1 to 25 of 78 Semantic Search Jobs in London

scientific discovery, research intelligence, and editorial workflows. Working across the full model lifecycle, you will apply techniques such as machine learning, deep learning, RAG, semantic search, agentic AI, and knowledge systems to solve complex business and research challenges. The role requires strong technical expertise, sound judgement in selecting … scientific information. In this role you will: Design, develop, and deploy advanced AI, machine learning, NLP, and generative AI solutions, including LLM-powered applications, semantic search, retrieval-augmented generation (RAG), agentic workflows, and scientific knowledge discovery systems. Build and optimise intelligent research and decision-support capabilities using embeddings ...

anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. Spotify Search handles billions of queries across every market, language, and content type — music, podcasts, audiobooks, videos, playlists, and more. We’re looking for a Principal … Product Manager to lead the Search Personalization within our Conversation Product Area, setting the product strategy for how hundreds of millions of users find and discover content on Spotify. This is a leadership role at the intersection of search systems, AI, and user experience. ...

work. Join us and build for travelers everywhere. About the role We’re looking for a Product Manager to own the end-to-end Search Results Page platform at Expedia Group. You’ll shape how travelers discover, compare, and select properties across web and mobile experiences, partnering across Search, Engineering, Design, Analytics, Machine Learning, and brand teams. This role sits at the intersection of customer experience, search relevance, marketplace outcomes, and emerging AI capabilities, including Natural Language Search and explainable search results. What you’ll do Own the platform vision, roadmap ...

compliance programs. To learn more about Comply, visit comply.com About the role Comply is looking for a Senior AI Data Engineer to turn our semantic data models into the knowledge graphs, vector search, and LLM-powered pipelines that make Comply’s financial and regulatory data genuinely AI-ready. … providers across the US and beyond. The Comply Data Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next-generation ...

Role: AI Commerce Search Sr. Engineer/Architect Location: London Level: Associate Manager About Accenture Song Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy … scale. Visit us at: www.accenture.com/song About the role AI is rewriting how people find and buy. Discovery is shifting from keyword search boxes to conversational, agent-mediated experiences - across both a brand's owned platforms and the AI surfaces where customers increasingly begin their journey. ...

meaningful work of your career and see your impact at scale.Job Description:Job SummaryWe are looking for a Product Engineer to join our AI Search and Retrieval Context Engineering as we build the next generation of legal AI experiences for law firms.This is not a traditional front-end developer … expectation is broader than UI delivery. You will work close to lawyers, knowledge teams, innovation teams and technical stakeholders to understand how AI search, retrieval and agents should fit into real legal workflows.We are not building another disconnected AI chatbot. We are building trusted AI experiences that ...

applicant will be penalized as a result of such a request. Job Summary We are looking for a Product Engineer to join our AI Search and Retrieval Context Engineering as we build the next generation of legal AI experiences for law firms. This is not a traditional front … expectation is broader than UI delivery. You will work close to lawyers, knowledge teams, innovation teams and technical stakeholders to understand how AI search, retrieval and agents should fit into real legal workflows. We are not building another disconnected AI chatbot. We are building trusted AI experiences that ...

credentials and adjacent platform experience will be considered. The Work Architecture & Design Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across ...

credentials and adjacent platform experience will be considered. The Work Architecture & Design Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across ...

agent patterns, LLM-powered applications, retrieval-augmented generation (RAG) systems, and orchestration pipelines applied to commerce use cases such as personalisation, conversational commerce, intelligent search, and merchandising optimisation Architecting the integration between agentic AI systems and enterprise platforms — including OMS, PIM, CRM, payments, and fulfilment — via APIs, event-driven … reasoned technical point of view grounded in delivery experience Designing the knowledge and data architecture that underpins agent intelligence — including embedding pipelines, vector retrieval, semantic search, and structured product data — ensuring agent outputs are accurate, grounded, and commercially reliable Embedding AI governance, observability, and responsible AI principles into ...

reviews and debugs code written by others, with a focus on cloud-based systems using AWS and Python. Implements and optimizes RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Drives decisions that influence the product design, application functionality, and technical operations and processes. … specifically with AWS. Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field. Preferred qualifications, capabilities, and skills Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Proven track record of proposing solutions independently and owning execution ...

Opus Recruitment Solutions Limited is partnering with a global organisation in London to recruit a Data Scientist for AI-powered knowledge discovery, intelligent search, and scientific insight generation. The role focuses on hands-on work with LLMs, retrieval systems, semantic search, NLP and embeddings, plus building ...

Sanity Dashboard, Slack, Linear and a headless API. Sanity Context (including Knowledge Bases ) is an MCP endpoint that gives any agent structured retrieval and semantic search over a team's live content, whether it be Sanity Documents or your own federated content from outside Sanity. We're looking … sources into documents and chunks. Develop how knowledge bases are created, kept fresh and scoped, and how agents query them using GROQ, keyword and semantic search together. MCP endpoints and tools give agents their interface to our systems. You'll build these, along with tools and integrations that ...

organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI‐powered research assistant, as well as Elsevier’s broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation … experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role: We are looking for a Senior Data Scientist I to help design, build, and evaluate advanced AI capabilities powering LeapSpace. This role will focus heavily on applied AI research and development, including prototyping intelligent ...

your role Enterprise AI is forcing organisations to rethink their data estates. Data platforms designed mainly for reporting are often not enough for GenAI, semantic search, agentic workflows and AI-enabled decision-making. Clients now need data that is trusted, governed, contextualised and consumable by both people … help clients transform fragmented data estates into AI-ready foundations, advising on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns. This is a consulting role, not a purely internal architecture role. You will diagnose ...

organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems Generative AI and LLM applications AI evaluation … experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflows About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development ...

tools and data capabilities that allow AI agents to securely access, understand and use data. A key initial focus will be creating reusable search, retrieval and agentic capabilities that enable sophisticated internal research and automation using corporate data. You will also contribute to the wider development of GenAI capabilities … Help develop reusable tools that enable AI agents to securely discover, retrieve and use corporate data, including data held within our corporate data warehouse. Search & Retrieval: Develop semantic, vector and hybrid retrieval capabilities across structured and unstructured enterprise data. MCP & Agent Tooling: Build MCP servers, APIs and reusable ...

discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within … Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical ...

someone who can combine technical depth with architecture-level thinking. You should be confident designing AI platforms, RAG systems, LLM applications, multi-agent workflows, semantic retrieval solutions, and MLOps pipelines for regulated or enterprise-scale environments. Key Responsibilities Design enterprise AI architectures using GenAI, LLMs, RAG, agentic AI, vector … databases, and cloud-native platforms. Define scalable architecture patterns for production AI applications. Lead solution design across semantic search, document intelligence, AI assistants, knowledge retrieval, workflow automation, and decision support systems. Build architecture approaches for retrieval orchestration, embeddings, reranking, grounding validation, observability, and evaluation frameworks. Work with engineering ...

LLMs including prompting techniques, embeddings, and RAG architectures Experience building and deploying AI agents or autonomous systems in production Knowledge of vector databases and semantic search systems Contributions to open‐source AI/ML projects Infrastructure Guru Experience with containerization (Docker, Kubernetes) and CI/CD pipelines Experience ...

statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit‐Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems. Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users. Strong understanding of model … evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud‐native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations ...

enterprise data, APIs and business workflows. Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval platforms. Agentic AI applications and multi-agent workflows. AI-powered search and automation platforms. Internal AI Engineering Platforms, reusable templates and developer enablement tooling. Cloud-native applications deployed on Azure and AWS. Examples … Application Monitoring and Observability. Highly Desirable Public Sector experience. Central Government programme experience. Active SC Clearance. Agentic AI and Multi-Agent Systems. SharePoint integrations. Semantic Search and Vector Search. AI Search and Knowledge Management platforms. AI Governance and Responsible AI. Domain Driven Design (DDD). CQRS. Event ...

with cloud platforms to support scalable AI deployment. Integrate GenAI features into existing products, platforms, and business systems. Build and maintain data pipelines, vector search, embeddings, and knowledge retrieval workflows. Support experimentation, model evaluation, testing, monitoring, and optimisation. Work with software engineering teams to ensure AI solutions are reliable … prompt engineering, or AI agents. Strong Python development experience. Experience working with APIs and integrating AI services into applications. Understanding of embeddings, vector databases, semantic search, and retrieval workflows. Experience with cloud platforms such as AWS, Azure, or GCP. Good understanding of software engineering best practices, testing, version ...

ship AI-powered features for our clients' Python web applications. You'll take LLM and machine learning ideas from prototype to production, adding AI search, intelligent agents, and automation to Django and FastAPI products. You'll work closely with our senior Python engineers and with client teams. Key responsibilities … Design and build LLM-powered features such as retrieval-augmented generation (RAG), semantic search, chat assistants, and AI agents- Integrate LLM APIs (e.g. OpenAI, Anthropic, Gemini) and open-source models into Django and FastAPI services- Build and maintain data pipelines for document ingestion, chunking, embeddings, and vector search ...

operating as part of engineering teams. Generative AI & RAG: Proven experience working with LLMs and designing Retrieval-Augmented Generation (RAG) architectures, including knowledge of semantic search and vector retrieval. AICA Proficiency: Experience using AI-assisted and agentic coding tools to accelerate development, with the ability to articulate ...