251 to 275 of 299 Retrieval-Augmented Generation Jobs in the UK

Python development experience, ideally using modern backend frameworks Hands-on experience working with large language models and related techniques such as prompting, retrieval-augmented generation, or tool use Understanding of agent-based AI systems and orchestration approaches Good SQL skills and experience working with … beyond LLMs A proactive approach to experimenting with new AI tools and frameworks Apply now to play a key role in building next-generation AI capabilities within a high-performing engineering team. AI Engineer, Python, London, COR7586 Corriculo Ltd acts as an employment agency and an employment business. ...

13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Primary Skill - RAG & Agentic GenAI Engineering Secondary Skill - Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards … Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services Work across the full SDLC pipeline (design, development, testing, CI/CD, deployment, and maintenance) Collaborate with cross-functional teams ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. ...

Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation … with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join ...

that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills …/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior ...

highly regulated financial environment? This is a genuinely exciting opportunity to join a top banking organisation investing heavily in automation, AI and next-generation engineering capabilities. You'll be building full-stack applications, AI-powered tools, automations and workflow solutions that directly improve business operations and user productivity … enjoys combining modern software engineering with emerging AI technologies. Tech & Projects Include: Python (FastAPI/Flask) JavaScript, REST APIs & SQL Server AI & LLM applications RAG pipelines & agentic AI workflows Locally hosted open-source LLMs Microsoft Power Platform LangChain, LangGraph, Semantic Kernel & Copilot Studio exposure Why this role stands out: Real ...

commercially effective from concept through to production. Key areas of focus include: • Enterprise AI and machine learning architecture • Databricks, AWS, and Snowflake ecosystems • RAG, vector databases, and agentic AI orchestration • Cloud-native, API-driven, and event-driven architectures • FinOps and cloud cost optimisation • AI governance, security, and compliance • Cross-functional … reinsurance sector experience advantageous but not essential This represents an excellent opportunity to join a highly respected global organisation investing significantly in next-generation AI capability and long-term technology transformation. For a confidential discussion, please feel free to contact me directly. ...

want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical … data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close ...

solutions into real-world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging … Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy ...

guide AI development Key Responsibilities Lead the development and deployment of AI-powered tools to improve efficiency and productivity Design advanced solutions including automation, RAG, and LLM-based workflows Collaborate with stakeholders and internal teams to identify and deliver strategic AI initiatives that deliver measurable business value and increase productivity … experience in AI engineering or software engineering Strong Python experience Proven experience of building and deploying AI solutions end-to-end Experience with RAG and LLM-based solutions, and with workflow design (e.g. N8N, Power Automate, LangChain, etc.) Solid understanding of AI architectures and data pipelines Knowledge of security, compliance ...

close to clients, close to the problem, and close to the code. What you’ll work on: Agentic AI workflows LLM-powered applications RAG and knowledge systems Document extraction and classification Workflow automation API and system integrations Client-facing prototypes and production builds Internal Conquer AI product development What … secure AI applications Move quickly from concept to working product We’re looking for: Strong software engineering experience Hands-on experience with AI, LLMs, RAG, agents, ML systems, or automation Good backend engineering capability Experience with APIs, data, integrations, and production systems Clear communication and client-facing confidence A bias ...

close to clients, close to the problem, and close to the code. What you’ll work on: Agentic AI workflows LLM-powered applications RAG and knowledge systems Document extraction and classification Workflow automation API and system integrations Client-facing prototypes and production builds Internal Conquer AI product development What … secure AI applications Move quickly from concept to working product We’re looking for: Strong software engineering experience Hands-on experience with AI, LLMs, RAG, agents, ML systems, or automation Good backend engineering capability Experience with APIs, data, integrations, and production systems Clear communication and client-facing confidence A bias ...

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. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/… within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong ...

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. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/… within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong ...

This job is with Santander UK, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Engineer Country: ES EL ...

Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval ...

hands-on engineering role focused on designing and maintaining scalable AI pipelines. You’ll work on real-world applications including document ingestion, RAG architectures, async workflows, structured outputs, and LLM orchestration in production environments. What we’re looking for: • Strong Python backend engineering skills • Experience shipping production LLM-powered systems … Hands-on with RAG, prompt engineering, and evaluation frameworks • Experience with OpenAI, Anthropic, or similar APIs • Comfortable owning systems end-to-end in a fast-moving environment Tech stack includes Azure, LLM pipelines, vector search, async processing, and API-first architecture. Hybrid role based near Guildford, UK. ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Benefits: 25 Days ...

rigor, and building an inclusive, collaborative culture. Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions. Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards. Influence across product … data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems. Proven success leading and developing technical teams in complex product, platform, or research environments. Experience working ...

governance Faceted classification Controlled vocabularies Thesaurus construction ISO 25964 standards Domain modelling Concept modelling Entity-relationship design Metadata schema design Linked data principles RAG knowledge layer design Knowledge grounding for LLMs Ontology-driven agent design GraphRAG semantic integration Semantic retrieval patterns What We Are Looking For: Essential: Proven … validation and reasoning queries Experience owning and governing taxonomies as versioned, change-controlled assets Understanding of how ontologies and taxonomies feed into AI and RAG systems Strong documentation discipline and ability to record modelling rationale clearly Experience collaborating with technical teams including data engineers and AI developers Highly Desirable: Experience ...

agents and automated decisioning can be embedded into core operations. AI-ready enterprise knowledge architecture - building the structured business meaning required for GenAI, RAG, knowledge graphs, agentic AI, explainable analytics and intelligent process orchestration. This is not a pure data modelling role. It is a business architecture, domain modelling, semantic … simply system-level data structures. 5. Knowledge graph and AI enablement Define insurance entities and relationships for knowledge graphs and graph-based reasoning. Support RAG and GenAI solutions with governed domain knowledge and contextual enrichment. Help define AI agent memory, context, guardrails, decision boundaries, explainability and traceability. Create reusable ontology ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Several years experience ...

across the UK and US. This is a hands-on sourcing and delivery role, focused on finding exceptional engineers across AI, machine learning, LLMs, RAG, Python, TypeScript, Node.js, and modern software engineering. This is not a generic recruitment role. We need someone who understands technical talent markets, can identify strong … scale-up environment Nice to have: Experience hiring forward deployed engineers or client-facing technical profiles Experience hiring for Python, TypeScript, Node.js, LLMs, RAG, or agentic AI roles Existing network across AI/ML engineering talent Experience supporting US hiring, especially New York Agency or embedded recruitment background About Conquer ...

working on: • Production pipelines from financial data vendors • Data flow optimisation across the business • Reliability, alerting and latency improvements • AI capability, including RAG pipelines and OCR-based document extraction • AWS infrastructure managed with Terraform • Close collaboration with both technical and non-technical stakeholders What they’re looking for: • Strong Python … technical users • Comfortable using AI engineering tools such as Cursor, Claude Code or Codex Bonus points for: • Financial services experience • MongoDB • Vendor API integrations • RAG/LLM tooling You’ll suit this role if you like autonomy, enjoy solving messy business problems, and get genuinely annoyed when a process ...

machine learning or software engineering environments. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer vision, LLMs, RAG architectures, transformer models, audio processing and intelligent automation features within a highly collaborative engineering environment. Location: Cambridge, UK. Hybrid working model - minimum of 4 days … Kotlin, TypeScript and React, prior experience with these technologies is not required Interest and exposure across AI technologies such as machine learning, LLMs, RAG systems, computer vision, multimodal AI or transformer architectures Ability to work across both research/prototyping and production engineering Strong problem-solving ability and analytical thinking ...