876 to 889 of 889 Retrieval-Augmented Generation Jobs in England

early stage.Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing evaluation frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership … product from 0 to 1 Experience owning architecture, product decisions, and implementation Strong backend engineering experience with API-first products Hands-on experience with RAG and production AI systems Understanding of token usage, model evaluation, and cost optimisation Ability to operate autonomously in a startup environment Strong communication and stakeholder ...

strategy, roadmap and architecture. Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation and implementation guidance. Drive internal … responsible AI practices. Key Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured data, APIs, search ...

strategy, roadmap and architecture. Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation and implementation guidance. Drive internal … responsible AI practices. Key Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured data, APIs, search ...

schema evolution and version controlGraph Change ManagementAct as the authority for all structural changesManage schema, relationship, and property updatesDefine and enforce change control processesGraph RAG & AI EnablementDesign Graph RAG retrieval strategiesIntegrate knowledge graphs with LLMs and AI systemsOptimize context generation for AI use casesAPI & Consumption LayerDesign … teamsTranslate requirements into semantic modelsProvide thought leadership on graph adoptionRequired SkillsNeo4j Schema Design (Cypher, property graph modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData ...

software Experience building with LLMs, AI agents or agent frameworks — professionally or through serious personal projects An understanding of concepts such as tool calling, RAG, agent orchestration, context management or multi-agent systems Strong problem-solving ability and the desire to work on technically difficult, ambiguous problems The ability … technology is heading are very much encouraged to apply. What you’ll get in return Cutting-edge AI: Work directly on the next generation of AI software rather than simply consuming existing models Technical ownership: Have a genuine say in how the company's agent architecture evolves Hard ...

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 ...

driving delivery with customers. Hands-on experience designing, building, and deploying custom AI solutions to production. Strong experience with agentic AI, LLM-based workflows, RAG, and enterprise integrations. Experience preparing and structuring enterprise data for AI use cases, including unstructured and semi-structured data. Solid understanding of AI governance, security … looking for passionate, talented, and motivated people to join us as we empower organizations to build, deploy, and scale the next generation of enterprise software. While we are leading the charge into the agentic era, our mission is broader: we are the platform enterprise leaders trust to evolve ...

trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help … need:Experience building products within AI, platform, developer tooling, automation or workflow environments.A good understanding of modern AI technologies, including LLMs, agent frameworks, RAG patterns and API-driven products.Curiosity about how AI agents are designed, built and deployed.Experience using data, experimentation and customer insight to shape product decisions.Confidence partnering with ...

opportunity to influence the technical direction of a newly formed AI Lab. Key Responsibilities • Build and deploy production-grade LLM systems • Design and optimise RAG and retrieval workflows • Fine-tune models for tone, style, and output quality • Develop audio-first AI products using TTS/STT workflows • Build … greenfield environment Key Details • Salary: Up to ~£120k base • Working model: Hybrid (3+ days/week in London) • Stack: Python, HuggingFace, LangChain, RAG, multimodal AI, TTS/STT, evaluation frameworks • Sponsorship: To be confirmed Interested? Please apply below. ...

Expedia Group is seeking a Product Manager III to help build the next generation of AI-powered analytics experiences that enable employees to discover insights, make decisions faster, and unlock more value … from data. You will define product strategy and roadmaps for analytics and AI-enabled products, partnering with engineering to create intelligent experiences using LLMs, RAG, and conversational interfaces. #J-18808-Ljbffr ...

across multiple business divisions, identifying, prioritising and implementing AI opportunities that drive measurable outcomes. Current initiatives span conversational AI, voice AI, knowledge management and RAG-based solutions. This role offers the opportunity to influence AI adoption at scale across commercial growth functions. Role As a Senior AI Product Owner … initiatives across commercial functions Develop business cases, value hypotheses and success metrics for GenAI solutions Drive adoption of Conversational AI , Voice AI and RAG -based capabilities Partner with stakeholders to deliver measurable outcomes across pricing, marketing and subscriptions Coordinate implementation with AI specialists, engineers and delivery teams Track business impact ...

digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skills 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). Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines. ...

Economist Group AI Lab is seeking a skilled NLP/LLM engineer to fine-tune models, curate datasets, and build RAG pipelines using structured content. You will prototype TTS pipelines for audio-first products and collaborate with editors to align generation with the editorial voice. You will define … generation quality metrics, work with infra, frontend, and design to ship internal tools, and contribute to demos exploring GenAI capabilities while upholding editorial and ethical standards. #J-18808-Ljbffr ...

SLAsOwn vendor relationships and platform budgetRequired Skills and Experience:Hands-on knowledge of AI technologies (for example MCP servers, skills, model orchestration, retrieval-augmented generation, vector databases, agentic enablement).Experience building and leading platform, infrastructure or developer tooling teams.Experience delivering and operating mature ...