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

Amazon; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading tech company in the UK is seeking a talented individual to work at the Generative AI Innovation Center. You will collaborate with customers to design and implement cutting-edge generative AI algorithms and convert business challenges into solutions. Ideal candidates should have experience in data scripting, algorithms, and a strong educational background in a quantitative field. This is an opportunity to make a significant impact in a fast-paced environment.

Qualifications

• Experience delivering customer engagements in a professional services role.
• Experience researching machine learning, NLP, and data science.

Responsibilities

• Collaborate with ML scientists and architects to develop generative AI algorithms.
• Directly interact with customers to understand and implement generative AI solutions.
• Provide recommendations, tutorials, and presentations for stakeholders.
• Gather customer feedback to guide product development.

Skills

Experience with data scripting languages (SQL, Python, R)

Algorithms and data structures

Data mining

Machine learning and deep learning

Education

Bachelor's degree and 8 years of experience or Master’s degree and 4 years of experience

Tools

AWS services (Amazon Bedrock, Amazon SageMaker)

Job description

Description

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.

Key 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.

Basic 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 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.

Preferred Qualifications

• Masters 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.

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