1 to 25 of 38 Permanent Semantic Search Jobs in the UK excluding London

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 ...

subject matter expert, advising on the most effective use of AI, machine learning, automation, or traditional solutions. Drive the adoption of LLMs, RAG, semantic search, prompt engineering, custom agents, and AI orchestration frameworks. Define and promote reusable architectures, engineering standards, and best practices for AI development across Aura … business challenges. Proven experience designing, building, testing, and delivering production-grade software and AI solutions. Strong expertise in LLMs, applied AI, prompt engineering, RAG, semantic search, AI orchestration, and agent-based systems. Ability to evaluate and select the right approach, whether that involves AI, machine learning, automation, rules ...

subject matter expert, advising on the most effective use of AI, machine learning, automation, or traditional solutions. Drive the adoption of LLMs, RAG, semantic search, prompt engineering, custom agents, and AI orchestration frameworks. Define and promote reusable architectures, engineering standards, and best practices for AI development across Aura … business challenges. Proven experience designing, building, testing, and delivering production‐grade software and AI solutions. Strong expertise in LLMs, applied AI, prompt engineering, RAG, semantic search, AI orchestration, and agent‐based systems. Ability to evaluate and select the right approach, whether that involves AI, machine learning, automation, rules ...

BBC. We are a huge growth area for the BBC, so come join us on an exciting journey! Iplayer & S TV Engineering Team: BBC Search plays a vital role in helping millions of people discover the content they love across BBC iPlayer, Sounds, News, Sport and the wider BBC. … search platform handles millions of requests every day, and we're passionate about making search smarter, faster and more relevant for our audiences. Our engineering team is organised into three squads: Search Catalogue, Search Intent & Retrieval, and Search Ranking, working together to deliver an intelligent ...

Engineer to drive production-grade AI systems within a large-scale operating model for a central government department. You will turn architectural guidance into semantic search and retrieval-augmented generation solutions, coordinating with data scientists and software engineers on secure, scalable deployments. Based in the Newcastle upon Tyne ...

support secure AI applications, assistants, agents, knowledge systems and workflow automations using approved Microsoft, cloud-hosted and local platforms* Develop retrieval-augmented generation, semantic search and knowledge-management solutions that connect AI safely to approved systems, documents, databases and APIs* Design, deploy and govern Model Context Protocol servers … Practical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations* Working knowledge of large language models, retrieval-augmented generation, semantic search, AI agents and Model Context Protocol* Experience deploying and operating applications across Linux systems, containers and virtual machines* Experience of monitoring, patching, backup ...

Engineer in Manchester, UK, for building the knowledge graph and AI services behind a SaaS platform. The role supports extraction, entity resolution, and semantic search, with a focus on data provenance and evidence-backed matches. You will implement RDF models, SHACL constraints, and Python-based services using FastAPI ...

Specialist with digital agency experience and hands-on knowledge of GEO and AI search This is a great opportunity for you An opportunity has arisen for an SEO Specialist to join an established design and digital marketing agency providing website design, branding and digital marketing services to small … medium-sized businesses. As an SEO Specialist , you will manage organic search and generative AI optimisation across multiple client accounts, combining technical implementation, performance analysis and client consultation to improve search visibility and support business growth. This role offers hybrid working (four days in the office ...

services behind a SaaS platform. You will be responsible for turning documents and records into structured information, connecting related data, and supporting search and matching with clear supporting evidence. This role is open to both senior and mid-level engineers with relevant practical experience. Key Responsibilities Develop RDF models … extracted information into the graph, including incremental updates, duplicate handling, and pre-publication checks. Ensure corrections and approved deletions reach the graph and search indexes, respecting tenant boundaries and access permissions. Develop information extraction services for documents, messages, and transcripts using FastAPI and schema validation, ensuring source location ...

Pinecone (essential for RAG architectures). Data Orchestration: Familiarity with Airflow, Prefect, or Dagster for managing complex data movement and model training pipelines. Search & Discovery: Advanced ElasticSearch/OpenSearch for semantic search and large-scale indexing. AI Frameworks: Exposure to LangChain, LlamaIndex, or Hugging Face libraries ...

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 ...

applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should … machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Consulting, Communication & Leadership: Ability ...

Generation (RAG) and AI applicationsAgentic AI, AI agents, intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand … Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with ...

Generation (RAG) and AI applicationsAgentic AI, AI agents, intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand … Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with ...

/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice to Have AWS certifications (ML/Architect) Experience with MLOps ...

evaluation (eval datasets, automated and expert‐in‐the‐loop scoring, regression testing). Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred Experience Prior experience ...

modelling and automated assessment systems. Develop and maintain data pipelines, services and infrastructure. Contribute to new AI capabilities, including Large Language Models (LLMs), embeddings, semantic search and Retrieval-Augmented Generation (RAG). Deploy, monitor and troubleshoot production data and machine learning systems. Work collaboratively with software engineers, data ...

OpenAI or similar platforms, with exposure to techniques and frameworks such as retrieval‐augmented generation (RAG), Model Context Protocol (MCP) vector databases and embeddings, semantic search and agentic workflows. Full‐stack engineering, building web applications, dashboards, APIs and internal tools using established languages (JavaScript/Java/Python … productivity and business outcomes. Developing solutions on Microsoft Azure including App Services, Functions, Storage and managed database services, Azure AI Foundry and Azure AI Search Building and operating production services with appropriate monitoring, alerting, logging and observability tooling (e.g. New Relic), using platforms such as. Event‐driven architectures, messaging ...

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 … Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines ...

software development and engineering expertise. Key areas of proficiency include: Programming Languages: Python, Java and Go. AI/ML: prompt engineering, LLMs, RAG, Semantic Search, Vector Databases, etc Behaviour-Driven Development (BDD) Testing: Cucumber, JBehave, Pytest-BDD, etc. CI/CD pipelines: Harness, Tekton, Jenkins, etc. Knowledge … veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights ...

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 ...

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 ...

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 ...