9 of 9 Retrieval-Augmented Generation Jobs in the East of England

of the experience listed below, please apply. Your Impact at Lila We are seeking a Senior Backend Engineer to join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize backend systems that power intelligent, data-driven applications. You will focus on creating high-performance APIs … maintainability. Bonus Points For Hands-On with Latest AI Tools: Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks, as well as experience leveraging AI to improve development performance. Scientific or Data-Intensive Domains: Experience working with life sciences, material sciences, or other research-heavy fields. More ❯

ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) . Experience with automated testing and validation of AI outputs. More ❯

personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

security practices including OWASP Top 10 and penetration testing . Familiarity with AI/ML systems , including LLM evaluation techniques, output scoring, and validation frameworks. Understanding of prompt engineering , RAG , model orchestration , and hallucination detection . Awareness of ethical AI , bias detection, explainability, and regulatory compliance. Proven ability to work in Agile teams , solve complex problems, and mentor junior team More ❯

complex reasoning and workflows. Technical Leadership: Serve as the deep technical expert on the platform for both clients and internal teams. Provide guidance on best practices for data integration, RAG implementation, and agentic automation. Proof of Concept & Prototyping: Lead the technical design and development of Proof of Concept (PoC) projects to demonstrate the feasibility and value of our solutions for … event-driven architecture, and MCP-first design principles. AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate). Data Integration: Hands-on experience designing data pipelines and integrating with diverse enterprise data sources (e.g., relational databases More ❯

SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of More ❯

delivering full stack applications (React JS frontend, python backend, AWS cloud infrastructure). A successful candidate will also have a good understanding of Gen AI (e.g. building and scaling RAG systems). The project scope consists of delivering reusable AI components (RAG, text 2 SQL, text 2 cypher) aiming at expediting the delivery of Gen AI applications. Must To Have More ❯

next-generation applications. What you'll work on Designing and scaling cloud-native services on Azure Building secure, developer-friendly APIs & SDKs Working hands-on with LLMs, RAG, and AI orchestration tools Deploying and training AI models in real-world environments Collaborating with a cross-functional team in a start-up style setup What you'll bring Strong More ❯