23 of 23 Ontologies Jobs in the UK

semantic structures, and can help clients create the foundations for GenAI, GenBI, agentic workflows and intelligent operations. The Opportunity We are looking for experienced Ontology Specialists with deep insurance domain expertise, particularly in underwriting, claims, policy administration, distribution, risk, pricing, exposure management, reinsurance and insurance operations. Our clients are establishing … enterprise ontologies as a foundation for: Data ontology and semantic layer for GenBI - creating a business-friendly, governed semantic layer that allows executives, underwriters, claims leaders, actuaries, risk teams and operations leaders to ask trusted questions of enterprise data. Operational ontology for transactional workflows - modelling insurance concepts, events, decisions, hand ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

experience. Strong ability to troubleshoot access, schema, query, sync and connectivity issues across Foundry, Databricks and AWS. Desirable Skills Experience with Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder or Code Repositories. Experience with Delta Lake, Parquet, Iceberg, CSV and JSON. Data governance, lineage, secure data-sharing and access approval experience. ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

experience. Strong ability to troubleshoot access, schema, query, sync and connectivity issues across Foundry, Databricks and AWS. Desirable Skills Experience with Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder or Code Repositories. Experience with Delta Lake, Parquet, Iceberg, CSV and JSON. Data governance, lineage, secure data-sharing and access approval experience. ...

/CD & Agile delivery experience Good understanding of structured and unstructured data, and the techniques needed to exploit them in different ways, including schemas, ontologies, taxonomies and translation/representation issues. Background in Defence/Public Sector/secure environments highly desirable A curious, hands-on mindset with strong stakeholder ...

access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

operational and strategic decision-making. Key Responsibilities Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.) Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments Develop modular, reusable data components following software engineering best … practices Build and maintain data products aligned to business use cases Data Architecture & Modeling Design robust data models and ontology structures within Foundry Define and maintain semantic layers for business-facing analytics Ensure data integrity, lineage, governance, and quality controls Optimization & Performance Monitor and optimize pipeline performance, cost efficiency ...

with stakeholders across engineering, operations, and leadership. What You Will Be Doing: Design and deliver enterprise-scale solutions on Palantir Foundry Build data pipelines, ontologies, and operational applications Develop data products and decision intelligence tools used day-to-day Translate complex operational problems into scalable technical solutions Contribute to platform … modern data architectures & distributed systems Ability to work in fast-paced, ambiguous environments Excellent stakeholder engagement and communication skills Experience building: Data pipelines & transforms Ontologies and data models Operational workflows/application Desirable Experience: Experience with Palantir AIP or AI-enabled workflows Exposure to LLMs or agentic AI systems Cloud ...

engineering, regulatory, operational and business domains. Develop and maintain domain data models—structured and unstructured—ensuring consistency, integration readiness, and alignment with enterprise requirements. Ontology & Semantic Modelling Assist in designing ontology structures and contribute to semantic modelling activities that promote data reuse, interoperability and traceability across systems. Support iterative refinement … ontologies and domain models based on stakeholder feedback, engineering constraints and evolving system architecture decisions. Common Data Environment (CDE) & Metadata Framework Support the development and governance of the Common Data Environment, ensuring consistent metadata, classification structures and relationships between engineering content and enterprise data. Catalogue and classify data assets, ensuring ...

Databricks ecosystem, including: 🔑 Databricks/Lakehouse environments 🔑 Unity Catalog 🔑 Medallion architecture 🔑 Agentic AI capabilities 🔑 Model serving & operationalisation within Databricks 🔑 Knowledge graphs/ontologies 🔑 AI Engineering with strong Databricks foundations Key Experience 🎯 Strong Databricks engineering experience 🎯 Consultancy experience beneficial 🎯 Databricks certifications desirable 🎯 Exposure to enterprise AI/insight platforms ...

world, proprietary data. This is a high-ownership role in a small, deeply technical team. What You'll Work On Designing knowledge models and ontologies that preserve semantic meaning and relationships Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re-ranking Developing information extraction pipelines ...

infrastructure of the construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops Linked Data architectures, domain-specific taxonomies, ontologies, RDF-based data structures, and knowledge graph infrastructures for construction, architecture, and building products. We work with fragmented and highly contextual industry data: product catalogues … with structured, semi-structured, unstructured, and graph-connected data. Build entity extraction, entity resolution, deduplication, and similarity-matching workflows. Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers. Design evaluation, benchmarking, validation, and error-analysis processes. Improve data quality, consistency, explainability, provenance, and semantic alignment. Collaborate with engineering ...

construction industry. As a corporate member of the World Wide Web Consortium — W3C , Depixen develops W3C-compliant Linked Data architectures , domain-specific ontologies , taxonomy models , RDF-based data structures , and knowledge graph infrastructures for the construction sector. Through its AI projects with respected universities and institutions in the United Kingdom … machine-interpretable data models. This is not a conventional image recognition role. You will help connect visual AI outputs with verified data, taxonomy, ontology, RDF, and knowledge graph layers, turning perception into reliable decision intelligence for the construction industry. We are seeking a talented Computer Vision Engineer to design, develop ...

activity. The programme is building AI agents to support day-to-day group operations: workflow, reporting, information management and operational decision-making. A foundation ontology and taxonomy already exists, and the organisation's data is mapped and manageable in scope. This is not a greenfield engagement. The Semantic Knowledge Architect … owns the knowledge layer those agents depend on. The Role: Your responsibility is the quality, integrity and evolution of the semantic knowledge layer: the ontologies, taxonomies and knowledge graph structures that determine what agents know, how they connect information, and whether their outputs are accurate. You will expand and govern ...

Knowledge Graph and Ontology Specialist Location: Manchester Salary : £57,528 to £64,750 a year per annum Vacancy Type: Fixed term (21 Months) The closing date is 11 June 2026 Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here … advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job The Knowledge Graph and Ontology Specialist will play a leading role in designing and delivering semantic data models, ontologies, and knowledge graphs that underpin NICE's digital products and information services. ...

bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model - complete with significant ontology and vocabulary - that can be utilized to effectively structure and index the data. Specifically working with Product managers and R&D subject matter expertise to define … language (data models, ontology, standards, etc.) of science into data products by acting as the voice of Knowledgebase and interoperability/value of asset. Metadata harmonization/curation and large-scale dataset ingestion (structured, auditable transformations) Ontology alignment (eg, via OLS) and entity normalisation; schema-driven automation (eg, JSON) Knowledge ...

advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job The Knowledge Graph and Ontology Specialist will play a leading role in designing and delivering semantic data models, ontologies, and knowledge graphs that underpin NICE's digital products and information services. … services for both internal and external users. What you will do/bring to the role o Lead the design, development and implementation of ontologies, taxonomies, metadata schemas and knowledge graphs, embedding them into NICE systems and services. o Develop semantic search and retrieval capabilities, helping users find information more ...

Lead Remote up to £150,000 base We’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products. This is a senior, hands-on leadership role … someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work. You’ll be responsible for shaping a graph and ontology platform that powers: • AI retrieval and RAG workflows • Entity linkage and reasoning systems • Cross-domain and temporal knowledge modeling • Regulatory and compliance intelligence products ...

define data requirements and ensure alignment between governance standards and technical implementation. The Data Steward is responsible for establishing and maintaining data standards, ontologies, and controlled vocabularies, ensuring semantic alignment across enterprise research datasets and enabling scalable, high-quality data use. The Business Data Owner is accountable for data lifecycle … data stewardship and/or data governance concepts (e.g., stewardship operating model, data quality, metadata, ownership, and standards). Experience working with data standards, ontologies, vocabularies, or controlled terminologies in a research or life-sciences setting. Knowledge of cloud platforms, specifically google cloud. Understanding of multi-omics data types ...

strategy across data harmonisation, pipeline validation, knowledge graph, and FAIR data product requirements. Requirements Translation: Translate ambiguous scientific requirements into clear canonical data models. Ontology Management: Make ontology reuse, extension, and mapping decisions (with documented rationale), and define persistent identifiers and consistent provenance fields. Risk Mitigation: Identify modelling risks early … including metadata gaps, ontology conflicts, source data quality issues, lineage gaps, and downstream compatibility risks. Design & Architecture: Design modular, reusable, and future-proof models aligned to FAIR principles (findability, accessibility, interoperability, reusability) and enterprise standards. Technical Implementation: Apply practical experience with LinkML (or equivalent), including classes, slots, ranges, identifiers, constraints ...

hiring a contract Ontologist to design ontologies that help build out new AI domains within the business. This role focuses on developing semantic models and knowledge structures, helping shape how internal knowledge gets used by AI agents in product, data and global markets. Responsibilities: Design ontologies from scratch that represent … GraphRAG and Search from unstructured artifacts (documents, transcripts, reports, glossaries ) as well as for assembling agent context Work with engineers to determine how ontology gets queried, connected and reasoned over Produce design review artifacts and model documentation Validate, test against use cases, queries and workflows Establish maintenance process and build ...