126 to 150 of 279 Retrieval-Augmented Generation Jobs in England

Responsibilities/h3 ul li Design the end to end AI architecture across the group agentic systems, LLM orchestration, retrieval augmented generation (RAG), and multi model pipelines/li li Select and implement the right tooling stack orchestration frameworks, vector databases, observability platforms, deployment ...

LLaMA, Mistral, Claude). Fine-tune large language models for domain-specific applications. Implement advancedprompt engineeringstrategies. LeverageRetrieval-Augmented Generation (RAG)for enhanced contextual performance. Build intelligent agents using frameworks likeLangChain, LlamaIndex, CrewAI, AutoGen. Applyreinforcement learningtechniques includingQ-learning,policy gradients, andRLlib. Collaborate with cross-functional teams ...

platforms such as AWS, GCP, or Azure. What you’ll bring Deep, hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs, and agentic workflows Proven track record of leading complex, client-facing engagements with a forward-deployed mindset, partnering with both technical and business ...

tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring: Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders Strong delivery capabilities ...

Role 2: Applied AI Engineer Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

high-performing consulting and AI teams We’re looking for: • Proven success leading large AI consulting sales and transformations • Deep understanding of GenAI, LLMs, RAG, MLOps and enterprise AI delivery • Strong experience across Telecoms, Media or Technology sectors • Executive-level communication and stakeholder management skills • Experience leading multi-disciplinary teams ...

agent-style or multi-step AI workflows Using LLMs (Azure OpenAI/OpenAI) in real applications Implementing prompt engineering in production environments Working with RAG, embeddings, or vector-based search Designing systems with human-in-the-loop controls and governance Understanding of AI reliability, evaluation, and auditability This ...

with agents, tool calling or LLM orchestration. A background in lawtech/legaltech or other regulated domains. Programming in Python. Deeper experience with LLMs, RAG techniques and evaluation. Knowledge of Docker, containerisation and serverless technologies. AWS Certification is a plus. Education and Experience: Bachelor’s degree in Computer Science, Information ...

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 ...

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 ...

platform. Required Qualifications: Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss … integration with a developer. Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment. Functional Machine Learning Knowledge: A strong conceptual grasp ...

Ability to work in fast-paced, delivery-focused projects Desirable Skills Experience with Power Platform (Power Automate, Power Apps) Knowledge of RAG (Retrieval-Augmented Generation) architectures Familiarity with enterprise data security and compliance in AI solutions Previous consulting or client-facing delivery experience Working ...

Engineering community. What youll bring: A strong understanding of AI, machine learning and agent-based AI concepts, including Retrieval Augmented Generation (RAG), multi-agent systems and conversational agents. Experience developing AI solutions using programming languages such as Python, or similar languages used ...

Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval-Augmented Generation. Solid understanding of MLOps. Ability to engage confidently with clients and present technical solutions clearly. It would be great if you had: Experience ...

Essential • 2–3 years building production software used by real users • Experience working in startups (1 year + of total experience) • Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs • Production experience with FastAPI or a similar modern Python framework • Experience scaling and operating services ...

production systems in a startup or fast-paced environment Familiarity with cloud platforms such as AWS, GCP, or Azure Exposure to AI, LLMs, or RAG is beneficial You’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development. ...

they’re looking for: Strong experience with Python in a production environment Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.) Experience building APIs and backend services Solid understanding of cloud platforms Ability to work in a fast-paced, product-driven environment Why join? Work ...

workflow management Strong communication and stakeholder engagement skills across business and technology teams Preferred Experience with workflow automation platforms or agentic frameworks Familiarity with RAG pipelines, vector databases, or LLM evaluation approaches Financial services background – Markets, Execution, or related domains Agile delivery experience in a fast‐paced, innovation‐focused environment ...

They’re Looking For Proven experience designing & deploying AI/ML solutions Expert knowledge of LLMs, AI frameworks & agent-based systems Experience in building RAG Systems Cloud expertise across AWS/Azure/GCP Ability to turn complex problems into scalable architectures Passion for AI innovation (this ...

deployment and monitoring. Lead end to end delivery of AI and LLM based solutions across underwriting and insurance journeys Build and deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists ...

secure development Experience designing APIs with a focus on security and best practices Proven experience delivering AI-powered features, including LLM integrations and RAG-based solutions Experience integrating AI capabilities into .NET backend systems and RESTful APIs Familiarity with CI/CD pipelines, Docker, and cloud infrastructure (Azure experience advantageous ...

business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ...

Strong hands‐on experience deploying and configuring Azure AI services, particularly Microsoft Foundry and Azure OpenAI. Solid understanding of AI and GenAI concepts including RAG architectures, agents, prompt engineering and responsible AI principles. Experience working across Azure infrastructure fundamentals to support AI workloads end‐to‐end. Commercial awareness and ability ...

consultative mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ...

catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands ...