7 of 7 Permanent Retrieval-Augmented Generation Jobs in the North of England

responsible for designing, building, and deploying generative AI solutions across the business. This includes developing Retrieval-Augmented Generation (RAG) pipelines, integrating large language models (LLMs), and deploying services in a secure, scalable cloud environment. You'll work with one of the richest insurance datasets … are robust, compliant, and impactful to our customers and colleagues across the business. Skills and experience we're looking for: Strong experience in GenAI, RAG and Agentic architectures, including popular frameworks like LangChain and LiteLLM. Familiarity with DevOps and CI/CD pipelines, version control (Git), and infrastructure-as-code. More ❯

attention to detail. Interest or experience in generative AI, especially Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), preferably using Python. Familiarity with development tools (e.g., Git, Docker, VS Code) and technologies (e.g., REST APIs, JSON). Interview Process Initial telephone or Microsoft More ❯

Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction tuning, RAG architectures, or guardrail implementation. Collaborative Communicator : Able to bridge the gap between research and product, working across teams to translate ideas into features. Curious & Agile More ❯

unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented generation), and domain-specific applications. Working within a Data Mesh architecture, collaborating across domains to ensure scalable, interoperable data products More ❯

injection Bonus Points For Experience In: Transitioning POC applications to production-ready systems Performance monitoring and optimisation User research and service design Generative AI: RAG apps, vector DBs, LangChain AI ethics, bias mitigation, and responsible AI practices Who You Are A proactive problem-solver who enjoys team collaboration, values quality More ❯

and meet the team sometimes (in the North West if you fancy it) Who you are: You KNOW your AI and ML inside out RAG, LLMs, backend data flows? C... More ❯

and meet the team sometimes (in the North West if you fancy it) Who you are: You KNOW your AI and ML inside out RAG, LLMs, backend data flows? Check. You’ve built AI that actually moves the needle in real businesses (manufacturing, SaaS, industrial you get it) You’re More ❯