Data Scientist

Amazon.com, Inc; Hatton; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading technology company is seeking an experienced AI/ML Professional to collaborate on generative AI solutions. The role requires a PhD or Master's degree with significant applied research experience and deep Python knowledge. Candidates should possess expertise in algorithms and generative AI technologies, having previously built applications on AWS platforms like Amazon SageMaker. This position emphasizes direct customer interaction and contributes to innovative projects, making it ideal for those passionate about AI advancements.

Qualifications

• PhD, or Master's degree and 6+ years of applied research experience.
• 5+ years of hands-on experience with Python to build, train, and evaluate models.
• Experience with optimization of models on GPUs and experience with open-source frameworks.

Responsibilities

• Collaborate with AI/ML scientists to develop generative AI solutions.
• Interact with customers to understand and implement generative AI solutions.
• Provide customer and market feedback to product and engineering teams.

Skills

Applied research

Python

Algorithms and data structures

Generative AI solutions

Open-source frameworks

Education

PhD or Master's degree

Tools

Amazon Bedrock

Amazon SageMaker

Job description

Responsibilities

• Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities.
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right‑sizing, distillation, and hardware optimization.
• Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience.
• Provide customer and market feedback to product and engineering teams to help define product direction.
• Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements; design, implement, and manage AWS solutions that meet their technical needs.

Qualifications

• PhD, or Master's degree and 6+ years of applied research experience.
• 5+ years of hands‑on experience with Python to build, train, and evaluate models.
• 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.
• 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.
• Experience in patents or publications at peer‑reviewed conferences or journals, and experience working in a startup or with startup customers.
• Experience with design, deployment, and evaluation of Large Language Model (LLM)‑powered agents and tools and orchestration approaches.
• Hands‑on experience with model customization techniques such as fine‑tuning, continued pre‑training, and LLM‑as‑judge evaluation.
• Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, and experience with open‑source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools.
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.

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.

The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. We provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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.

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, mentorship, career growth, and work/life balance are integral parts of our environment, supporting our commitment to become Earth's Best Employer.