1 to 25 of 31 Remote/Hybrid Retrieval-Augmented Generation Jobs in the UK excluding London

features and applications using LLMs, including intelligent document processing, information extraction and automated workflows. Develop retrieval-augmented generation (RAG) solutions that connect LLMs with internal data, documents and other knowledge sources. Build and integrate APIs to connect applications, databases, CRM platforms and third-party … LLMs: Practical experience integrating large language models into applications or developing AI-powered functionality. Retrieval-Augmented Generation (RAG): Experience building or implementing RAG pipelines that enable LLMs to retrieve and use relevant information from documents, databases or other knowledge sources. Application architecture: An understanding ...

help onboard new team members. Work alongside senior engineers, including colleagues experienced in AI and retrieval-augmented generation (RAG), to build the teams confidence in applying AI to practical problems. Contribute to frontend and backend work according to your experience, developing a broader understanding … problems customers face and how users interact with our products. Explore relevant approaches with senior engineers, drawing on any experience of vector search, embeddings, RAG, fine-tuning, prompt engineering or AI orchestration frameworks such as LangChain. Help evaluate model output quality through structured examples and lightweight evaluation sets. Where relevant ...

Salesforce Einstein or Agentforce. Experience working with in-house or enterprise LLMs, including prompt design, retrieval-augmented generation (RAG) knowledge sources or evaluating AI output quality. Experience with workflow automation tools. Knowledge of the cybersecurity or data security industry. Applicants must be legally authorized ...

Azure AI services. * Build multi-agent systems and AI-powered workflows, integrating with existing applications and data sources. * Apply techniques such as prompt engineering, RAG and agent orchestration to improve AI performance. * Implement AI security, monitoring, testing and governance measures. * Take ownership of solutions throughout the full development lifecycle, from … integration. * Experience with Azure AI services, Azure OpenAI, AI Search or similar technologies. * Understanding of Retrieval-Augmented Generation (RAG), prompt engineering and AI orchestration. * Python experience is desirable but not essential. * Experience working with Public Sector, or other regulated environments would be beneficial. * Must ...

Generative AI technologies. Microsoft Copilot Studio, Power Automate, Azure Logic Apps or Azure Functions. Retrieval-Augmented Generation (RAG) and Azure AI Search. Microsoft 365 or SharePoint integrations. Experience delivering AI solutions within enterprise environments. ...

Data, AI & Intelligent Systems Expertise: Experience or strong interest in one or more of the following: Generative AI, LLMs, Retrieval Augmented Generation (RAG) and AI applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible ...

GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. ...

Experience across several of the following areas would be advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure … Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge layer orchestration. Ensure AI solutions meet security, governance and compliance requirements … building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. AWS, Azure, GCP) and their AI/ML services. Exposure to knowledge management, knowledge graphs or advanced ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality ...

frameworks, risk assessments, policies and controls. Practical understanding of how AI systems are built and secured. Good understanding of LLMs and agentic AI, including RAG, tool use and orchestration. Knowledge of AI security risks including prompt injection, data leakage and excessive agency. Strong understanding of relevant AI regulation and frameworks ...

across an organisation. Data, AI & Intelligent Systems Expertise: Strong understanding of modern AI capabilities, including Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, and enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise ...

have experience building and operating scalable production applications with significant user numbers You have practical experience with LLMs and AI application development, including RAG, semantic search, LLMOps or agentic workflows You have an understanding of AI application reliability, evaluation and production monitoring You have experience with AWS and CI/ ...

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 ...

LLMs (local/self-hosted) SignalR real-time communication experience OOP and Entity Frameworks Dependency injection PostgreSQL/SQL Servers/Vector Search/RAG API integration experience AI tools - Claude Code or GitHub Copilot Hands-on experience using OpenAI or Anthropic Highly desirable: Python AI tooling and evaluation scripts ...

Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside … eventually run these systems without long-term reliance on external suppliers. Key ResponsibilitiesHands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating ...

Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside … eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than ...

controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional … well help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience ...

code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement … Nice-to-Have Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience with APIs, data pipelines, MLOps practices and modern software engineering disciplines. Experience managing partner-led delivery ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...