11 of 11 Retrieval-Augmented Generation Jobs in the East of England

candidates with experience adding AI capabilities to softwareparticularly those familiar with concepts such as generative AI, large language models (LLMs), retrieval-augmented generation (RAG), and model context protocols (MCP). We love to hear from people whove created or contributed to open source projects (e.g. on GitHub ). More ❯

with experience adding AI capabilities to software—particularly those familiar with concepts such as generative AI, large language models (LLMs), retrieval-augmented generation (RAG), and model context protocols (MCP). We love to hear from people who’ve created or contributed to open source projects (e.g. on GitHub ). That’s just to give More ❯

with experience adding AI capabilities to software—particularly those familiar with concepts such as generative AI, large language models (LLMs), retrieval-augmented generation (RAG), and model context protocols (MCP). We love to hear from people who’ve created or contributed to open source projects (e.g. on GitHub ). That’s just to give More ❯

Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding 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 ❯

hands-on experience in API design and cloud architecture (Azure). Experience with Excel add-ins or Office JavaScript APIs is highly desirable. Exposure to vectorization, RAG (Retrieval-Augmented Generation), or AI-driven data handling frameworks is a big plus. Bonus: Background or interest in commercial real estate technology. Self-starter with excellent communication More ❯

hands-on experience in API design and cloud architecture (Azure). Experience with Excel add-ins or Office JavaScript APIs is highly desirable. Exposure to vectorization, RAG (Retrieval-Augmented Generation), or AI-driven data handling frameworks is a big plus. Bonus: Background or interest in commercial real estate technology. Self-starter with excellent communication More ❯

Collaborate with enterprise clients to understand business processes, pain points, data landscapes, and strategic goals. Solution Architecture: Design end-to-end solutions leveraging our platform capabilities (e.g. Knowledge Hubs, RAG, LLMs). Create technical specs, data flow diagrams, and architecture documents. MCP & Ontology Design: Define intelligent workflows by designing ontologies and structuring Model Context Protocols (MCPs) to automate reasoning and … decision-making. Technical Leadership: Be the go-to expert for both clients and internal teams on platform architecture, RAG, agentic automation, and best practices. Proof of Concept: Lead the design and execution of PoCs to demonstrate feasibility and value. Cross-functional Collaboration: Partner with Engineering and Product teams to align solution design with platform capabilities and product roadmap. Implementation Oversight … Senior Engineer). 3+ years in a client-facing, consultative role. Deep knowledge of microservices, distributed systems, and event-driven architectures. Strong foundation in AI/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly More ❯

Collaborate with enterprise clients to understand business processes, pain points, data landscapes, and strategic goals. Solution Architecture: Design end-to-end solutions leveraging our platform capabilities (e.g. Knowledge Hubs, RAG, LLMs). Create technical specs, data flow diagrams, and architecture documents. MCP & Ontology Design: Define intelligent workflows by designing ontologies and structuring Model Context Protocols (MCPs) to automate reasoning and … decision-making. Technical Leadership: Be the go-to expert for both clients and internal teams on platform architecture, RAG, agentic automation, and best practices. Proof of Concept: Lead the design and execution of PoCs to demonstrate feasibility and value. Cross-functional Collaboration: Partner with Engineering and Product teams to align solution design with platform capabilities and product roadmap. Implementation Oversight … Senior Engineer). 3+ years in a client-facing, consultative role. Deep knowledge of microservices, distributed systems, and event-driven architectures. Strong foundation in AI/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly More ❯

ERP Consultant - Senior Test Engineer, software testing, QA, Quality Assurance, .NET, Azure DevOps, CI/CD pipeline, API testing, Security testing, RAG, Model orchestration, hallucination detection, NIST AI RMF, EU AI Act, security validation, threat modelling, Microsoft Azure, £450 - £500 Inside IR35, Contract, On-site, CambridgeIncrease your chances of an interview by reading the following overview of this role before … junior team members, fostering a culture of continuous learning and innovation. Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations. Defining performance metrics for AI services and testing against them. Awareness More ❯

AI Product Manager (RAG experience essential) - £650 per day - Outside IR35 Are you excited by the challenge of turning cutting-edge AI into real, working products? We’re looking for an experienced Product Manager to help define, deliver, and scale AI Minimum Viable Products (MVPs) for a major enterprise client - applying RAG, LLMs, and generative AI to automate workflows, enhance … high-value AI opportunities and shape product roadmaps. Translate requirements into actionable user stories and acceptance criteria for engineering and data teams. Collaborate closely with teams building solutions using RAG pipelines, LLMs, embeddings, and API integrations. Define and track KPIs such as accuracy, latency, adoption, and ROI — iterating based on real-world feedback. Ensure all solutions meet enterprise-level standards … About You Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search, embeddings, APIs, data pipelines, and prompt design. Skilled in navigating complex enterprise settings and managing senior stakeholders. Pragmatic and delivery More ❯