17 of 17 Ontologies Jobs

Role : Ontology Engineer Location: UK Type: Contract Essential Skills: Proven experience in ontology engineering with hands-on OWL, RDF and SKOS delivery in a production or client-facing environment specific semantic ontology and taxonomy experience particularly using tools (Protege and Graphview) Ability to extend and refine existing ontologies, not just … build from scratch Strong SPARQL capability including validation and reasoning queries Experience owning and governing taxonomies as versioned, change-controlled assets Understanding of how ontologies and taxonomies feed into AI and RAG systems Strong documentation discipline and ability to record modelling rationale clearly Experience collaborating with technical teams including data ...

Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS/Healthcare data experience. Government/(url removed)/Public Sector domain experience strongly preferred. Must ...

contribute to the enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation. Design and implement knowledge foundations, including taxonomies, ontologies, metadata, and knowledge graphs to support AI retrieval and reasoning. Establish scalable patterns for data ingestion, transformation, and retrieval across structured and unstructured data sources. ...

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 ...

Snowflake Architect or Data Architect - Houston, TX Job Description Focus: Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models Role Summary We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong … data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products. This role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted, reusable ...

organisation. Key responsibilities include: Driving enterprise data modelling and governance through the Data Architecture Framework (DAF) Developing conceptual and logical models (UML), taxonomies, ontologies and data glossaries Mapping data flows and establishing lineage across the enterprise ecosystem Supporting and evolving the Microsoft D365 and downstream medallion data architecture Administering ...

world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular … pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products , including: KPIs and analytics frameworks Data marts Clinical pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data ...

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 ...

govern enterprise-wide information models for a global organisation. Key Requirements Strong experience with conceptual and logical information modelling Hands-on experience with ontologies, taxonomies, and business semantics Knowledge of RDF, OWL, SKOS and semantic modelling frameworks Experience building and governing enterprise information models, business glossaries, and shared definitions Ability ...

govern enterprise-wide information models for a global organisation. Key Requirements Strong experience with conceptual and logical information modelling Hands-on experience with ontologies, taxonomies, and business semantics Knowledge of RDF, OWL, SKOS and semantic modelling frameworks Experience building and governing enterprise information models, business glossaries, and shared definitions Ability ...

experience of how to use relational databases, content management systems, such as SharePoint Online, enterprise search and AI functionality * Understanding of metadata, taxonomies, ontologies and knowledge graphs and how they can be used to classify and structure data * An aptitude for using technology and be highly computer literate, including strong ...

environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while … enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/ ...

fund data at one of the world's largest asset managers. You'll encode business rules, regulatory constraints, and identifier relationships into machine-readable ontologies, replacing manual processes and enabling automated validation across thousands of funds in six global markets. The project has a defined scope, executive backing, and guidance … from leading financial services knowledge graph experts. Develop an investment fund ontology (OWL 2/RDF/Linked Data) modelling the hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (eg, ISIN, SEDOL, CUSIP, LEI, Bloomberg). Create SHACL validation shapes to enforce business rules (eg, "A US -domiciled ...

knowledge of modelling expertise and the ability to bridge the gap between semantic technologies and the operational needs of teams that are new to ontology-based approaches. You will work closely with platform architects, engineers, data specialists and subject-matter experts to establish modelling standards, develop canonical domain models … 1. Client Platform Team Enablement Train platform architects and engineers in semantic-modelling fundamentals, including OWL, RDF/RDFS, SKOS, SPARQL, graph-database operation, ontology-design patterns and common modelling pitfalls. Guide the engineering team in the implementation of ontology-management services, ensuring that technical decisions support the intended business ...

grounded agents, and structured decision-support systems. Work with knowledge-based AI architectures, including retrieval-augmented generation, knowledge graphs, symbolic rules, structured domain models, ontologies, and hybrid reasoning systems. Develop and apply mechanisms for controlling inference, including planning constraints, reasoning policies, guardrails, validation layers, tool-use control, and human … academic research, or ideally both. Hands-on exposure to knowledge-based agentic systems, such as agents grounded in knowledge graphs, structured documents, domain rules, ontologies, databases, or retrieval systems. Experience with methods for controlling reasoning or inference, such as guardrails, constrained planning, validation layers, policy-based tool use, symbolic checks ...

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 ...

Company description: A rewarding place to work. At Rathbones, We invest in everyone's tomorrow that includes our people. We are always looking for future talent, and we can help you build a rewarding career ...