176 to 200 of 341 Retrieval-Augmented Generation Jobs in the UK excluding London

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

scale in production environments and create capacity for our business partners. From AI-powered investment insights and risk management solutions to next-generation agentic workflows - our work is helping to shape the future of BlackRock. Our teams work on some of the firm's highest priority strategic initiatives … standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms ...

scale in production environments and create capacity for our business partners. From AI-powered investment insights and risk management solutions to next-generation agentic workflows - our work is helping to shape the future of BlackRock. Our teams work on some of the firm's highest priority strategic initiatives … standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms ...

scale in production environments and create capacity for our business partners. From AI-powered investment insights and risk management solutions to next-generation agentic workflows - our work is helping to shape the future of BlackRock. Our teams work on some of the firm's highest priority strategic initiatives … standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience with machine learning libraries (e.g. PyTorch, Tensorflow), cloud platforms ...

complex or ambiguous cross-functional operational challenges where requirements are not fully formed. Understanding of AI concepts (e.g. prompt engineering, retrieval ‐ augmented generation). Experience with system integration, APIs and data connectivity. Strong stakeholder engagement skills, with the ability to translate technical solutions into ...

applications in production environments. Experience with vision‐language models or multimodal AI over images, video, inspection evidence, diagrams, screenshots, or technical records. Experience with RAG over structured and unstructured data. Familiarity with observability, log analysis, incident response, support tooling, runbooks, or developer tools. Experience building workflow UIs where AI assists ...

Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied ...

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 ...

practice Basic Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider pipelines. ...

identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting ...

work forward independently. What makes you stand out? Experience building AI/LLM-enabled products in production or controlled enterprise environments (e.g. agentic workflows, RAG, prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability … deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using Java and/or Python (REST ...

productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability … deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using Java and/or Python (REST ...

prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting … collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma ...

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 ...

services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt engineering and orchestration techniques. Develop Python-based services, APIs and automation scripts to support AI products. Use Power BI to develop ...

transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure data quality, governance ...

transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure data quality, governance ...

include Docker, Kubernetes, Azure, Infrastructure as Code, enterprise APIs, identity and access management, observability and modern DevOps practices. Exposure to AI platforms, LLM integration, RAG, agent frameworks or accelerated compute would be valuable, but we are primarily looking for strong architectural breadth and the ability to deliver complex technology ...

Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside … eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than ...