI capabilities) and develop data science and analytics products aimed to solve our clients' business challenges, consolidate processes and revolutionise how we approach our work. Among other things, this role involves the development, integration, and scaling of AI, NLP and Gen AI technologies, as well as optimising data processes and working closely with the broader AI team. Keeping up-to-date with advancements in generative AI and machine learning is crucial. This is a hands-on role. What will you be doing? Design, create, and deploy Machine Learning models and applications aimed at addressing PR and earned media communication requirements. Assist the business in incorporating LLMs, NLP, and generative AI into current processes and workflows where applicable. Develop and maintain robust data pipelines and infrastructure to support ongoing and upcoming projects. Collaborate with both technical and non-technical teams to define, research, and implement solutions. Develop predictive model prototypes to solve a variety of business problems through natural language processing (NLP), natural language understanding (NLU), and recommendation engines Segment audiences using algorithms such as K-means, PCA or GMMs Apply your expertise in data analysis to extract key findings from large datasets and present results beyond the numbers, also using tools like Tableau and Looker Who are you? Skills Needed The preferred candidate will have hands-on experience with large language models (LLMs), including their application in natural language processing systems throughout the development and deployment stages. A deep familiarity with current research and trends in LLMs is advantageous. Strong mathematical, statistical or data science background Proficient in Python & SQL and ability to write clean production code Experience in building datasets, selecting and engineering features, building and optimising algorithms, machine learning in production Experience developing and deploying machine learning models, preferably with LLMs, NLP or GenAI experience Experience in some of the following domains: Deep Learning, Learn-to-Rank, Recommender Systems, Regression, Classification, Clustering Extensive Experience with ML frameworks such as PyTorch, TensorFlow, Keras, scikit-learn and Spark Mllib Experience deploying to cloud systems (AWS, GCP) Strong ability to communicate with technical and non-technical audiences Someone who enjoys a fast-paced environment and has the ability to work both independently and within a team Experience in A/B hypothesis testing (confidence intervals and p-values, linear regression to generalised additive models, time series) Knowledge of Spark, Hadoop or similar platform Experience with CI/CD including Git, Docker Experience with data visualisation platforms like Tableau, Power BI, Looker Studio, etc. Experience with front-end visualisation platforms like Streamlit, Dash, Flask Core Benefits: Private medical insurance Group life assurance Group income protection Employee Assistance Programme Buy or sell holiday Additional life assurance cover Critical illness insurance Travel Insurance Health screening Cycle to work scheme Health cash plan Flexible working with our 3:2 hybrid work model Equivalent of $250 USD for new joiners on 6 month + contract to support home working setup 25 days' annual leave (in addition to public holidays) plus 2 volunteering days, birthday day off work and festive period off Flexible public holidays (from 2023) Sweets and snacks in the office Exclusive shopping discounts and perks Headspace membership Season ticket loan Long service bonus Enhanced family leave Inclusive and invisible health policies We appreciate the time taken to apply for the role and your recent interest in Weber Shandwick. We will review all applications within five working days and be in touch with those who have been shortlisted to the next stage. Unfortunately, due to volume we are not able to get back to everyone individually so if you have not heard back from us unfortunately you have not been successful on this occasion and wish you all the best in your search. At IPG we are proud to be a Disability Confident Employer. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Jan 22, 2025
Full time
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
You will need to login before you can apply for a job. Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities nd how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . BASIC QUALIFICATIONS - Multiple years design/implementation/consulting experience of distributed applications - Multiple years management of technical, customer facing resources - Multiple years of hands-on experience with AI/ML or related technology domain - Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies - Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. - Experience migrating or transforming legacy customer solutions to the cloud. - Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. - Familiarity with common enterprise services and working knowledge of software development tools and methodologies - AWS Solution Architecture certification or relevant cloud expertise. - Demonstrated ability to adapt to new technologies and learn quickly. - Computer Science /relevant degree and/or experience highly desired. 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. For individuals with disabilities who would like to request an accommodation, please visit Visit this company's hub to learn about their values, culture, and latest jobs. Create a job alert and receive personalised job recommendations straight to your inbox.
Jan 22, 2025
Full time
You will need to login before you can apply for a job. Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities nd how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . BASIC QUALIFICATIONS - Multiple years design/implementation/consulting experience of distributed applications - Multiple years management of technical, customer facing resources - Multiple years of hands-on experience with AI/ML or related technology domain - Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies - Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. - Experience migrating or transforming legacy customer solutions to the cloud. - Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. - Familiarity with common enterprise services and working knowledge of software development tools and methodologies - AWS Solution Architecture certification or relevant cloud expertise. - Demonstrated ability to adapt to new technologies and learn quickly. - Computer Science /relevant degree and/or experience highly desired. 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. For individuals with disabilities who would like to request an accommodation, please visit Visit this company's hub to learn about their values, culture, and latest jobs. Create a job alert and receive personalised job recommendations straight to your inbox.
Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallet labels. Crypto investors use Nansen to discover opportunities, perform due diligence, and defend their portfolios with our real-time dashboards and alerts. The successful candidate will preferably be located in the EMEA or APAC timezone. The Opportunity: Nansen is leveling up its strategic capabilities in Artificial Intelligence (AI) and Machine Learning (ML). We are actively seeking a highly skilled and motivated Senior AI/ML Engineer to join our team. In this role, you will develop and monitor AI models to analyze vast amounts of blockchain data, identifying patterns and insights that drive decision-making for crypto investors. Your contributions will be key to advancing Nansen's mission of surfacing the signal and creating winners in the future of finance. As a Senior AI/ML Engineer at Nansen, you will play a crucial part in enhancing our platform's capabilities, enabling us to offer a cutting-edge product to our users. Your expertise will not only influence the direction of our technology but also solidify Nansen's position as a leader in blockchain analytics. Key Responsibilities: Lead the design, implementation, and use of AI/ML models to process and analyze blockchain data, ensuring high performance and scalability. Collaborate with product managers and engineers to integrate AI/ML models into Nansen's platform, enhancing its analytical capabilities and improving user experience. Stay abreast of the latest developments in AI/ML and blockchain technologies, applying innovative approaches to solve complex challenges. Mentor junior engineers and promote best practices in AI/ML development across the team. Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs. Requirements: Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful AI/ML projects. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs) An ability to work full-stack with data; some data engineering experience is a big plus Strong analytical skills and the ability to work with large, complex data sets. Excellent communication skills, with the ability to collaborate effectively in a remote work environment across multiple time zones. A passion for blockchain, crypto, and Web3 technologies. What We Offer: Competitive salary and generous equity. Remote work environment with a flexible schedule. A team that values data and AI; our founders are data engineers and data scientists The opportunity to work from our Tech Hubs (flight & accommodation paid for) in Singapore, London, Bangkok, & Lisbon. A company culture that values transparency, speed, courage, and curiosity. Opportunities for personal and professional growth as the company scales. Exposure to a global network of industry experts, partners, and influencers.
Jan 22, 2025
Full time
Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallet labels. Crypto investors use Nansen to discover opportunities, perform due diligence, and defend their portfolios with our real-time dashboards and alerts. The successful candidate will preferably be located in the EMEA or APAC timezone. The Opportunity: Nansen is leveling up its strategic capabilities in Artificial Intelligence (AI) and Machine Learning (ML). We are actively seeking a highly skilled and motivated Senior AI/ML Engineer to join our team. In this role, you will develop and monitor AI models to analyze vast amounts of blockchain data, identifying patterns and insights that drive decision-making for crypto investors. Your contributions will be key to advancing Nansen's mission of surfacing the signal and creating winners in the future of finance. As a Senior AI/ML Engineer at Nansen, you will play a crucial part in enhancing our platform's capabilities, enabling us to offer a cutting-edge product to our users. Your expertise will not only influence the direction of our technology but also solidify Nansen's position as a leader in blockchain analytics. Key Responsibilities: Lead the design, implementation, and use of AI/ML models to process and analyze blockchain data, ensuring high performance and scalability. Collaborate with product managers and engineers to integrate AI/ML models into Nansen's platform, enhancing its analytical capabilities and improving user experience. Stay abreast of the latest developments in AI/ML and blockchain technologies, applying innovative approaches to solve complex challenges. Mentor junior engineers and promote best practices in AI/ML development across the team. Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs. Requirements: Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful AI/ML projects. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs) An ability to work full-stack with data; some data engineering experience is a big plus Strong analytical skills and the ability to work with large, complex data sets. Excellent communication skills, with the ability to collaborate effectively in a remote work environment across multiple time zones. A passion for blockchain, crypto, and Web3 technologies. What We Offer: Competitive salary and generous equity. Remote work environment with a flexible schedule. A team that values data and AI; our founders are data engineers and data scientists The opportunity to work from our Tech Hubs (flight & accommodation paid for) in Singapore, London, Bangkok, & Lisbon. A company culture that values transparency, speed, courage, and curiosity. Opportunities for personal and professional growth as the company scales. Exposure to a global network of industry experts, partners, and influencers.
Come and change the world of AI with the Kumo team! Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning is slow and time consuming, taking months to perform feature engineering, build training pipelines, and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches. As a Data Scientist for EMEA, you will be a technical liaison for Kumo's customers and prospects in the EMEA region. Your objective is to discover the technical needs of customers and showcase how Kumo can address them (or explain why you think it won't). With this information, you will craft and tell a story of how Kumo can deliver value to their organization. Together with the customer and Account Manager, you will put together a plan to solve the customer's machine learning problems using Kumo. You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins. You will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases. This is a fantastic opportunity for someone with deep expertise in machine learning and a passion for data science to grow into a confident leader within a dynamic and innovative environment. The Value You Will Add: Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads. Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap. Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs. Generate Kumo platform educational materials to disseminate amongst current users or prospects. Your Foundation: Someone who finds genuine satisfaction in solving customer ML problems and helping them deliver value to the business. 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production for customers. Proficiency with ML and data science fundamentals, at the level of a bachelor's/graduate program. Persuasive communication - ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo! Self-starter, motivated, resourceful and persistent: demonstrated ability to structure complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles. Knowledge of common data science tools around SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), workflow orchestration, and ML Ops. Excellent spoken and written English skills. Fluency with scripting in Python. Ability to work effectively across time zones. Teammates will be located from PT to CET time zones. Customers will be in GMT/CET, while occasionally as far as SGT. Benefits: Stock Competitive Salaries Medical Insurance Dental Insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Jan 22, 2025
Full time
Come and change the world of AI with the Kumo team! Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning is slow and time consuming, taking months to perform feature engineering, build training pipelines, and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches. As a Data Scientist for EMEA, you will be a technical liaison for Kumo's customers and prospects in the EMEA region. Your objective is to discover the technical needs of customers and showcase how Kumo can address them (or explain why you think it won't). With this information, you will craft and tell a story of how Kumo can deliver value to their organization. Together with the customer and Account Manager, you will put together a plan to solve the customer's machine learning problems using Kumo. You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins. You will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases. This is a fantastic opportunity for someone with deep expertise in machine learning and a passion for data science to grow into a confident leader within a dynamic and innovative environment. The Value You Will Add: Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads. Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap. Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs. Generate Kumo platform educational materials to disseminate amongst current users or prospects. Your Foundation: Someone who finds genuine satisfaction in solving customer ML problems and helping them deliver value to the business. 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production for customers. Proficiency with ML and data science fundamentals, at the level of a bachelor's/graduate program. Persuasive communication - ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo! Self-starter, motivated, resourceful and persistent: demonstrated ability to structure complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles. Knowledge of common data science tools around SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), workflow orchestration, and ML Ops. Excellent spoken and written English skills. Fluency with scripting in Python. Ability to work effectively across time zones. Teammates will be located from PT to CET time zones. Customers will be in GMT/CET, while occasionally as far as SGT. Benefits: Stock Competitive Salaries Medical Insurance Dental Insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. BASIC QUALIFICATIONS Experience design/implementation/consulting experience of distributed applications. Management of technical, customer facing resources. Experience with AI/ML or related technology domain. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired. 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.
Jan 22, 2025
Full time
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. BASIC QUALIFICATIONS Experience design/implementation/consulting experience of distributed applications. Management of technical, customer facing resources. Experience with AI/ML or related technology domain. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services and working knowledge of software development tools and methodologies. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired. 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.
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities The primary responsibilities of this role are to: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. Interact with customers directly to understand their business problems, and lead them by prescriptively defining and implementing scalable Generative AI solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to design architectures and applications, drive model implementations, and guide new solution deployment. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience in software development with object-oriented language. Experience in cloud-based solution (AWS or equivalent), system, network and operating system. Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences). PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. 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. Posted: October 17, 2024 (Updated 3 days ago)
Jan 20, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities The primary responsibilities of this role are to: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. Interact with customers directly to understand their business problems, and lead them by prescriptively defining and implementing scalable Generative AI solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to design architectures and applications, drive model implementations, and guide new solution deployment. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience in software development with object-oriented language. Experience in cloud-based solution (AWS or equivalent), system, network and operating system. Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences). PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. 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. Posted: October 17, 2024 (Updated 3 days ago)
About Fresha Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide . Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date . The company is headquartered in London, United Kingdom , with 12 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions. Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google. Role overview Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform. Your expertise will guide us in growing our revenue, making us more profitable, keeping us compliant, raising capital and identifying commercial opportunities across the business. Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product and workflows Prioritise your roadmap for maximum impact across different functions Mentor and coach an existing team of junior data scientists Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life You'll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed. Key skills Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects. Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models. Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions. Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
Jan 18, 2025
Full time
About Fresha Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide . Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date . The company is headquartered in London, United Kingdom , with 12 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions. Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google. Role overview Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform. Your expertise will guide us in growing our revenue, making us more profitable, keeping us compliant, raising capital and identifying commercial opportunities across the business. Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product and workflows Prioritise your roadmap for maximum impact across different functions Mentor and coach an existing team of junior data scientists Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life You'll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed. Key skills Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects. Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models. Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions. Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
Applied ScientistJob ID: AWS EMEA SARL (UK Branch)Job summary Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, how to reach net zero carbon by 2040). Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others. We are looking for a Machine Learning (Applied) Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or anomaly detection. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.BASIC QUALIFICATIONS PhD in Computer Science, AI, Mathematics, or Statistics with specialization in ML (alternatively, MSc. and 3+ years in a ML scientist role). Deep knowledge of fundamentals, and the state-of-the art, in relevant areas of ML. 3+ years of hands-on experience in ML research and ML systems. Strong coding skills in Python. Strong verbal and written communication skills. PREFERRED QUALIFICATIONS 2+ years of experience, and strong expertise, in any of: Probabilistic Machine Learning, time series forecasting, anomaly detection models. Experience with cloud computing services such as AWS. Experience with programming languages such as Java, Scala, and/or others. Experience working effectively with research science, data engineering, and software engineering teams. Proven track record of innovation in creating novel algorithms and applying the state-of the-art. Strong publication/scientific track record. 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: ).
Sep 23, 2022
Full time
Applied ScientistJob ID: AWS EMEA SARL (UK Branch)Job summary Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, how to reach net zero carbon by 2040). Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience - from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others. We are looking for a Machine Learning (Applied) Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or anomaly detection. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.BASIC QUALIFICATIONS PhD in Computer Science, AI, Mathematics, or Statistics with specialization in ML (alternatively, MSc. and 3+ years in a ML scientist role). Deep knowledge of fundamentals, and the state-of-the art, in relevant areas of ML. 3+ years of hands-on experience in ML research and ML systems. Strong coding skills in Python. Strong verbal and written communication skills. PREFERRED QUALIFICATIONS 2+ years of experience, and strong expertise, in any of: Probabilistic Machine Learning, time series forecasting, anomaly detection models. Experience with cloud computing services such as AWS. Experience with programming languages such as Java, Scala, and/or others. Experience working effectively with research science, data engineering, and software engineering teams. Proven track record of innovation in creating novel algorithms and applying the state-of the-art. Strong publication/scientific track record. 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: ).
