551 to 575 of 876 Retrieval-Augmented Generation Jobs in the UK

vLLM and llm-d (or directly equivalent model serving stacks) in production Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns Experience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating ...

vLLM and llm-d (or directly equivalent model serving stacks) in productionExperience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patternsExperience building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platformsExperience operating or integrating model serving ...

Genixbit in London is seeking an AI Engineer to fine-tune open-source models for domain tasks, improve deployment pipelines, and develop context management and semantic search solutions. The role requires hands-on experience with ...

Citibank (Switzerland) AG in Belfast is seeking a Senior Python developer to join the Wholesale Credit Risk Technology team. You will partner with onshore and offshore teams to design and deliver innovative technology solutions for ...

GenixBit Labs Pvt. Ltd. is seeking an AI Engineer in London specializing in LLM fine-tuning and Generative AI. You will work on optimizing and tailoring models for specific applications, ensuring high performance in low ...

need of a Python engineer to support a customer with building an AI Chatbot using Python and LlamaIndex. Key Technologies: Python 3.12+ LlamaIndex/RAG Azure AI Foundry/OpenAI Typesense/Vector Search PostgreSQL/Pydantic Plotly Dash Key Duties: Develop and enhance production-grade Python AI appli click ...

across a large enterprise. You will drive security architecture, enforce secure-by-design patterns and collaborate with engineering, cloud and security teams on LLMs, RAG, AI agents and data flows. The role is hybrid with bases in London or Reading. Visa sponsorship is available for candidates currently living ...

across a large enterprise. You will drive security architecture, enforce secure-by-design patterns and collaborate with engineering, cloud and security teams on LLMs, RAG, AI agents and data flows. The role is hybrid with bases in London or Reading. Visa sponsorship is available for candidates currently living ...

ship production-ready front-end experiences that leverage AI capabilities within a regulated environment. The role emphasizes hands-on development with CLAUDE Code, RAG patterns, and vector stores, ensuring observability, risk controls, and robust evaluation of AI outputs throughout the #J-18808-Ljbffr ...

within the Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will have 3–5+ years in ML engineering, strong Python skills, experience ...

Commercial experience building production AI/ML applications Strong Python engineering skills Experience with modern LLMs and agentic AI systems Hands-on experience with RAG, vector databases, and LLM orchestration Experience deploying and operating production ML systems Comfort working across models, infrastructure, and product Условия: Equity options Opportunity to shape ...

training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders, comfortable with pushback in live ...

medical device software (e.g. IEC 62304, IEC 81001-5-1) AI fluent - You have strong technical knowledge of modern generative AI (e.g., LLMs, embeddings, RAG, fine-tuning, evaluation/monitoring) and have a rich understanding of how these systems work - and where they fail The interview process Intro chat with ...

with Python, JavaScript/Node, TypeScript, or similar languages. Strong SEO/GEO/content delivery systems experienceExperience with LLM‐based applications, AI agents, RAG systems, or workflow automation. Ability to interpret ABV insights and translate them into actionable optimizations. Excellent communication and customer‐facing skills. Preferred: Experience with ...

evaluations in parallel, prioritize what moves deals, and your job description will change as the region grows Familiarity with the modern AI stack — LLMs, RAG, agents — and how customers evaluate it; you can scope a POC with clear success criteria Based in region with willingness to travel for customer engagements ...

resourceful with an entrepreneurial spirit, excited by the opportunity to help scale Palladium's AI capability Technical knowledge of AI platforms, LLM tooling, RAG architectures, or orchestration frameworks, even if not at an engineering depth Familiarity with the Private Equity landscape, portfolio company dynamics, or PE-backed transformation contexts Experience ...

Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience of working in teams employing agile practices and using modern SDLC ...

degree or equivalent combination of education and experience in a related field. Preferred Qualifications AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness ...

coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL). Front ...

team, and external partners Nice to Have: AI Skills: Experience developing AI agents using Python LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration Why IndyKite? Category Creation: The chance to define and build ...

understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiatorComfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government ...

regulatory data in vector space. Build and operate vector database infrastructure for semantic search and similarity retrieval. Implement RAG (Retrieval‐Augmented Generation) architectures that ground LLM outputs in Comply’s proprietary data. Evaluate and integrate LLM tooling and frameworks appropriate to Comply … Jena Fuseki, Neo4j, Amazon Neptune or equivalent). Experience with vector databases and embedding pipelines (e.g., Pinecone, Weaviate, Qdrant, pgvector). Practical experience implementing RAG architectures or LLM‐integrated data pipelines. Familiarity with semantic web standards — JSON‐LD, RDF, OWL, or SKOS. Strong Python skills and experience with data pipeline ...

wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM‐based capabilities, including retrieval‐augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic workflows, tool orchestration, and multi‐step AI processes. Strong ...

relevant stakeholders Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) Demand Generation … such as Apache Kafka and Kubernetes Modern Architecture Design: Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space Sales Techniques and Soft Skills: Effective ...

Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate … agentic applications, including integration with enterprise systems and workflows Strong understanding of LLM application patterns, including prompt engineering, retrieval‐augmented generation, tool calling, context management, evaluation, and guardrails Experience with RESTful API design, development, and integration, including frameworks such as FastAPI Experience with data ...