151 to 162 of 162 Retrieval-Augmented Generation Jobs in the UK

engagement faster than the last. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

doing Building AI applications, copilots, agents and automated workflows Developing solutions using Azure OpenAI, Azure AI services and Copilot Studio Building RAG and enterprise search solutions using internal business data Connecting AI solutions into platforms such as Microsoft 365, SharePoint, Dataverse and other business systems Working with APIs, connectors … Microsoft ecosystem. Ideally, your background will include several of the following: Azure OpenAI Azure AI Foundry Copilot Studio Microsoft 365 Copilot Azure AI Search RAG/knowledge-grounded AI applications AI agents and agentic workflows Microsoft Fabric Power Platform Azure Functions/Logic Apps APIs and system integrations Python, C# ...

Digital & AI capability Design, develop and deliver AI-powered applications and automation solutions Build and integrate solutions using LLMs, AI agents and RAG architectures Define development standards, engineering frameworks and best practices Provide technical governance to support safe and scalable AI adoption Mentor developers and support technically focused citizen developers … Node.js, Next.js or similar frameworks AWS cloud experience Experience building AI-enabled applications or automation solutions Knowledge of LLMs, prompt engineering, AI agents or RAG architectures Strong understanding of software architecture and engineering best practice Experience mentoring engineers and influencing technical direction Excellent communication skills with both technical ...

real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

hands-on with customers, owning projects. Key Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer ...

culture where engineering teams own products throughout their lifecycle and deployments occur continuously throughout the day. They are also investing heavily in next-generation product capabilities making this an excellent opportunity for somebody who has already applied AI-driven technologies within commercial within software products. What … Commercial experience delivering Agentic AI capabilities into production environments is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Previous experience within a SaaS business would be highly desirable. What you'll get in return ...

Design, build and deliver AI-powered applications and automation solutions Integrate LLMs and AI services into real-world applications Work with AI agents, RAG architectures and orchestration Help define the technical direction of a new Digital & AI capability Build the controls, observability and governance needed to use AI safely … LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js, React, Next.js ...

AI Data & Semantic Engineer l London | 2 days in London a week | £580-£600 per day | Outside IR35 | 12-month contract We're looking for a hands-on AI Data & Semantic Engineer to help a ...

world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating … strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing ...

world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating … strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing ...

platforms. Identify opportunities to apply AI across alert triage, threat intelligence, incident investigation, detection engineering and reporting. Evaluate AI approaches, including Generative AI, LLMs, RAG and agentic AI. Conduct technical feasibility assessments and build-versus-buy analysis. Define AI integration patterns, security controls and human-in-the-loop requirements. Assess … architectural recommendations and a phased implementation roadmap. Essential Skills & Experience Strong experience in AI Solutions Architecture and technical design. Knowledge of Generative AI, LLMs, RAG and agentic AI. Understanding of cyber security operations and SOC environments. Experience with SIEM, SOAR, EDR/XDR and security tooling integrations. Knowledge of data ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...