25 of 25 Contract Retrieval-Augmented Generation Jobs in the UK

cloud technology. You'll take ownership of AI architecture and implementation, designing multi-agent workflows, retrieval-augmented generation (RAG) solutions and AI microservices. Working closely with architects and product teams, you'll turn business requirements into secure, reliable AI applications, with a focus … Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures and REST APIs Docker, Kubernetes and AI microservices MLOps ...

Generative AI technologies. Microsoft Copilot Studio, Power Automate, Azure Logic Apps or Azure Functions. Retrieval-Augmented Generation (RAG) and Azure AI Search. Microsoft 365 or SharePoint integrations. Experience delivering AI solutions within enterprise environments. ...

machine learning, Generative AI and prompt engineering. Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI evaluation approaches. Strong data analysis, visualisation and statistical modelling skills. Experience managing AI experimentation and model evaluation activities. Understanding of Responsible AI principles ...

automated resolution rates. Working knowledge of REST APIs, JSON payloads and integration troubleshooting. Understanding of Retrieval-Augmented Generation (RAG), knowledge base structure, content quality and AI grounding. Ability to work closely with business analysts to translate requirements into effective Intercom configurations. Confidence challenging unnecessary ...

tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge layer orchestration. Ensure AI solutions meet security, governance and compliance requirements … building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. AWS, Azure, GCP) and their AI/ML services. Exposure to knowledge management, knowledge graphs or advanced ...

Tableau or Power BI. Experience using GitHub Copilot or other AI-assisted software development tools. Exposure to agentic AI, workflow orchestration or retrieval-augmented generation. Key responsibilities Design and develop scalable data pipelines using Python, PySpark, Apache Kafka and Apache NiFi. Integrate vendor platforms and enterprise ...

decisions and mentoring other engineers. Desirable: Python, FastAPI, LangGraph, LangChain or similar AI frameworks. JSON-RPC, SSE, WebSockets and event-driven architectures. Experience with RAG, LLM function calling and context management. An interest in sport and the sports betting industry. Why Consider This Opportunity? This is an opportunity to take ...

MORELA AI & Engineering Recruitment Data Engineer (RAG & Retrieval) 2-year contract | Central London | Active SC | Outside IR35 Morela is supporting a specialist technology consultancy on a 2-year Data Engineer contract in Central London, delivering on a UK government programme. Outside IR35, rate TBC. We need a genuinely … strong all-round data engineer first and foremost, with recent hands-on RAG experience on top. Active SC is essential - eligibility will not be considered. About the Client A specialist technology consultancy embedding engineers into SC-cleared government delivery teams. They focus on long-term programme work and give their ...

deliver GenAI and Agentic AI products. The individual must have hands-on experience developing production-grade GenAI/Agentic AI solutions using LLMs, RAG and agentic workflow technologies. The role requires strong Python software engineering skills alongside practical experience designing reliable, secure and maintainable AI-enabled applications. Key responsibilities include … including prompt engineering, structured outputs, context management, model configuration and validation of model responses. RAG & Knowledge Retrieval: Design and implement Retrieval-Augmented Generation solutions, including document ingestion, parsing and chunking, embeddings, indexing, semantic/hybrid search, filtering, reranking and evidence grounding. ...

Inside IR35 Start: Mid October Contract - 6 Months Python AI Engineer required to develop production-grade Python services for Generative AI and complex RAG solutions. You will work across AI workflow orchestration, information retrieval, evidence processing, LLM integration, response generation and validation This role requires strong … production Python experience and practical experience delivering Generative AI and RAG solutions beyond proof of concept. Job Responsibilities/Objectives: Design, develop and maintain production-grade Python services for Generative AI and RAG solutions. Build and integrate LLM workflows using structured outputs, tool calling, schema validation and controlled fallbacks. Implement ...

major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies. You'll be working within a product squad, turning complex requirements into secure, scalable … state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding. AI Quality & Assurance: Implement ...

major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies. You'll be working within a product squad, turning complex requirements into secure, scalable … state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding. AI Quality & Assurance: Implement ...

Agentic AI applications using Python and LangGraph. Develop multi-step workflows involving state, routing, tool use and human review. Design end-to-end RAG pipelines covering ingestion, chunking, embeddings, indexing and retrieval. Build and integrate APIs and backend services. Evaluate LLM quality, grounding and hallucinations, implementing appropriate guardrails. Handle failures … clearance suitable for an MOD project. Strong production-grade Python software engineering. Hands-on GenAI, LLM and Agentic AI development. Strong LangGraph and RAG experience. Prompt engineering and structured LLM outputs. LLM/RAG evaluation, testing and hallucination mitigation. API and backend service integration. Automated testing, error handling and observability. ...

deliver GenAI and Agentic AI products. The individual must have hands-on experience developing production-grade GenAI/Agentic AI solutions using LLMs, RAG and agentic workflow technologies. The role requires strong Python software engineering skills alongside practical experience designing reliable, secure and maintainable AI-enabled applications. Skills required Strong … LangGraph Strong understanding of LLM workflow design, including state, routing, tools, structured outputs and human-in-the-loop patterns Practical experience designing and implementing RAG architectures Experience with document ingestion, chunking, embeddings and vector/semantic search Experience with prompt engineering and structured LLM outputs Experience with AI/ ...

autonomous action execution. Architect multi agent systems, orchestration patterns, and scalable AI microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish … Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable microservices. Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks. Experience ...

Senior Python AI Developer - Generative & Agentic AI Python | FastAPI | AWS | LLMs | RAG | Agentic AI | DevOps Salary: £60,000 - £75,000 Contract rate: c£475 per day Location: London - Hybrid (3 days per week onsite) Employment: Permanent or Contract | 2 positions We're recruiting two experienced Senior Python AI Developers … applications. The role Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore ...

SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls using Entra … Provide technical leadership and mentorship to a junior engineer. Essential Skills & Experience - MCP server development and AI agent tooling - Azure OpenAI, Azure AI Search, RAG and prompt engineering - SharePoint Online and Microsoft Graph API - Hybrid semantic/vector search - Enterprise API development and document processing - Azure (Functions and/ ...

solutions. Lead product discovery activities, business case development and value realisation initiatives. Drive prioritisation and delivery of AI use cases including Copilot, AI Agents, RAG, Knowledge Assistants and Intelligent Automation. Collaborate with Data Engineers, AI Engineers, Architects and business teams throughout the product lifecycle. Manage and refine the product backlog … product management practices. Desirable Skills Experience with Microsoft Copilot, GitHub Copilot and Azure AI Foundry. Knowledge of Databricks Mosaic AI and MLflow. Experience delivering RAG, AI Agent and Knowledge Assistant solutions. Background in Management Consulting or Digital Transformation. Experience working across Data Engineering, AI Engineering and Analytics teams. Exposure ...

Power Platform APIs, connectors, identity and permissions Enterprise data integration and governance You should also understand practical Generative AI concepts, including grounding, retrieval-augmented generation, prompt design, hallucination management and secure access to organisational data. Strong stakeholder-management and consulting skills are essential. ...

within complex organisations. - Proven track record in defining architecture and governance across multiple business domains. Technical Skills: - Strong understanding of enterprise search, retrieval-augmented generation, knowledge graphs, and permission-aware access. - Familiarity with Microsoft 365, Azure AI, and Responsible AI principles is desirable. Leadership ...

SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data controls. Build RAG pipelines, covering retrieval, chunking, embeddings, grounding and citations. Develop document ingestion and extraction pipelines across PDFs, Office documents, images and tables. Build evaluation frameworks … into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation and auditability. The ability to lead through technical expertise, explain trade-offs clearly ...

doing Building AI applications, copilots, agents and automated workflows Developing solutions using Azure OpenAI, Azure AI services and Copilot Studio Building RAG and enterprise search solutions using internal business data Connecting AI solutions into platforms such as Microsoft 365, SharePoint, Dataverse and other business systems Working with APIs, connectors … Microsoft ecosystem. Ideally, your background will include several of the following: Azure OpenAI Azure AI Foundry Copilot Studio Microsoft 365 Copilot Azure AI Search RAG/knowledge-grounded AI applications AI agents and agentic workflows Microsoft Fabric Power Platform Azure Functions/Logic Apps APIs and system integrations Python, C# ...

hands-on with customers, owning projects. Key Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer ...

AI Data & Semantic Engineer l London | 2 days in London a week | £580-£600 per day | Outside IR35 | 12-month contract We're looking for a hands-on AI Data & Semantic Engineer to help a ...

platforms. Identify opportunities to apply AI across alert triage, threat intelligence, incident investigation, detection engineering and reporting. Evaluate AI approaches, including Generative AI, LLMs, RAG and agentic AI. Conduct technical feasibility assessments and build-versus-buy analysis. Define AI integration patterns, security controls and human-in-the-loop requirements. Assess … architectural recommendations and a phased implementation roadmap. Essential Skills & Experience Strong experience in AI Solutions Architecture and technical design. Knowledge of Generative AI, LLMs, RAG and agentic AI. Understanding of cyber security operations and SOC environments. Experience with SIEM, SOAR, EDR/XDR and security tooling integrations. Knowledge of data ...