76 to 100 of 137 Semantic Search Jobs in the UK

reasoning systems that enable Protégé to decompose complex patent questions, plan multi‐step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low‐latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI‐driven enrichment and classification … service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Essential - Hands‐on experience with vector databases and semantic search pipeline design. Essential - Experience with Model Context Protocol (MCP). Essential - Experience with large‐scale data platforms such as Databricks and search engines ...

Experience Experience with PyTorch, TensorFlow or other machine learning frameworks. Knowledge of LLM fine-tuning, model distillation and optimisation techniques. Experience with vector databases, semantic search, knowledge graphs or related technologies. Familiarity with AI governance frameworks, security standards or ISO 42001. Contributions to open-source projects, research ...

already be an AI specialist. Evidence of active development in this direction might include: Any applications of large language models (LLMs) including RAG or semantic search, agentic systems and structure tool use, and integrations into wider systems. Any experience of using model evaluation and monitoring for non-deterministic ...

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 technologies Define data models and integration patterns for Domain and Cross-Domain Digital Twins. … cloud-native data platforms. Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, Spanner Knowledge Graph & Semantic Modelling Data Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governance AI & Data Intelligence: RAG architectures, Vector ...

infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really … production. Depth in at least one of the following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex ...

infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really … production. Depth in at least one of the following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex ...

Modern Techniques Hands-on experience working with large language models (LLMs) in applied or production settings Experience with retrieval-based approaches (e.g., embeddings, semantic search, ranking) Experience building or contributing to LLM-powered systems involving multi-step reasoning, tool use, or workflow orchestration (e.g., agent-based approaches … development workflows (Git, CI/CD) Ability to contribute to scalable system design and collaborate effectively with engineering teams Experience with vector databases or search infrastructure such as Elasticsearch, OpenSearch, Qdrant or similar. Collaboration & Leadership Excellent communication skills with the ability to influence both technical and non-technical stakeholders ...

evidence A useful answer starts with relevant evidence. You will help us improve how we retrieve feedback for a product question, balancing fast interactive search with deeper analysis in background workflows. This includes evaluating how we prepare and chunk data, choose embeddings, retrieve candidates and rerank results. Discovering meaningful … knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Relevant technical depth: You have practical experience in one or more of information retrieval, semantic search, natural language processing, clustering or LLM-based applications, and can apply that experience to unfamiliar problems. Evaluation and experimentation skills ...

Senior Software Engineer I – Search and AI Platform About the Team Our team is dedicated to unlocking the rich knowledge embedded within Elsevier’s content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research … Nice to Have Experience operationalizing LLMs or building internal AI platforms. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems. U.S. National Base Pay Range U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations ...

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 ...

Experience We are particularly interested in candidates with experience or strong knowledge of: Multi-agent or agent-based solution architectures Retrieval-augmented generation and semantic search Data correlation and entity-relationship mapping Network telemetry and real-time operational data Vector or graph databases Context management and token optimisation ...

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 ...

NoSQL databases on AWS or GCPAzure Arc or hybrid management of on-premises databasesMCP (Model Context Protocol): building or integrating MCP serversRAG, vector and semantic search, AI orchestration frameworksLanding-zone design and multi-cloud governance (tagging, naming, guardrails)Security-by-design and threat modellingCertifications: Azure Solutions Architect Expert ...

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 ...