1 to 25 of 848 Retrieval-Augmented Generation Jobs in the UK

improve how users discover, synthesize, and interact with scientific knowledge.Our work spans semantic search, retrieval-augmented generation (RAG), ranking systems, LLM evaluation, online experimentation, and scalable evaluation infrastructure. We partner closely with Product, Engineering, UX Research, Knowledge Graph, and Applied AI teams to deliver … + Search relevance and ranking quality. + Semantic retrieval and vector search + Retrieval-augmented generation (RAG) + AI grounding and hallucination mitigation + User discovery and engagement outcomes* Establish scalable evaluation methodologies for search, retrieval, recommendation, and LLM-powered ...

ENGINEER - AI AGENTS/RAG/PYTHON/SQL/APIs £750-£800 per day | Inside IR35 | 3-month initial contract | Manchester or Leeds | Hybrid THE DETAILS £750-£800 per day Inside IR35 Initial 3 months with likely extensions Manchester or Leeds 2 days per week on-site … Agents/Agentic AI/Artificial Intelligence/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/Prompt Engineering/Prompt Writing/APIs/API Testing/API Integration/Python/SQL/Enterprise ...

ENGINEER - AI AGENTS/RAG/PYTHON/SQL/APIs £750-£800 per day | Inside IR35 | 3-month initial contract | Manchester or Leeds | Hybrid THE DETAILS £750-£800 per day Inside IR35 Initial 3 months with likely extensions Manchester or Leeds 2 days per week on-site … Agents/Agentic AI/Artificial Intelligence/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/Prompt Engineering/Prompt Writing/APIs/API Testing/API Integration/Python/SQL/Enterprise ...

team. The ideal candidate will have a deep understanding of Generative and Agentic AI, LLMs, retrieval-augmented generation (RAG), machine learning, and modern interoperability standards such as the Model Context Protocol (MCP), along with a proven track record of architecting and implementing innovative, enterprise … skills that let agents perform specialized, domain-specific tasks reliably, securely, and consistently across teams. Retrieval-Augmented Generation (RAG) & Knowledge Architecture: Expertise architecting RAG and knowledge-grounded systems—chunking strategies, embeddings, vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), hybrid search, reranking, and retrieval ...

services.* Drive adoption of AI/LLM technologies across Private Markets products, including prompt engineering, Retrieval-Augmented Generation (RAG), AI-assisted workflows, and intelligent automation where they deliver measurable business value.* Lead and develop a team of engineers, fostering a strong engineering culture focused … Experience with AI/ML technologies and hands-on knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.* Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen, or similar) would ...

learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras. Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex. Implement and optimize vector database, semantic search, and hybrid search solutions for AI-powered applications. Perform model fine … model repositories Proficiency in LangChain and LlamaIndex for building AI-powered workflows Experience implementing Retrieval-Augmented Generation (RAG) frameworks Knowledge of Vector Databases and Hybrid Search techniques Strong understanding of Natural Language Processing (NLP) concepts and applications Experience with data processing, transformation, and feature ...

solutions using modern Azure technologies and cloud-native architecture. Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into business applications. Develop responsive frontend applications alongside robust APIs and backend services to create seamless user experiences. Work closely with Product … Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake, OneLake or similar data platforms. Strong ...

solutions using modern Azure technologies and cloud-native architecture. Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into business applications. Develop responsive frontend applications alongside robust APIs and backend services to create seamless user experiences. Work closely with Product … Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake, OneLake or similar data platforms. Strong ...

solutions using modern Azure technologies and cloud-native architecture. Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into business applications. Develop responsive frontend applications alongside robust APIs and backend services to create seamless user experiences. Work closely with Product … Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake, OneLake or similar data platforms. Strong ...

scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector database architectures. Develop real-time AI applications, including speech-to-text and streaming AI interaction capabilities. Integrate AI capabilities with existing backend … technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation (RAG) solutions. Experience working with OpenAI and other modern AI platforms. Expertise in prompt engineering, prompt evaluation, and optimisation techniques. Experience developing real-time AI and audio ...

products. Partner closely with engineering teams to build intelligent experiences leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), conversational interfaces, and agentic workflows. Collaborate with analytics, data, engineering, and business stakeholders to understand customer needs and identify opportunities to create value through … Language Models (LLMs), conversational AI, or machine learning-powered experiences. Understanding of concepts such as retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns. Strong analytical and problem-solving skills, with the ability to use data and customer ...

enabled products Partner with engineering teams to build intelligent experiences using Large Language Models (LLMs), retrieval-augmented generation (RAG), conversational interfaces, and agentic workflows Collaborate with analytics, data, engineering, and business stakeholders to identify customer needs and AI-driven opportunities Translate complex customer … generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences Understanding of retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns Strong analytical and problem-solving skills Excellent communication and stakeholder management skills, with ...

agents, knowledge graphs and chatbots to enhance user experience and efficiency. Leading projects that utilize Retrieval-Augmented Generation (RAG) and GraphRAG techniques. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture … showcasing these solutions to clients and communicating their business impact. Experience in providing solutions using Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and employee ...

Technologies team. The candidate must possess deep expertise in Generative and Agentic AI, including LLMs, retrieval-augmented generation (RAG), machine learning, and interoperability standards such as the Model Context Protocol (MCP). The role involves shaping the Generative AI strategy, selecting suitable models … through modular, reusable skills and resources; defining standards for custom tools, connectors and skills ensuring reliable, secure, and consistent operation. Retrieval‐Augmented Generation (RAG) & Knowledge Architecture – expertise in RAG and knowledge‐grounded systems, including chunking, embeddings, vector databases (Pinecone, Weaviate, Chroma, pgvector, FAISS), hybrid ...

Solutions* Design, develop and deploy enterprise-grade AI products and services.* Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.* Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.* Develop reusable AI frameworks, accelerators and engineering standards.Engineering … Python and modern software engineering practices.* Experience with Large Language Models (LLMs) and Generative AI.* Agent frameworks and orchestration technologies.* Retrieval Augmented Generation (RAG) architectures.* API development and microservice design.* Cloud-native development (Azure preferred).* CI/CD automation and MLOps practices.* Vector ...

SolutionsDesign, develop and deploy enterprise-grade AI products and services. Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities. Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms. Develop reusable AI frameworks, accelerators and engineering standards. Engineering … Technical SkillsPython and modern software engineering practices. Experience with Large Language Models (LLMs) and Generative AI.Agent frameworks and orchestration technologies. Retrieval Augmented Generation (RAG) architectures. API development and microservice design. Cloud-native development (Azure preferred).CI/CD automation and MLOps practices. Vector databases ...

emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate, you will combine strong hands‐on technical expertise with the ability … implementing Artificial Intelligence (AI) capabilities within operational environments, including familiarity with Large Language Models (LLMs), Generative AI, AI agents, and Retrieval‐Augmented Generation (RAG) concepts. Strong knowledge of system integration techniques, REST APIs, authentication mechanisms, and alert‐driven architectures. Experience translating business and operational ...

Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate: up to £800 inside IR35 via umbrella The Opportunity We're looking for an experienced … business teams to deliver innovative AI solutions. Essential Skills & Experience Commercial experience building Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications ...

Engineer GenAI | RAG | AI Agents | Python | SQL Locations: Manchester, Leeds, Edinburgh (preferred) | Birmingham & Bristol considered - hybrid working - 2 days per week in either of the above locations Contract initially until Dec 2026. Day rate: up to £800 inside IR35 via umbrella The Opportunity We're looking for an experienced … business teams to deliver innovative AI solutions. Essential Skills & Experience Commercial experience building Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications ...

portions of our AI agent infrastructure , from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines , and evaluation frameworks . You will be responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure … deliver high-impact features. Ensure scalability, performance, and security across the stack. Develop and deploy AI-powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous ...

enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU’LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within GCP Engineering data platforms …/Python/SQL/Kafka/AI/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/ ...

enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU'LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within GCP Engineering data platforms …/Python/SQL/Kafka/AI/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/ ...

supporting CPD service lines. Apply Large Language Models (LLMs) to real consulting workflow problems — including document extraction, classification, summarisation, retrieval‐augmented generation (RAG), and structured output generation from technical reports. Develop Intelligent Document Processing (IDP) capabilities for the long‐form, table‐heavy … technical audiences. Demonstrable experience applying LLMs and/or ML to real workflow problems — e.g. document extraction, classification, summarisation, retrieval‐augmented generation (RAG), structured output generation. Familiarity with the wider Microsoft 365 and Power Platform ecosystem — Copilot extensibility, Power Automate, SharePoint/OneDrive ...

Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker and deploying containerised, cloud-native tools. Experience with advanced retrieval-augmented generation techniques, including: TAG (Tool-Augmented Generation) – integrating external tools to enhance generation capabilities. … Context-Aware Generation) – leveraging dynamic context to improve relevance and coherence. GraphRAG (Graph-Augmented Retrieval-Augmented Generation) – utilizing graph-based structures to enrich retrieval and reasoning. This will include the competencies Stakeholder engagement: Works with cross-functional teams ...

will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes. Job responsibilities Architect, develop … tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools ...