51 to 75 of 112 Ontologies Jobs in England

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 ...

role focused on Palantir Foundry for a real-time intelligence platform used by defence and NATO-aligned organisations across Europe. You will design pipelines, ontology and operator-facing applications, owning the end-to-end delivery from first sketches to production. The role involves collaborating with users on situational awareness, shipping ...

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 ...

contract drafting, review, and negotiation AI powered by your legal knowledge. We turn a firm's guidance, precedent, and language into a legal ontology, ground our models in it, and run complex drafting, review, and search workflows directly within Microsoft Word and in the browser. We serve top law firms ...

Service as a real product — designing a secure, multi‐tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology‐driven search, in partnership with the data team. Powering agentic AI from the data platform — architecting the data foundations behind MystraAI and designing secure, tenant‐scoped access ...

Data-as-a-Service as a real product — a secure, multi-tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology-driven search, in partnership with the data team. Powering agentic AI from the data platform — scaling the data foundations behind MystraAI and owning secure, tenant ...

high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer - knowledge graphs, ontologies, vector search, and semantic retrieval - grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

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 ...

Reply is seeking a Data and Knowledge Graph Engineer to design and build semantic layers, ontologies and knowledge graphs that connect data, systems, applications and AI solutions. You will own end-to-end technical design from discovery to production, creating robust foundations for integration, governance, analytics and generative AI. Responsibilities ...

platform. You will collaborate with platform teams and client estates in a hybrid setup combining offices, client sites, and remote work. You will own ontology, graph pipelines, embeddings, and retrieval, ensuring data governance, security, and scalable performance. The role emphasizes production readiness and measurable improvements in AI tooling. #J ...

Builds and maintains APIs/integration layers exposing graph data to downstream consumers (including the chatbot) Collaborates with the Knowledge Graph Architect to implement ontology, knowledge and schema changes as code Supports performance tuning, indexing, and scaling of the Neo4j instance Automates data refresh and synchronisation processes between source systems ...

BDNS). Good knowledge/understanding of the following would be desirable: Other non-Tridium building systems, such as Trend, Johnsons and Siemens. Building ontologies (DBO, Haystack, Brick, RealEstateCore and 223P) and the value they offer within building environments ICT skills, including knowledge of TCP/IP networking. Working with ...

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 ...

high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer knowledge graphs, ontologies, vector search, and semantic retrieval grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

Modelling Integrate semantic layers with business glossaries, data catalogues, and lineage tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data … Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ontology design Experience with at least one agentic AI framework GitHub Copilot or equivalent AI coding assistant experience in a professional setting Financial services background preferred ...

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 ...

data tools. Assess structured and unstructured data to identify anomalies, trends, control weaknesses and emerging risks. Develop and maintain metadata standards, classification models, taxonomies, ontologies and data-labelling structures. Document data lineage, processes, business rules and control frameworks to provide transparency and auditability. Build and operate AI-monitoring controls covering … rules, profiling routines or automated validation controls. Experience working with structured and unstructured datasets. Strong understanding of metadata concepts including classification, lineage, taxonomies and ontology modelling. Knowledge of AI and machine-learning concepts, including model monitoring, drift detection, fairness and bias assessment. Exposure to model validation techniques such as hold ...

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. ...

layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will … analytics and generative AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. ...

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 ...