101 to 125 of 217 Retrieval-Augmented Generation Jobs in the UK

agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes ...

delivering AI solutions in complex or high‐security environments. Desirable Skills Experience with MLOps, LLMOps, or production‐grade AI deployments. Knowledge of vector databases, RAG, and prompt engineering techniques. Exposure to government, defence, or national security domains. Who This Role Suits A senior‐level AI/ML specialist who wants ...

supporting AgenttoAgent A2A communication orchestration and collaboration across diverse enterprise functions Define LLM solution strategy model selection finetuning grounding and retrievalaugmented generation RAG pipelines for contextual accuracy Establish context and memory engineering frameworks embedding stores vector databases and persistence strategies Architect prompt management and functioncalling layers for seamless ...

integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar) Cloud & DevOps: AWS, Azure, or GCP Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience deploying and maintaining ...

integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar) Cloud & DevOps: AWS, Azure, or GCP Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience deploying and maintaining ...

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 ...

ambiguity. What We’re Looking For Consulting or product-led background with direct client exposure Strong Python and hands-on delivery of GenAI systems (RAG, LLM apps, agent workflows) Able to write production-quality, maintainable code Familiar with prompt engineering, evaluation, and tools such as LangChain/LangGraph Clear motivation ...

end. Strong Python and SQL skills; experience working with large datasets in the cloud. Hands-on experience with LLM-based systems (e.g. RAG, agentic workflows, NLP). Strong product and systems thinking with a practical, impact-led mindset. Nice to Have AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift). ...

architectures Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches) Define non-functional requirements: security, scalability, performance, cost, availability Ensure alignment with Azure best practices, security standards, compliance ...

Understanding of DevSecOps, secrets management, enterprise controls, and compliance • Familiarity with Jira and Confluence • GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows • GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat ...

services (Azure AI, AWS, GCP, OpenAI, Anthropic) Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems) Data platforms and middleware Define: Agent-based automation models RAG architectures Process orchestration frameworks Human-in-the-loop governance models Ensure security, compliance, and responsible AI principles are embedded 4. Business Case Development Build compelling financial ...

success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

detection, and optimisation. The Role • Deliver full lifecycle AI and ML projects from prototype to production. • Build applied AI workflows including LLMs, NLP, and RAG‐based solutions. • Work with large and messy tabular datasets to create high‐impact models. • Develop classification and optimisation approaches to enhance customer outcomes. • Partner with ...

Hands-on experience with conversational AI (e.g. chatbots, LLMs, search) Proven track record improving AI systems in production Understanding of modern AI architectures (e.g. RAG, embeddings, vector search) Ability to work effectively with technical and non-technical stakeholders Profile Comfortable in fast-paced, customer-focused retail environments Strong communicator ...

dabbled in Infrastructure as Code (Terraform), messed around with Docker/K8s, or are currently exploring the world of AI-assisted development (RAG, vector stores, or agentic workflows), you’ll find plenty of room to flex those muscles here. ...

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 ...

platforms. Your Skills and Experience Hands on experience building and deploying machine learning models end to end. Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning. Understanding of production grade ML workflows and CI CD principles. Experience building chatbots or NLP driven chat engines used in live ...

Experience working with LLM APIs and prompt engineering Great to have Additional exposure to data platforms such as Databricks or ThoughtSpot Understanding of RAG pipelines and vector databases (Hands-on experience across several of the above systemsis beneficial) Commercial & Operational Experience operating in a SaaS environment with a strong understanding ...

systems (including shipping or influencing production systems) Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX) Proven experience balancing innovation (0→1) with mature product lifecycle management Strong track ...

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 ...

delivering solutions at pace. Key Responsibilities Design and build scalable full stack applications Develop and deploy AI-powered solutions including LLM integrations and RAG systems Work closely with stakeholders to translate business needs into technical solutions Lead rapid prototyping and production delivery Contribute to architecture decisions across multiple projects Mentor ...

delivering solutions at pace. Key Responsibilities Design and build scalable full stack applications Develop and deploy AI-powered solutions including LLM integrations and RAG systems Work closely with stakeholders to translate business needs into technical solutions Lead rapid prototyping and production delivery Contribute to architecture decisions across multiple projects Mentor ...

engineering teams to ship AI at scale. What You’ll Work On LLM training/fine-tuning (SFT, RLHF, distillation) for financial use cases RAG systems & knowledge integration Model optimization for real-time production AI agent development & efficiency pipelines Who You Are Hands-on LLM/deep learning experience (PyTorch ...

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. ...