201 to 225 of 304 Retrieval-Augmented Generation Jobs in the UK

enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release click apply for full job details ...

zones, networking, security, governance) Design scalable cloud, data, and AI solutions Deliver modern data platforms (Fabric, Databricks, data lakes) Shape AI solutions (Azure OpenAI, RAG, copilots) Run client workshops and act as technical lead on engagements Support pre-sales, bids, and solution design What Were Looking For 610+ years Azure ...

zones, networking, security, governance) Design scalable cloud, data, and AI solutions Deliver modern data platforms (Fabric, Databricks, data lakes) Shape AI solutions (Azure OpenAI, RAG, copilots) Run client workshops and act as technical lead on engagements Support pre-sales, bids, and solution design What We’re Looking For 6–10+ ...

turning ambition into actionable strategy across the business. You’ll work at the intersection of business and technology, translating AI capabilities (LLMs, document intelligence, RAG) into commercially meaningful initiatives across domains such as customer, operations, and risk. Rather than delivering isolated use cases, your focus will be on building ...

Looking For Essential: Strong background in software engineering, architecture or technical delivery Clear pivot into AI, with hands-on understanding of LLMs, agent architectures, RAG and modern AI ecosystems Experience leading client AI or digital transformation engagements Consultancy or professional services background Ability to translate AI capability into commercial value ...

leading and developing engineering teams, including growing high-performing teams and improving delivery effectiveness. Strong understanding of modern AI concepts and architectures, including LLMs, RAG, and fine-tuning, with the ability to assess AI-driven technical proposals independently. Genuine interest in AI and emerging technologies, with hands-on experimentation using ...

leading and developing engineering teams, including growing high-performing teams and improving delivery effectiveness. Strong understanding of modern AI concepts and architectures, including LLMs, RAG, and fine-tuning, with the ability to assess AI-driven technical proposals independently. Genuine interest in AI and emerging technologies, with hands-on experimentation using ...

value What We’re Looking For Experience delivering AI/GenAI solutions in a real business environment (not just demos) Strong understanding of LLMs, RAG, and workflow/automation patterns Ability to turn ambiguous problems into practical, shipped solutions Hands-on builder—comfortable prototyping, integrating tools, and iterating quickly Outcome ...

Code, Cursor, Copilot or similar) as part of your day-to-day workflow Exposure to LLM integration patterns: prompt design, tool/function calling, RAG, vector stores, or agentic orchestration ...

consulting, a delivery role at a SaaS/AI company, or a technical role you've moved out of. Experience with LLM-based products, RAG, or agentic systems. PMP, PRINCE2, Agile/Scrum certifications. How You Work You're comfortable with ambiguity and bring structure to it. You ask good ...

help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered … experiences in production. Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases Develop scalable backend services and APIs powering AI agents and conversational systems Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search Collaborate closely with product ...

will be involved across the full lifecycle of GenAI productsfrom proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , youll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities … Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring ...

solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients. … solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine ...

extend platform components—APIs, tooling, and bespoke logic Architecture & Standards Architect robust, scalable, and compliant Agentic AI solutions across industries Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design Champion observability, telemetry, and auditable AI standards Build and maintain reusable frameworks and asset libraries Team & Product Help …/Vue, SQL, REST/GraphQL DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks Agentic/Integrations: MCP, Salesforce/SAP/Other Excellent communication with both technical and executive stakeholders Mentorship capability ...

TypeScript Contribute to scalable, distributed systems and cloud architecture (AWS) Work with structured and unstructured data across varied storage solutions Build and integrate RAG pipelines and AI-driven workflows Implement LLM integration patterns and multi-step orchestration Collaborate with cross-functional teams to deliver robust, high-quality systems What They ...

SaaS, fintech, professional services or regulated environments Exposure to AI-enabled products, automation tools or GenAI initiatives Understanding of technologies such as LLMs, NLP, RAG pipelines or AI workflow tooling Strong stakeholder management and workshop facilitation skills Experience working in Agile product environments Commercially minded product thinking with a focus ...

SaaS, fintech, professional services or regulated environments Exposure to AI-enabled products, automation tools or GenAI initiatives Understanding of technologies such as LLMs, NLP, RAG pipelines or AI workflow tooling Strong stakeholder management and workshop facilitation skills Experience working in Agile product environments Commercially minded product thinking with a focus ...

enterprise clients. We work with organisations to understand their workflows, identify where AI can automate or augment work, and build practical systems across LLMs, RAG, workflow automation, document intelligence, operational copilots, data extraction, and enterprise integrations. Our projects move quickly, so delivery is critical. We need someone who can help ...

working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home ...

Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...

proof-of-concept role. You will be responsible for delivering secure, resilient and scalable AI-enabled applications that consume standardised GenAI services, including LLMs, RAG, summarisation and extraction capabilities. You will work closely with GenAI Engineers, Platform Engineers, Product, Architecture and Business Delivery teams to turn business problems into robust … responsibilities: * Design, build and maintain AI-enabled applications using enterprise GenAI services* Develop production-grade microservices and/or full-stack applications* Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications* Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution* Build ...

/or data platforms at scale Experience in a senior technical or leadership role (3+ years) Strong understanding of modern AI approaches, including LLMs, RAG, and orchestration Knowledge of cloud environments, security, and compliance considerations Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment ...

delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading technical delivery across projects Driving adoption of GenAI, RAG, and agent-based systems Acting as the SME for ML engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/… MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression Opportunity to lead and shape technical direction Security clearance eligibility required. ...

scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate … LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code ...

their data needs and unblock them quickly. Bring AI Into Your Own Workflow: Use AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks. Team & Operations Share What You Know: Champion knowledge sharing and best practice across the team and wider … Experience with Terraform or equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus. Working knowledge of Google's marketing stack: Google ...