751 to 775 of 859 Retrieval-Augmented Generation Jobs in the UK

governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models).Client Engagement … including serverless patterns and appropriate integration components).Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A).Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled ...

GStreamer, NVIDIA NeMo). Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation). Prototype and optimize codec-aware inference workflows to improve accuracy, latency, and cost. Requirements: Strong Python: Proven commercial experience writing clean, scalable … GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security ...

Claude Code, Codex, Kiro), governance, and cybersecurity. You will bridge the gap between frontier AI capabilities (large language models, multimodal foundation models, retrieval-augmented generation, speech-to-speech models) and real-world energy environments, from operational productivity to developer platforms and real-time trading ...

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 … 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 ...

Azure (azure Open AI service, Cosmos DB)PythonLangGraphNeo4j/cypherOther coding languages/frameworks e.g. Java/.NetAI RAG (retrieval augmented generation)Graph RAGFew shot detectionEmbedding models/LLMs - how they work, how they are trained Who we are: We're a business with ...

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 ...

building and fine-tuning LLM-powered systems with a particular focus on editorial tone, style transfer, retrieval workflows, and multimodal generation (especially audio). You'll ship products from zero-to-one and see your ideas directly influence how millions of readers interact with our journalism. … tone alignment with our editorial voice Design, curate, and manage datasets used for fine-tuning, including versioning and annotation workflows Build and evaluate RAG pipelines that incorporate retrieval from structured content Prototype and test TTS (text-to-speech) pipelines for use in audio-first products (leveraging tools like ...

chosen and the result measured against clear success criteria. Leading the design of generative and agentic AI solutions, including prompting, retrieval augmented generation, tool use and multi-step agent workflows, and the techniques needed to make them accurate and reliable. Selecting the right approach … governance forums. What you need to haveStrong, hands-on expertise with large language models and generative AI, including prompt engineering, retrieval augmented generation, fine tuning, and the design and evaluation of agentic systems that use tools and operate over multiple steps. Strong programming ability ...

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 ...

testing and production readiness. Test APIs and integrations across internal and external services. Validate AI-generated outputs for accuracy, relevance, consistency and grounding. Assess RAG and retrieval performance, ensuring relevant information is retrieved and used appropriately. Establish repeatable evaluation approaches and datasets for AI-enabled functionality. Work with … tooling such as Jira or Azure DevOps. Good technical understanding of web applications, APIs and modern application architectures. Experience testing Generative AI, LLM or RAG solutions would be highly desirable. Understanding of AI evaluation concepts including groundedness, relevance, hallucination testing and retrieval quality. Strong analytical, problem-solving ...

ensuring successful business adoption. The role will suit someone who can combine strategic AI leadership with practical delivery experience across GenAI, LLMs, Agentic AI, RAG, enterprise automation, responsible AI, cloud platforms, and operating model transformation. Key Responsibilities Lead enterprise AI and GenAI delivery programmes from strategy to implementation. Define … cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery of LLM, RAG, Agentic AI, Conversational AI, and multi-agent solutions. Lead vendor selection, programme mobilisation, stakeholder management, and delivery governance. Work with executive stakeholders to align ...

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 ...

Claude Agent SDK, wiring and steering agent loops. Author custom skills and slash commands for Claude Code to codify team-specific workflows. Implement RAG pipelines and integrate vector stores (e.g. Qdrant, pgvector, Pinecone) to ground agent outputs in trusted data. Instrument agents for evaluation and observability so their outputs … Code to codify team-specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g. Qdrant, pgvector, Pinecone).Awareness of AI-specific risk areas relevant to a regulated environment (OWASP LLM Top 10, hallucination ...

Build AI workflows in Azure AI Foundry (project spaces, model registry, prompt flow, safe deployment) Develop and deploy LLMs via Azure OpenAI and implement RAG with Azure AI Search Create and integrate Copilot agents (Copilot Studio/M365 Copilot) and AIpowered apps/services Set up CI/CD, monitoring … generative AI/LLM experience on Azure Handson with Azure AI Foundry/Azure AI Studio and Azure OpenAI Strong Python, API integration, and RAG/vector search skills Familiarity with Copilot Studio or M365 Copilot is a strong plus. #J-18808-Ljbffr ...

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 ...

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 ...

rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly … write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers ...

rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly … write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers ...

capability while setting clear objectives and priorities.* Oversee the design, delivery, and ongoing support of high-quality AI solutions including generative AI models, RAG-based architectures, agentic systems, and machine learning applications.* Collaborate closely with Digital Transformation teams and business stakeholders to understand requirements, shape opportunity pipelines, translate demand into … within complex organisations—demonstrating empathy for your colleagues' development while maintaining high standards of accountability. Your expertise spans designing advanced generative AI systems leveraging RAG architectures/vector databases/model evaluation frameworks/LLMOps practices alongside deep familiarity with cloud platforms like Azure/AWS. You possess thorough knowledge ...