301 to 325 of 341 Retrieval-Augmented Generation Jobs in the UK excluding London

teams to understand business and technical challenges. Design and develop AI-powered prototypes, proof-of-concepts and product solutions . Apply Generative AI, LLMs, RAG and prompt engineering to real-world use cases. Evaluate and integrate AI platforms, tools, APIs and cloud technologies. Contribute across the full product engineering lifecycle … experience across AI, software development and product engineering . Strong proficiency in Python and JavaScript . Hands-on experience with Generative AI, LLMs and RAG architectures . Experience with prompt engineering and AI APIs/integrations. Experience building prototypes, proof-of-concepts or production-ready solutions. Strong understanding of modern ...

human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape---foundation models, agentic AI, retrieval-augmented generation, fine-tuning---and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred ...

challenge design decisions, and assess technical risk Deep expertise in enterprise AI applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses … delivery outcomes across the portfolio Drive architectural decisions, organizational alignment, and integration of AI-powered solutions using large language models, retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence ...

agentic technologies. Key responsibilities Own the technical POC from scope through to demonstration Build front-end and back-end components Design and implement RAG and retrieval capabilities Work with vector databases and/or knowledge graphs Develop agentic workflows and supporting harnesses Build evaluation frameworks and assess … iterate and demonstrate solutions Work closely with architects, data specialists and client technical teams Experience required Strong hands-on AI/LLM engineering experience RAG and retrieval architectures Agentic AI/workflows Strong software engineering capability across front and back end Azure and Azure OpenAI/OpenAI Experience ...

Software Engineer to play a leading role, bringing deep skills in cutting‐edge AI to help us invent and deliver the next generation of intelligent capabilities. Key Responsibilities Lead cutting‐edge research and development of state‐of‐the‐art AI models for Design and Manufacturing challenges within … paced, cross‐functional team Preferred Qualifications Experience with model fine‐tuning, RLHF, or building agentic tool‐use systems Familiarity with retrieval‐augmented generation, knowledge graphs, or structured enterprise data Experience deploying AI in Design, Manufacturing, PLM, or industrial domains History of patents, publications ...

workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure … support the satellite model across business functions Requirements Hands-on experience building solutions with LLMs, AIAPIs, Copilot Studio, or agent frameworks Strong understanding of RAG architectures, vector databases, embeddings, and retrieval optimisation Experience with Microsoft Azure AI services, cloud-native engineering, and secure deployment patterns Experience with agent ...

Foundry, Agent Framework and Microsoft IQ. Designing and implementing multi-agent workflows, including human-in-the-loop patterns and agentic orchestration. Creating robust RAG solutions using vector databases, Foundry IQ and agentic retrieval techniques. Developing predictive machine learning models with Azure Machine Learning to support forecasting, operational performance … into production environments. You are experienced in developing pro‐code AI solutions using technologies such as Microsoft AI Foundry, Agent Framework, vector search and RAG‐based approaches. You understand and have experience with implementing responsible AI, quality evaluations, observability and human‐in‐the‐loop patterns when deploying AI into real ...

Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. … securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DBAI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment modelsCloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platformsSW Engineering and DevSecOpsSet yourself apart: Certified cloud Machine ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified ...

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. … expertise in CPG, retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united ...

technical and non-technical training), plus gain certifications Role OverviewWe are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. … with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response. Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools. Experience designing guardrails for autonomous systems, including least privilege, approval ...

Durable Functions, Temporal, Camunda or similar), decision tables (DMN), message backbones and CQRS-style read models. Practical, current knowledge of AI: LLMs, retrieval-augmented generation, agent patterns, and what it takes to run them safely over commercial customer data. Knowledge of the wider Microsoft ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

fast-growing function from an early stage. The Role You will: Build and fine-tune LLM-powered applications and services Develop and optimise RAG pipelines Deliver style and tone modelling solutions to improve LLM outputs Support personalisation, summarisation, and real-time generation initiatives Work closely with product, engineering ...

Neo4j/Knowledge Graph experience Experience with Vector Databases, Search or Indexing Strong understanding of data modelling and governance Experience supporting AI, LLM or RAG use cases Nice to have: Enterprise Knowledge Management/Knowledge Base experience Semantic Search Large-scale Search platforms AI/LLM and RAG experience Financial ...

building and taking AI solutions into production, working predominantly with Python, React and AWS . The work will include building applications using LLMs , developing RAG pipelines , working with AI agents/agentic workflows , and integrating AI capabilities with existing applications and data. What we're looking for Strong Python development … experience Hands-on experience building Generative AI/LLM applications Experience with RAG pipelines Understanding of AI agents/agentic workflows AWS experience Experience taking applications into production You'll need to be comfortable working closely with both technical and business teams, and able to take fairly open-ended problems ...

Integrate agents and applications with existing client platforms using Microsoft Graph, REST APIs and Azure services Design solutions involving knowledge retrieval, RAG, document processing and autonomous workflows Advise clients on AI security, governance, identity and deployment considerations Contribute to technical documentation, development standards and solution architecture Work across … Platform , particularly Power Automate and Power Apps Microsoft 365 Copilot and the wider M365 ecosystem Microsoft Foundry/Azure AI services Azure AI Search, RAG and generative AI solutions Conversational AI, agentic AI and autonomous workflows Microsoft Graph and REST API integrations Dataverse, SharePoint and Teams Entra ID, app registrations ...

powered features within a modern C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams … looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest in Applied AI and solving real-world product problems. ...

leadership across a multidisciplinary AI engineering team Shape the architecture and technical direction for AI across the product suite Lead the delivery of LLM, RAG and agentic AI solutions Take ideas from discovery and proof of concept through to production Establish standards for evaluation, security, observability, governance and cost control … ability to lead others, make architectural decisions and communicate technical trade-offs clearly to non-technical stakeholders. Experience with Azure OpenAI, Azure AI Search, RAG, agentic workflows, Semantic Kernel or Microsoft Agent Framework, vector databases, evaluation frameworks and responsible AI controls would be particularly useful. Salary and benefits ...

pitches and proposals. Technical Delivery & Innovation Familiarity and experience with AI concepts and techniques, such as large language models, machine learning, or Retrieval-Augmented Generation models. Experience or desire to grow capability in using AI to support insight workflow optimisation or automation, looking ...

attention to detail. Ability to work effectively within Agile squads and cross-functional environments. Desirable: Exposure to AI testing methods (e.g., validating LLM outputs, RAG consistency, AI behaviour evaluation). Experience using AI-powered QA tools or test-generation frameworks. Knowledge of cloud environments (AWS/Azure ...

hackajob is partnering directly with Google to hire for this role. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond … continue to push technology forward. AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else. Our mission is to improve the quality of models that Google releases ...