51 to 75 of 78 Semantic Search Jobs in London

Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power Platform, multi‐agent orchestration. Contract Details Duration: 6 months Working Model: London, Tunbridge Wells, Ipswich, Bolton (Hybrid ...

Python and SQL Nice to have Experience within gaming, fintech, financial services or other regulated environments AWS experience Exposure to vector databases, embeddings and semantic search Experience with GitHub Copilot, Cursor or similar AI coding assistants Experience with low code automation tools such as n8n Experience delivering training ...

Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding models, and semantic search. Experience with coding assistants (GitHub Copilot, Cursor) in a developer productivity context. Multi‐site or international delivery experience. What We’re Looking ...

backend services. Key responsibilities will include: Building production applications and services using Python Developing solutions using LLMs and Generative AI Creating RAG and semantic retrieval solutions over structured and unstructured information Developing intelligent workflows using AI agents and orchestration frameworks Building scalable backend APIs using FastAPI Implementing document processing … embedding and vector-search capabilities Connecting AI services with existing applications, databases and data sources Creating methods for testing and measuring the quality of AI-generated outputs Containerising and deploying applications into modern cloud environments Writing clean, maintainable and well-tested software Working closely with product, engineering and business ...

. 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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

matters AI-native thinking: excited about what AI can do and how to use it practically (e.g. prompt chaining, function calling, semantic search) High agency: you find problems, fix them, and communicate clearly Generalist mindset: happy to jump between frontend, backend, infra, and debugging Strong collaboration: async ...