426 to 450 of 836 Retrieval-Augmented Generation Jobs in the UK

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 ...

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 ...

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 ...

communication skills; able to translate complex technical concepts for business audiences and vice versa Preferred Qualifications Experience with AI/LLM‐adjacent products — including RAG pipelines, knowledge graphs, embedding models, or MCP/API integrations powering AI applications Familiarity with Agentive AI architectures and how knowledge layers support intelligent automation ...

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 ...

must demonstrate differentiated, hands-on Agentic AI and GenAI expertise: 1/Proven experience architecting and building agentic AI systems - including multi-agent orchestration, RAG pipelines, and prompt engineering - not theoretical familiarity but demonstrated delivery of working prototypes and customer-facing demos. 2/Proficiency using AI-powered coding assistants ...

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 ...

covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP‐first stack. Building and maintaining production ML pipelines and services for non‐GenAI use cases (e.g. recommender … Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production (batch and real‐time). Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques. Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage. Strong grasp of security, privacy ...

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 ...

concept work. Reviewing code and technical outputs to maintain high engineering and quality standards. Designing and delivering Generative AI and LLM solutions , including RAG architectures, prompt engineering, vector search and integration with Azure AI services. Defining engineering approaches for LLM applications, agentic AI systems, machine learning solutions and AI platforms … TensorFlow . Practical experience with Databricks , including MLflow and Spark-based data processing. Hands-on knowledge of Generative AI and LLMs , including prompt engineering, RAG architectures and vector search. Strong understanding of MLOps , including CI/CD, model testing, deployment, monitoring and model lifecycle management. Cloud experience, ideally within ...

routing, rate limiting, cost management, modelselectionand version control across multiple model providers. AI solution design Design retrieval and reasoning architectures including RAG, corrective RAG (CRAG), and agentic patterns, selecting the right approach for a given business problem. Architect agent harnesses and their components — planning, memory, tool use, statemanagementand … Working understanding of how AI integrates with major operational systems such as SAP,Salesforceand ServiceNow. Hands-on knowledge of agentic AI, LLM gateways, MCP, RAG/CRAG, agent harnesses, evaluations and guardrails, and AI observability. Demonstrable experience designing and leading data & AI transformationprogrammes, andbuilding high-performing teams in complex stakeholder ...

reviews, oversee integration quality, and ensure adherence to enterprise performance, security, and scalability standards. Direct implementation of LLM orchestration, Retrieval‐Augmented Generation (RAG), and Human‐in‐the‐Loop (HITL) workflows on live projects. Package learnings into reusable delivery playbooks to enhance speed and quality … platform, including advanced integration patterns, core architecture design, and performance tuning. Practical knowledge of Agentic AI architecture, multi‐agent orchestration, prompt engineering, vector databases (RAG), and data privacy guardrails. Strong background in Agile/Scrum delivery, defining MVP boundaries, and creating realistic work‐breakdown structures for SOWs. Dual‐mindset agility ...

consistency, accuracy and usefulness of their outputs. Design AI-enabled solutions using modern approaches including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), workflow automation, knowledge retrieval and AI-assisted user experiences. Apply prompt-as-code, prompt testing and evaluation-led development … discovery and requirements gathering through implementation and adoption. Strong understanding of modern AI technologies and patterns including Large Language Models, Retrieval Augmented Generation, AI agents, evaluation frameworks and model orchestration patterns. Practical experience applying prompt engineering, context engineering, prompt-as-code and versioning practices ...

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 ...

Linux-based environments and proficient in managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep ...

infrastructure, Kubernetes, and infrastructure as code. Familiarity with LLM APIs and the surrounding ecosystem, including model providers, gateways, MCP, agent frameworks, and retrieval-augmented generation. Experience building observability into distributed systems using metrics, tracing, and logging. A security-conscious approach, including experience with authentication, authorization ...

commercial environmentStrong understanding of AI tools and their practical application in business operations, including generative AI, AI agents, prompt engineering, and retrieval-augmented generationA Product Management approach to AI initiatives, covering intake scoring, roadmap prioritisation, outcome measurement, and iterative deliveryConfidence learning and evaluating new AI platforms ...

cost optimization while collaborating with security researchers. This remote UK role requires strong Python and Go, production systems experience, and familiarity with LLMs, RAG, and agent frameworks. #J-18808-Ljbffr ...

collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus experience with RAG and tool orchestration in an enterprise setting. #J-18808-Ljbffr ...

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 ...

/GCP). Ability to standardise and influence across teams. Nice to Have Lakeflow connectors, RBAC/masking, GenAI (Mosaic AI, Vector Search, RAG), Lakebase. #J-18808-Ljbffr ...