126 to 136 of 136 Retrieval-Augmented Generation Jobs in England

commercial models such as licensing, entitlement, packaging or pricing is an advantage Familiarity with how AI applications consume content, for example retrieval-augmented generation, agents, or text and data mining, is a plus Superb verbal, written, and interpersonal communication skills and a demonstrated ability ...

teams deploy to production daily and take ownership of the products they build throughout their lifecycle. The organisation is investing heavily in next-generation product capabilities, particularly around AI-driven development and Agentic AI. As a result, you'll have the opportunity to influence how modern AI technologies … data, microservices environment. Experience delivering Agentic AI capabilities is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Strong stakeholder engagement skills are also important, as you'll regularly work with Product teams, engineering leadership and business ...

solutions for client projects. 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 Keeping … 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 ...

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# ...

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 ...

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 ...

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 ...