1 to 25 of 35 Ontologies Jobs in England

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 ...

project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm Experience working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise ...

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 ...

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. ...

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. ...

/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 ...

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 ...

generative AI, trust and security, driving innovations from concept through PoC to MVP. Experience with semantic web technologies; RDF, OWL, knowledge graph and ontologies for data harmonisation. Familiarity with dataspaces, metadata standards and data governance frameworks relevant to cross‐sector data exchange, data sovereignty, and usage control mechanisms. Develop computation ...

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 ...

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. ...

hold their own in a room full of engineers ───────────────────────────────────────── Useful but not required Graph data modelling (nodes, relationships, properties) Experience with semantic data or ontologies Familiarity with intelligence, defence, or national security data — this is a fascinating space to work in even if you haven't been in it before ...

primary challenge is creating and maintaining the knowledge graph that powers intelligence, discovery, and workflow automation across the platform. About You Knowledge Graph Design & Ontology Modelling : Expertise in modelling complex domains as interconnected graphs, covering companies, sponsors, lenders, law firms, financial instruments, transactions, documents, events, and their relationships. Entity Resolution ...

Palantir Foundry‐based solutions, from problem definition to production Design and implement data pipelines and transformations across diverse data sources Model data using Foundry Ontology concepts to support analytics and operational use cases Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry Collaborate closely with business stakeholders … skills in Python and SQL; PySpark experience required Hands‐on experience with Palantir Foundry, including: Pipeline Builder/Code Workbook Data integration and transformation Ontology modelling and data lineage Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi ...

Experience building evaluation systems for LLM‐powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems ...

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 ...

team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President – Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing … ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related ...

retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first‐class object. Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold‐standard published ...

. Ability to influence stakeholders and guide teams through ambiguity, translating productivity opportunities into clear technical direction and MVPs. Expertise in knowledge management, enterprise ontology and knowledge graph technology. Business process optimisation experience (e.g. Business Process Modelling, Lean Six Sigma). Experience with applied research/experimentation. EEO & Disability Confidence ...

/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills ...

prem vs cloud). Provide technical input into the development of Digital strategies and Intelligent Building policies for clients, including best practice data structures & ontologies and design parameters for digital enablement. Provide expert advice on cyber security for operational technologies, including vulnerability assessments and compliance with standards such ...

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 ...

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 ...