451 to 475 of 878 Retrieval-Augmented Generation Jobs in the UK

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 ...

drive progress without being pushed Consulting or client-facing delivery experience is a strong advantage Exposure to GenAI applications in decisioning — personalised content generation, AI-driven offer selection Preferred Experience evaluating purpose-built decisioning solutions and contributing to capex/opex business cases Familiarity with real-time streaming … Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation, and deployment ...

drive progress without being pushed Consulting or client-facing delivery experience is a strong advantage Exposure to GenAI applications in decisioning — personalised content generation, AI-driven offer selection Preferred Experience evaluating purpose-built decisioning solutions and contributing to capex/opex business cases Familiarity with real-time streaming … Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation, and deployment ...

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 ...

research and make investment decisions. Working closely with Portfolio Managers, Research Analysts, Sustainability teams, Architects and Engineers, you will define and deliver next-generation capabilities leveraging Generative AI, agentic workflows and advanced analytics to create measurable business value across global investment teams. Key Responsibilities Own the vision, roadmap … investment data, holdings, benchmarks and fund look-through capabilities. Experience delivering AI-powered solutions, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI assistants, agentic workflows and knowledge discovery platforms. Demonstrated product management experience, including product strategy, roadmap development, prioritisation, backlog management ...

subject-matter experts and hold evidence-based recommendations in front of senior leaders. Familiarity with advanced AI concepts (Desirable): Experience with RAG (Retrieval-Augmented Generation) systems, golden datasets, scoring, regression testing, or A/B experiment design. Domain Exposure (Desirable): Prior experience ...

subject‐matter experts and hold evidence‐based recommendations in front of senior leaders. Familiarity with advanced AI concepts (Desirable): Experience with RAG (Retrieval-Augmented Generation) systems, golden datasets, scoring, regression testing, or A/B experiment design. Domain Exposure (Desirable): Prior experience ...

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 ...

e.g., Google Cloud Platform (GCP)). Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Active, or the ability to obtain ...

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 ...

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 ...

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 ...

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. ...