> Markdown version of [/jobs/ext/335132-principal-data-scientist-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/335132-principal-data-scientist-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist/ AI-ML Engineer - **Company:** Intuitive - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Graph Database, Machine Learning, Test Case, Management of Software Versions, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Machine Learning Operations - **Published:** June 5, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/38268455/ ## About the Role Skills:* Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) - Level 5 (Authority)* RAG Architecture & Prompt Engineering - Level 5 (Authority)* Amazon SageMaker (MLOps, Pipelines, Evaluation) - Level 4 (Advanced)* Agent Frameworks (Strands SDK, MCP, AgentCore) - Level 4 (Advanced)* AI Security (Guardrails, PII redaction, IP protection) - Level 3 (Adva ## Description Description:Design and implement the AI/ML architecture and GenAI capabilities for our platform. Build RAG pipelines grounded in the Knowledge Graph. Develop and optimize prompts for specification authoring, test case generation, and impact analysis agents. Implement MLOps practices for model evaluation, versioning, and deployment. Design AI security controls including IP protection, grounding checks, and guardrails. Integrate Amazon Bedrock (Claude models), Knowledge Bases, and AgentCore Runtime into production workflo ## Related Videos - [AIQSpecFlow: Improves and automates your agile process of specification and creation of testcases.](https://www.wearedevelopers.com/videos/100084-aiqspecflow-improves-and-automates-your-agile-process-of-specification-and-creation-of-testcases) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)