26 to 50 of 60 Ontologies Jobs in the UK excluding London

JavaScript frameworks such as Vue, React, or Angular. Proficiency working in a HPC bioinformatics environment. Experience of working with clinical data and/or ontologies Experience of training people to use web tools or supporting users seeking assistance through a helpdesk system Hybrid Working: At EMBL-EBI, we are pleased ...

centralised semantic layer (e.g. LookML, or cloud data catalog metrics) to deliver consistent, trusted business definitions across all reporting platforms. Map enterprise domain ontologies into relational data models, ensuring business concepts and their relationships accurately mirror real-world retail and supply chain processes. Implement and maintain metadata repositories, data dictionaries … . Semantic Layer Architecture: Hands-on experience building and managing centralised semantic layers, metrics tiers, or business abstraction layers in modern data tools. Business Ontology & Domain Mapping: Proven ability to analyse complex enterprise domain ontologies and translate entity relationships (e.g., supplier-to-product-to-store hierarchies) into structured dimensional schemas. ...

join the Patient Solutions Digital Strategy & Innovation team in Slough, UK (Windlesham from 2027). You will establish enterprise data foundations, govern metadata, ontologies and data standards to enable scalable, AI-ready data across R&D and operations. You will collaborate with scientific, digital and enterprise teams, design conceptual ...

data experiences and governance foundations. You will define KPIs, build Power BI dashboards, leverage Databricks AI/BI and Genie Rooms, and contribute to ontology, #J-18808-Ljbffr ...

interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python and AI frameworks for text analytics. #J-18808-Ljbffr ...

/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 ...

analytics, automation + operational decision making. Design, develop + maintain end-to-end data pipelines using Palantir Foundry (Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic … layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards + end user analytical experiences. Implement automated testing, CI/CD patterns + deployment best practices for Foundry-based data assets. Technical Environment: Data Engineering ...

enterprise data architectures, cloud data platforms, and data integration strategies. Information Architecture: Establishes the enterprise-wide business glossary, conceptual data blueprints, and taxonomy/ontology frameworks to ensure a unified understanding of data across the business. Data Modeling: Oversees the creation and maintenance of enterprise conceptual, logical and physical data … secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic web technologies (RDF, OWL, Knowledge Graphs). Data Modeler: Expert proficiency in industry‐standard data modeling ...

broader solutioning ecosystem. This leader sets the technical and operating direction for software developers, UX developers and designers, tools application developers, enterprise data architecture, ontology development, and deployment/testing #J-18808-Ljbffr ...

Title: Knowledge Graph and Ontology Specialist Posting Start Date: 08/09/2026 Job Id: 3075 School/Department: Advanced Manufacturing Research Centre Work Arrangement: Full Time (Hybrid) Contract Type: Fixed-term Closing Date: 06/10/2026 The University of Sheffield is a remarkable place to work. … experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data. You will join the AMRC at the University of Sheffield, as part ...

time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways ...

experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data. You will join the AMRC at the University of Sheffield, as part … dedicated entirely to the knowledge graph engineering and ontological understanding underpinning its success. Main Duties And Responsibilities Design, build, and maintain formal, machine-readable ontologies (e.g., using UML, RDF(S), SHACL, OWL) to support knowledge representation across multiple high-impact industrially-focused innovation projects. Apply advanced modelling paradigms, explicitly determining ...

business questions into effective data and AI solutions. You will create dashboards, visualisations and Databricks Genie Rooms, supported by consistent semantic models, business definitions, ontology, taxonomy and metadata. Working across business and technical teams, you will help ensure data and AI products are useful, trusted and easy to use. Responsibilities … data, analytics and AI experiences. Develop semantic models, KPIs, metrics and business definitions. Configure and continuously improve Genie Rooms for natural-language analytics. Maintain ontology, taxonomy, metadata, tagging and business glossaries. Validate data, calculations, visualisations and AI-generated responses. Partner with Data Engineers to improve data quality, lineage and traceability. ...

Senior Data Architect - Data Platform - Data Modeling - MDM - Data Management - Azure - Databricks As a Senior Data Architect, you will align the organisation's data architecture with its overall data strategy, establishing robust standards, governance and ...

foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape how data … created, governed and consumed to accelerate research, innovation and AI-driven decision making. What you’ll do Establish and govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage ...

Databricks AI/BI capabilities and Genie Rooms. Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics. Support the development of ontology, taxonomy, metadata, tagging and business glossaries. Understand data lineage from source through to consumption, helping ensure data is trusted, traceable and fit for purpose. Validate … similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data governance, metadata, taxonomy, ontology and/or lineage. Strong stakeholder engagement skills, with the ability to break down business requirements and translate them into practical data solutions. Comfortable working ...

excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real impact for customers and researchers? About our Team SciBite is developing cutting-edge … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite’s technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

data models, schemas and flows across multiple enterprise systems Identify entities, relationships and metadata across complex datasets Synthesise schemas and define taxonomy and ontology requirements Define how enterprise data could feed a knowledge graph Assess data quality, ownership, governance and integration requirements Help shape the future data architecture and implementation … roadmap Work directly with data owners, architects and technical stakeholders Experience required Strong enterprise data architecture and data modelling experience Knowledge graphs, ontologies and taxonomies Complex data integration and metadata Experience within Azure environments Strong stakeholder engagement in large enterprise environments Experience in regulated industries is highly desirable Exposure ...

engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with … degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with end-to-end data pipeline ...

engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with … degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with ...

define what staying at the forefront means for the practice; drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value … degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience ...

with AI, automation, and product innovation across the portfolio.**How you will make an impact:*** Define and own the canonical telco data model and ontology across network topology, service lifecycle, inventory, assurance, and OSS domains* Align data models with industry standards including TM Forum Open APIs, SID/eTOM, Open … Digital Architecture, YANG/NETCONF, and TOSCA* Drive adoption of ontology models across product teams as the semantic foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture ...

into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research Integration Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs … Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau ...

completeness. Focus on Material domains and future expansion to other scientific domainsDatabase Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from … analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applicationsIntegration with Software Tools: Collaborate with software engineers to ensure ...

Group Business Glossary, Taxonomy of Business Terms, and Group Data Categories (high-level groupings of terms) Build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with more confidence … bring Is useful but not essential (tooling matters less than the modelling fundamentals) Demonstrable experience in business glossary curation, taxonomy design, and/or ontology modelling, with a clear understanding of how these enable AI and data interoperability With modelling and metadata practices; Collibra , with the ability to explain semantic ...