401 to 425 of 836 Retrieval-Augmented Generation Jobs in the UK

seeking a Data Scientist in London to lead GenAI initiatives, building LLM-based applications, prompts, fine-tuning and retrieval augmented generation for enterprise use cases. You will collaborate with data engineers and MLOps, deploy AI workflows via APIs or web apps, and stay ...

responsibly 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 AI architectures ...

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 ...

mapping tools. Familiarity with Microsoft 365 cloud ecosystem, Azure integrations, document management systems and virtual data rooms. Exposure to generative AI integration, prompt engineering, RAG architecture and LLM orchestration frameworks. Understanding of security architecture principles and legal‐sector information governance. Legal & Commercial Skills Proven experience in a law firm, ALSP ...

following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems. Experience with Kubernetes, GitOps such as ArgoCD, infrastructure ...

manage business spending more seamlessly and effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features ...

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 ...

expected to figure things out, make trade‐offs, and ship, with real autonomy over how. Nice to have Experience with LLM‐powered applications: RAG pipelines, tool‐calling architectures, or agentic systems. Experience designing external‐facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such ...

Anthropic APIs. The role requires 3-5 years of experience, strong Python/TypeScript skills, and hands-on experience with LLMs, vector databases, and RAG pipelines. #J-18808-Ljbffr ...

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 ...

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 ...

experience Strong React.js, Node.js and TypeScript experience Next.js and RESTful APIs GCP including Cloud Run Kubernetes and Terraform AI/LLM integrations, AI agents, RAG or agentic workflows Unit, integration and end-to-end testing CI/CD, secure coding and DevSecOps Experience building scalable, high-traffic applications Strong ...

escalation point Experience with RBAC, data masking, Photon, cluster optimisation or cost management would be beneficial Exposure to Mosaic AI, Vector Search, model serving, RAG or Lakebase would be advantageous ...

Fargate or similar orchestration technologies * NoSQL and relational databases * Messaging and integration services * Cloud storage solutions - Practical experience applying AI technologies such as LLMs, RAG, AI agents and automation within software solutions. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon ...

e.g., jQuery, Bootstrap) would also be highly beneficial (but not essential) Practical experience with AI development concepts such as prompt engineering, AI agent development, RAG, and vector databases/semantic search (e.g., Pinecone, Azure AI Search, Chroma) Familiarity with Microsoft Azure services Please note that there is an in-office ...

looking for Hands-onengineering experiencewith cloud-native systems(APIs, microservices, containerization, serverless) Demonstratedexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) Demonstrated end-to-end delivery ownership in a client-embedded environment, with experience building relationships with senior stakeholders We are hiring across Europe at multiple levels. ...

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 ...

Python, polyglot codebase Fluent or willing to learn Go Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization. Demonstrate ability to create reliable agents (prompting, evaluation, guardrails ...

crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines, or AI-assisted debugging workflows Prior coursework or project experience in OS internals, systems programming, or low-level debugging Familiarity with Apple platform internals ...

years of hands‐on software engineering. Comfortable working in C++, with Python alongside it. Practical experience using LLMs as an applied tool: prompting, guardrails, RAG, evaluation, and reasoning about model behaviour. You've built, or extended a model and integrated it meaningfully into a real product, close to the surface ...

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. ...

code You have experience working with large-scale, unstructured text data and LLMs - including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor You have experience with advanced visualization techniques/best ...

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 ...