851 to 875 of 890 Retrieval-Augmented Generation Jobs in England

products, architecture and future AI roadmap. What you'll do Build AI-powered features within existing C#/.NET products Develop LLM solutions using RAG, agentic workflows and Azure AI Take ideas from proof-of-concept through to production Help shape technical decisions and the wider AI strategy Improve … moved beyond experimenting with AI and can demonstrate something you've genuinely delivered into production. Experience with Azure OpenAI, Azure AI Search, RAG, Semantic Kernel, vector databases or Python-based AI tooling would be particularly valuable. What's in it for you? Up to £70,000 plus bonus Mostly remote ...

Opportunities 👉AI Engineer You’ll focus primarily on designing and building AI-powered applications and systems. This could include generative AI, agentic workflows, RAG, machine learning solutions and intelligent automation. You’ll work across the full engineering lifecycle, from experimentation and prototyping through to testing, deployment and ongoing improvement. 👉Forward … pathway, you’ll: Design, build and deploy production-ready AI solutions Develop applications using Python and modern AI technologies Work with generative AI, LLMs, RAG, agents and automation Turn business requirements into practical technical solutions Build prototypes and take successful concepts into production Test, evaluate and improve the reliability ...

data-intensive, fast-moving engineering org — and has the range to show for itCan credibly walk into a conversation about data pipeline architecture, RAG evaluation, API design, or system scalability — and add something useful in all of themOwns problems, not just opinions. You're not here to review and advise … themTechnical bar:Deep experience with complex data modelling, entity resolution, and data pipelines in production environmentsProven experience designing and shipping AI/LLM systems — RAG, structured extraction, evaluation frameworks — beyond the prototype stageStrong backend and distributed systems knowledge: APIs, service architecture, scalability, observabilityExperience making and owning foundational architectural decisions that ...

launch and architecting AI systems on cloud platforms (e.g., GCP).Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience leading technical discovery sessions with customers.Active, or the ability to obtain, a Security Check (SC) UK security clearance.Preferred qualifications … launch and architecting AI systems on cloud platforms (e.g., GCP).Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience leading technical discovery sessions with customers.Active, or the ability to obtain, a Security Check (SC) UK security clearance. ...

About Nexus Black IFS Nexus Black builds AI to solve hard problems for the industries that keep the world turning: up on power lines, down on factory floors, and out in the field. Our products ...

Star" for tech people involved in the implementation of AI related solutions.Provide technical oversight and architecture reviews for AI related projects.Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).Collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses … business requirements with engineering execution. Experience with enterprise-scale systems, security standards, and AI governance is critical.Skills:Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks. Strong technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure ...

Star" for tech people involved in the implementation of AI related solutions.Provide technical oversight and architecture reviews for AI related projects.Monitor emerging AI patterns (RAG, Fine-tuning, Multi-agent systems).Collaborate with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses … business requirements with engineering execution. Experience with enterprise-scale systems, security standards, and AI governance is critical.Skills:Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks. Strong technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure ...

this engine, from planning the research approach to orchestrating the tools and models that turn a question into a referenced answer. The next generation will plan its own research more deeply and reason over more kinds of sources. It will answer questions we cannot answer today. You will … title: strong candidates may come from product management, engineering leadership, or applied AI backgrounds.Deep expertise in generative AI products, including retrieval-augmented generation, agentic workflows, and how they are evaluated. This is central to the role.Proven ability to independently drive product strategy and execution ...

with cross-functional teams to translate strategic priorities into robust technical implementations. You will work on cutting-edge AI technologies, including LLMs, retrieval-augmented generation, and orchestration, ensuring reliability, security, and cost efficiency across #J-18808-Ljbffr ...

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 ...

will build scalable components, integrate with enterprise systems, and implement secure AI practices within a modern cloud-native stack. The role focuses on RAG architectures, vector databases, embeddings, and retrieval optimization, with emphasis on observability, governance, and reusable code assets. Collaborative, cross-functional work is expected. #J ...

need of a Python engineer to support a customer with building an AI Chatbot using Python and LlamaIndex. Key Technologies: Python 3.12+ LlamaIndex/RAG Azure AI Foundry/OpenAI Typesense/Vector Search PostgreSQL/Pydantic Plotly Dash Key Duties: Develop and enhance production-grade Python AI applications … chatbot capabilities. Build and improve RAG pipelines, retrieval and document search. Extend LlamaIndex agents, workflows, retrievers and tool-calling capabilities. Integrate LLMs, APIs, databases and structured organisational data. Improve AI answer quality, citations, performance, security and reliability. Deliver well-tested, documented code and support technical handover. Key Requirement ...

need of a Python engineer to support a customer with building an AI Chatbot using Python and LlamaIndex. Key Technologies: Python 3.12+ LlamaIndex/RAG Azure AI Foundry/OpenAI Typesense/Vector Search PostgreSQL/Pydantic Plotly Dash Key Duties: Develop and enhance production-grade Python AI applications … chatbot capabilities. Build and improve RAG pipelines, retrieval and document search. Extend LlamaIndex agents, workflows, retrievers and tool-calling capabilities. Integrate LLMs, APIs, databases and structured organisational data. Improve AI answer quality, citations, performance, security and reliability. Deliver well-tested, documented code and support technical handover. Key Requirement ...

need of a Python engineer to support a customer with building an AI Chatbot using Python and LlamaIndex. Key Technologies: Python 3.12+ LlamaIndex/RAG Azure AI Foundry/OpenAI Typesense/Vector Search PostgreSQL/Pydantic Plotly Dash Key Duties: Develop and enhance production-grade Python AI applications … chatbot capabilities. Build and improve RAG pipelines, retrieval and document search. Extend LlamaIndex agents, workflows, retrievers and tool-calling capabilities. Integrate LLMs, APIs, databases and structured organisational data. Improve AI answer quality, citations, performance, security and reliability. Deliver well-tested, documented code and support technical handover. Key Requirement ...

architecting AI systems on cloud platforms (e.g., GCP).Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.Experience developing and deploying multilingual natural language processing models.Preferred qualifications:Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.Experience in debugging … architecting AI systems on cloud platforms (e.g., GCP).Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.Experience developing and deploying multilingual natural language processing models. ...

London, London, City of (GB-LND), United Kingdom (GB).Job Title: Agentic Platform LeadExperience: 10+ years (5+ years in AI/LLM platforms, RAG, or agentic systems)Role OverviewWe are seeking an Agentic Platform Lead to design and deliver the consumption layer for AI agents, defining how agents query, interpret … interact with knowledge graphs and enterprise data.This role will focus on tool-calling schemas, RAG pipelines, and context strategies, ensuring scalable, reliable, and low-hallucination AI systems. The role also requires strong leadership, including coaching, mentoring, and building internal team capabilities.Key ResponsibilitiesAgentic Architecture & DesignDesign the agent consumption layer for querying ...

directly shape how millions of legal professionals research, analyze, and reason over complex legal documents while advancing the capabilities that enable the next generation of intelligent legal AI agents.You will work across semantic chunking, document enrichment, intelligent classification, information extraction, knowledge graph construction, and tabular data understanding … extract insights from complex tabular data embedded within legal, tax, regulatory, and accounting documentsCreate document intelligence capabilities that support downstream search, retrieval, RAG, and agentic AI workflowsDesign robust evaluation frameworks for document understanding systems using expert annotations, synthetic datasets, and production metricsLead technical decisions on document analysis architectures ...

required format and quality, and use the results to improve the solution. Partner with engineering and AI specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs. Design human-in-the-loop controls for cases where AI confidence, safety risk, or operational … workflow automation, decision support, diagnostics, or intelligent self-service. Strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, and AI observability. Fluency with evals: defining what good output looks like, building eval sets to check that outputs meet the required format and quality ...

roadmap priorities and adoption patterns.2. Evaluation, prototyping and demonstration:Explore safe and secure patterns for the usage of core AI technologies - including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.Evaluate, prototype and implement technology solutions that provide the controls, guardrails and observability needed … with platforms such as BricksLLM, LiteLLM, custom API gateways or equivalent gateway/routing layers.Hands-on experience with applied AI technologies such as LLMs, RAG, embeddings, vector databases, model orchestration, agents, MCP servers, tool-calling or AI evaluation frameworks!In Return:This is a chance to help build ...

least 8+ years of product management experience Do you have a wealth of e xperience with AI/ML products, especially generative AI, RAG, or agentic workflows Join us to shape how researchers build on their own knowledge with AI.Location: UK (London) or Amsterdam. Remote-first with periodic in-office … project spaces. We're looking for a Senior Product Manager with deep product judgment, hands-on experience with AI/ML products (generative AI, RAG, or agentic workflows), and the instinct to work from customer evidence alongside data science. UK (London) or Amsterdam ; remote -first with periodic in-office collaboration.About ...

building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. As an AI Product Manager at the AI for Operations team, you will leverage your … through execution and launch Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks Great communication skills Preferred Qualifications Advanced degree in Computer Science, engineering, or related field Proven track record of delivering and launching successful ...

have 8+ years of product management experience Do you have hands-on experience with AI/ML products, especially generative AI, RAG, or agentic workflows Join us to shape how researchers build on their own knowledge with AI. Location: UK (London) or Amsterdam. Hybrid with periodic in-office collaboration. About … trade-off under questioning, and articulate the user outcome, not just the feature list. Experience with AI/ML products, especially generative AI, RAG, or agentic workflows. This is central to the role. Proven delivery leadership within a squad: you keep a backlog healthy, sequence work well, and ship steadily ...

models including OpenAI, Anthropic and Gemini • Shape agentic AI architectures, including multi-agent systems, tool calling, orchestration and human-in-the-loop approaches • Design RAG, vector database, semantic search and enterprise knowledge solutions • Support technical proposals, solution estimates and customer presentations • Contribute to architecture governance, security, responsible AI and technical … data, analytics or digital transformation • Practical understanding of generative AI and selecting appropriate models for enterprise use cases • Experience designing agentic AI and RAG-based solutions • Strong API-led and event-driven architecture knowledge • Experience integrating modern solutions with enterprise platforms and services • Confidence discussing architecture trade-offs with both ...

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, Client … Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider ...

develop AI-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 to deliver … ServerREST APIsMicroservicesDockerWhat we're looking forStrong 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.What ...