26 to 50 of 136 Retrieval-Augmented Generation Jobs in England

Experience across several of the following areas would be advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure … Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience … Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data ...

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 ...

solutions. You will help clients translate business challenges into scalable AI architectures, leveraging Agentic AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and modern cloud technologies. The places that you work from day to day will vary according to your role, your needs … home 100% of the time. Your Role Design and develop enterprise AI solutions, with a particular focus on Agentic AI, Generative AI, and RAG architectures. Work with clients to understand business requirements and translate them into scalable technical solution designs. Build, integrate, and optimize AI applications using Python and leading ...

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 ...

ability to influence without line authority, including winning over sceptics Helpful: Bitbucket, Jenkins/Harness, Docker, Kubernetes, AWS, FastAPI, MCP, DORA-style measurement, RAG and vector search, self-hosted open-weight models, or a regulated environment such as gambling or financial services Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio ...

track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms ...

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 ...

Actions, Azure DevOps, RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. … React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

design and development of AI, Machine Learning, and Generative AI solutions. Drive the adoption of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI approaches. Define evaluation frameworks, testing strategies, and model performance standards. Act as the technical authority for scientific decisions … What We're Looking For Significant hands-on experience in AI, Machine Learning, and Data Science. Deep expertise with LLMs, Generative AI, Prompt Engineering, RAG, and Agentic Systems. Strong Python programming skills and experience with modern AI frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

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 ...

monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality ...

frameworks, risk assessments, policies and controls. Practical understanding of how AI systems are built and secured. Good understanding of LLMs and agentic AI, including RAG, tool use and orchestration. Knowledge of AI security risks including prompt injection, data leakage and excessive agency. Strong understanding of relevant AI regulation and frameworks ...

frameworks, risk assessments, policies and controls. Practical understanding of how AI systems are built and secured. Good understanding of LLMs and agentic AI, including RAG, tool use and orchestration. Knowledge of AI security risks including prompt injection, data leakage and excessive agency. Strong understanding of relevant AI regulation and frameworks ...

repeat manual work. Secure AI Application and Cloud-AI Guardrails Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data … NIST AI Risk Management Framework, NIST Generative AI Profile, OWASP Top 10 for LLM Applications, or Cloud Security Alliance AI security guidance. Experience with RAG architecture, AI agents, vector databases, AI APIs, prompt engineering, or AI application threat modelling. Experience building security knowledge assistants, prompt libraries, AI-assisted review workflows ...

enjoy building real solutions. You'll use Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production-ready applications … enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar ...

enjoy building real solutions. You'll use Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. You'll work across the development lifecycle, helping take GenAI ideas and POC's through to robust, production-ready applications … enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar ...

across an organisation. Data, AI & Intelligent Systems Expertise: Strong understanding of modern AI capabilities, including Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, and enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise ...

code already in place Requirements - 5+ years as an AI/ML engineer delivering NLP and ML models into production SaaS - Production LLM experience: RAG, fine-tuning, evaluation, monitoring - Strong Python, including building APIs and integrating models into applications - NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy or TensorFlow ...

have experience building and operating scalable production applications with significant user numbers You have practical experience with LLMs and AI application development, including RAG, semantic search, LLMOps or agentic workflows You have an understanding of AI application reliability, evaluation and production monitoring You have experience with AWS and CI/ ...

hands-on experience taking AI systems into production. Key experience includes: Production Python PyTorch, Hugging Face Transformers or similar Strong hands-on LLM experience RAG, vector search, prompting, tool use and agent orchestration Designing and running model evaluations Cloud deployment, containers and CI/CD Understanding AI attack surfaces ...

across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define AI-driven solutions Leading architecture and engineering decisions across Azure … experience building AI-powered applications and deploying them into production Software Engineering or Product Engineering background Strong Python development skills Experience working with LLMs, RAG architectures and modern AI frameworks Multi-cloud experience across Azure, AWS and GCP Strong understanding of cloud-native architectures and scalable application design Experience with ...

across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define AI-driven solutions Leading architecture and engineering decisions across Azure … experience building AI-powered applications and deploying them into production Software Engineering or Product Engineering background Strong Python development skills Experience working with LLMs, RAG architectures and modern AI frameworks Multi-cloud experience across Azure, AWS and GCP Strong understanding of cloud-native architectures and scalable application design Experience with ...