Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Amazon Jobs; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading cloud computing company in London seeks a professional to collaborate on innovative generative AI solutions. You will interact with clients to address business challenges, optimize their experience, and help adopt advanced AI technologies. The role requires strong expertise in data scripting, ML algorithms, and AWS services. Join us to contribute to pioneering projects transforming the industry.

Benefits

Flexible work-life balance

Diversity and inclusion initiatives

Mentorship and career growth programs

Qualifications

• Experience delivering customer engagements in a professional services role.
• Experience in designing, developing, and optimizing prompts for LLMs.
• Experience building generative AI applications on AWS.

Responsibilities

• Collaborate with ML scientists and architects on generative AI algorithms.
• Interact with customers to solve business problems using generative AI.
• Provide customer feedback to Product and Engineering teams.

Skills

Data scripting languages (e.g., SQL, Python, R)

Algorithms and data structures

Machine learning, deep learning, NLP, computer vision

High-performance computing

Education

Bachelor’s degree and 8 years of experience

Master's or PhD degree in relevant field

Tools

Amazon Bedrock

Amazon SageMaker

LangChain

LlamaIndex

Job description

Key job responsibilities

• Collaborate with ML scientist 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 implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer 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 stakeholder.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.

A day in the life

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.

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.

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.

Qualifications

• 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
• Experience in delivering customer engagements in a professional services role.
• Experience researching about machine learning, deep learning, NLP, computer vision, data science.
• Bachelor’s degree and 8 years of experience or Master’s degree and 4 years of experience.
• Master's or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
• Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches.
• Experience with design, development, and optimization of high‑quality prompts and templates that guide the behavior and responses of LLMs.
• Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools.

Amazon is an equal opportunity 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.