101 to 125 of 137 Semantic Search Jobs in the UK

production Excellent problem-solving skills and a passion for continuous learning Desirable Experience TypeScript, Java, Go, or C# development experience Exposure to LLMs, RAG, semantic search, agentic workflows, or AI integrations Experience evaluating or monitoring AI systems Personal AI projects, open-source contributions, or experimentation with AI technologies ...

deployed a full stack GenAI MVP with a React frontend and FastAPI backend* Facilitated an architecture spike to evaluate vector database options for semantic search* Contributed a new section to our internal AI playbook* Helped write this job req**What to know before you apply*** This role will ...

optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources ...

content platforms, AI-enabled services and emerging digital channels Shape AI-enabled digital services, applying approaches such as LLMs, retrieval-augmented generation, intelligent agents, semantic search, tool calling and workflow orchestration where they provide genuine value Bridge UX and engineering, translating user needs, service journeys and design principles … similar; Content management platforms such as Drupal, WordPress or similar; Kubernetes, Docker and cloud-native technologies; Relational and non-relational databases, vector databases, enterprise search or knowledge graphs; Workflow automation and orchestration platforms; Conversational, assistant or agent-based user experiences; Scientific, research, data-intensive or information-rich digital services ...

through production, leveraging Azure/OpenAI, AWS Bedrock, Vertex AI, and open-source LLMs. You will develop scalable Python services, RAG-based pipelines, and semantic search capabilities, while mentoring engineers and contributing to reusable AI #J-18808-Ljbffr ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

involved inBuild cloud applications, customer portals, APIs and integrations that turn complex data into useful products.Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents.Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing, security and maintainability.Replace ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

mindset: you can build reliable pipelines, not just notebooks. Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Are comfortable at scale: distributed processing, large-scale storage‐querying, and performance ...

collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent ...

agents with external tools, APIs, databases, and enterprise systems. Integrate knowledge sources and implement retrieval-based solutions, including Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval. Design and optimize database structures using PostgreSQL, DynamoDB, and other suitable data storage technologies. Deploy, monitor, and maintain applications … Familiarity with MCP servers, MCP clients, tool integrations, and connecting AI agents to external systems. Understanding of knowledge retrieval, RAG, embeddings, vector databases, and semantic search. Strong understanding of SQL and NoSQL databases, preferably PostgreSQL and DynamoDB. Hands-on experience with AWS services such as Lambda ...

standards such as MCP. Direct experience with working with agent and tooling ecosystems such as MCP/A2A servers and clients, LangChain or LangGraph, Semantic Kernel or comparable skill and tool frameworks. Experience defining guardrails, permissions and safety controls for autonomous or semi-autonomous systems and making them part … orchestration and data interoperability, with the ability to hold a credible technical conversation with senior engineers. Experience with data and knowledge platforms - retrieval, embeddings, semantic search, taxonomy and grounding against enterprise content. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That ...

management experience, with at least 2+ years on data, platform, or AI/ML products Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools Deep expertise in artificial intelligence, with a track record … lieu of a formal degree Responsibilities Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications. Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization Lead ...

/CD. Strong diagnostic skills and sound technical judgement. Some practical experience of AI development tools and LLM-based features, including retrieval, semantic search or agents. The ability to guide technical discussions and support colleagues. The technology stack includes Vue 3, PostgreSQL, Azure DevOps and real‐time messaging. ...

infrastructure, or performance-analysis platforms. Background with MCP, structured tool calling, agent orchestration, or retrieval-augmented generation. Experience designing secure, enterprise-scale retrieval or semantic-search systems. Familiarity with LLM evaluation, grounding, observability, and hallucination reduction. Knowledge of GPU architecture, graphics APIs, game engines, or application-performance optimization. ...

securities or financial services industry is a plus. Strong foundational understanding of modern AI and agentic application patterns, including retrieval-augmented generation (RAG), semantic search, and agent-based system design. Hands-on experience building backend services, APIs, and production systems. Experience working across architecture, data, and platform concerns ...

streamline operations. Initially, you will be focused on developing solutions to support our ESG and Stewardship functions with a heavy focus on content extraction, search and principals-based reasoning with LLMs. Your technical expertise will drive impactful results, and you’ll play a key role in shaping our data … internal stakeholders to understand business needs, build out requirements, and design technical architectures Develop technical solutions utilising LLMs with a focus on problems involving search, content extraction and principal-based reasoning Build comprehensive evaluation packages to ensure the efficacy and reliability of solutions and to build trust with stakeholders ...

detail, and a clear contract between the two. Practical experience with data governance operating models: ownership and stewardship roles, sensitivity classification, metadata quality measurement. Semantic layer design: business glossaries and concept registries, resolution of term conflicts between departments, entity resolution, knowledge graph modelling; design-level knowledge of graph databases. … support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset management, market data or fund reporting. Experience in on-premise or regulated environments ...

services. You will translate business needs into scalable AI-powered software and guide cross-functional teams. You will drive adoption of LLMs, RAG, semantic search, and AI orchestration, mentor engineers, and help build a center of excellence for responsible AI across Aura solutions. #J-18808-Ljbffr ...

documents.Experience with agentic and LLM frameworks.Strong understanding of agentic patterns including tool use, planning, memory, and reflection.Experience with retrieval-augmented generation, vector databases, and semantic search systems. #J-18808-Ljbffr ...

efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models ...

deployment and continuous improvement of Data Science developments. Oversee the evolution of AI-powered product capabilities, including personalized recommendations, the automated daily digest feature, semantic search and future content discovery innovations. Ensure that Data Science initiatives are prioritized according to their expected impact, feasibility and alignment with Cafeyn ...