76 to 100 of 117 Semantic Search Jobs in England

. Understanding of agentic AI patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm ...

Search & Discoverability Lead (SEO/AEO/GEO) Location: UK/EMEA (Remote/Hybrid) Type: Full-Time, Permanent Function: Strategy/Data & Discoverability Level: Senior Consultant/Lead At Horizontal Digital, we hold ourselves to one key belief: You’re only as good as your worst customer experience. … push past the easy answers and collectively arrive at bigger, more inspiring ideas. But enough about us. Let’s talk about you. As our Search & Discoverability Lead, you'll shape how we deliver visibility across search engines, answer engines and AI-driven platforms for ambitious brands across Healthcare ...

access to investment research, meeting notes, and decision-making history.Experiment with and implement emerging AI technologies, including large language models, retrieval-augmented generation (RAG), semantic search, document processing, and AI agents.Develop practical applications, dashboards, and user-friendly tools that help investment professionals analyze data, monitor companies, and prepare ...

managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. ...

Experience with Terraform, GitHub Actions, Infrastructure as Code, AWS or other cloud ecosystems. Experience with Docker and Kubernetes and running containerized workloads. Knowledge of Semantic Search and RAG based workflows. Knowledge or experience with MCP servers. Knowledge/interest in payment platforms, foreign exchange & complex systems architecture. ...

building LLM, RAG or AI-powered search solutions and looking for your next challenge? London (Hybrid) I'm working with a global organisation seeking a Data Scientist to help develop next-generation AI products focused on knowledge discovery, intelligent search, and scientific insight generation. With a long-standing … professionals discover, evaluate and interact with complex information. We're looking for someone with hands-on experience across: LLMs & Generative AI RAG & Retrieval Systems Semantic Search & Information Retrieval NLP & Embeddings Agentic AI Workflows (LangGraph, LangChain etc.) Production AI & MLOps This is an opportunity to work on cutting-edge ...

building LLM, RAG or AI-powered search solutions and looking for your next challenge? London (Hybrid) I'm working with a global organisation seeking a Data Scientist to help develop next-generation AI products focused on knowledge discovery, intelligent search, and scientific insight generation. With a long-standing … professionals discover, evaluate and interact with complex information. We're looking for someone with hands-on experience across: LLMs & Generative AI RAG & Retrieval Systems Semantic Search & Information Retrieval NLP & Embeddings Agentic AI Workflows (LangGraph, LangChain etc.) Production AI & MLOps This is an opportunity to work on cutting-edge ...

only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier … tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans and AI agents to understand and work with Bloomberg's data safely. This is not about ...

only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier … tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans and AI agents to understand and work with Bloomberg’s data safely. This is not about ...

enterprise-scale GCP data platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage.Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms using Vertex AI and related technologiesDefine data models and integration patterns for Domain and Cross-Domain Digital Twins.Define integration … large-scale cloud-native data platforms.Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, SpannerKnowledge Graph & Semantic ModellingData Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governanceAI & Data Intelligence: RAG architectures, Vector databases, Embedding ...

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 ...

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 ...

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. ...