1 to 25 of 28 Ontologies Jobs in England

Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity … ontology-aligned data foundations that power knowledge graphs, reasoning systems, retrieval layers and AI products. This is a strategic engineering role for someone who sees data not simply as pipelines and tables, but as structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build ...

Experience supporting AI/ML or advanced analytics projects. Familiarity with data catalogues, governance, and lineage tools (e.g. Collibra, Alation, Atlas). Exposure to ontologies, semantic modelling, or knowledge graphs. Experience with modern architectures (lakehouse, data mesh, streaming/event-driven systems). Relevant cloud or data architecture certifications. ...

programmes , from conceptual modelling through logical/physical layers, tied directly to business priorities. Develop a unified language for data -dictionaries, vocabularies, taxonomies and ontologies that allow teams to interpret data consistently. Shape data and analytics architectures collaboratively with solution and enterprise architects. Act as a trusted advisor to senior ...

with data modelling tools like SparX, Erwin or similar -Skills in SQL and Python is nice to have but not essential -Experience with curating ontologies and experience with OWL/TTL/RDF is preferred APPLY BELOW ...

data warehousing technology, high-performance computing platforms, database and database query optimisation, and data mining Experience in some of the following domains: bioinformatics, genomics, ontologies, functional annotation, and high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, Rust, Perl, GraphQL, JavaScript, TypeScript, Apache, MySQL, PostgreSQL, DuckDB ...

Knowledge of UML, RDBMS, JSON/XML* Knowledge/experience of Erwin Desirable: * Knowledge of industry data standards (e.g. fpML, FIX, FIBO)* Experience with ontologies (RDF/OWL/TTL)* SQL and/or Python If interested please apply. To follow up on your application please email or drop ...

genuine ownership of the platform architecture, not just lead from a distance, but design and build alongside the team. You'll be responsible for ontology design, data pipeline architecture, and data modelling from scratch, while guiding a team of engin click apply for full job details ...

projects and enhancements. Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework. Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata. Championing good data architecture practices across the organisation. Requirements: Microsoft background (SSIS, Dataverse, sharepoint) Microsoft Azure and/or Fabric Understanding ...

projects and enhancements. Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework. Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata. Championing good data architecture practices across the organisation. Requirements: Microsoft background (SSIS, Dataverse, sharepoint) Microsoft Azure and/or Fabric Understanding ...

Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

their implementation ofSuccessFactors. You will also have opportunities to support clients in embedding skills-based hiring , leveraging SAP Talent Intelligence Hub (TIH), Skills Ontologies and skills metadata to optimise job design, sourcing, screening and internal mobility workflows. This role combines hands-on configuration, solution design, client advisory and the opportunity ...

SuccessFactors to design innovative, future-ready solutions — from traditional talent modules (Performance & Goals, Career & Succession, LMS) to in-demand capabilities such as Skills Ontologies, Growth Portfolios, and Talent Intelligence use cases. In addition to deep product knowledge, this role offers opportunities to lead functional workstreams and small delivery teams ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments, Operational support and troubleshooting. Experience dealing with Performance issues or optimisation tasks, Permissions and basic security models, Schema/ontology changes and their impact on downstream use cases, Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (e.g. workshops, demos ...

Semantic Architect Location - Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance What Youll Do Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships. Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources. … with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows. Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning. Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management. ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, 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 for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, 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 for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

most advanced data operating systems in the world. Key Responsibilities Lead the 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 for clinical and operational domains. Design … patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundry's ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity … migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. Implement validation frameworks to ensure complete data accuracy, consistency, and lineage ...

Data Modelling Lead, Associate Director - Insurance Location: London or ManchesterBusiness Line: Technology & TransformationJob Type: Permanent/FTC Lead the Future of Data in InsuranceA leading global professional services organisation is seeking experienced Senior Data Modellers ...

genuine ownership of the platform architecture, not just lead from a distance, but design and build alongside the team. You'll be responsible for ontology design, data pipeline architecture, and data modelling from scratch, while guiding a team of engineers through implementation and acting as the technical authority with … bring: Deep, hands-on Data Architecture experience, you've designed and built complex data platforms yourself, not just directed others. Proven ability to design ontologies from the ground up within large or complex environments. Strong data modelling skills across conceptual, logical, and physical layers. End-to-end data pipeline architecture ...

Data Modelling Lead Location: London or Manchester (Hybrid) Employment Type: Permanent Seniority: Associate Director Level About the role: A leading global consultancy is seeking an experienced Data Modelling Lead to join its growing Data & AI ...

Data Modelling Lead Location: London or Manchester (Hybrid) Employment Type: Permanent Seniority: Associate Director Level About the role: A leading global consultancy is seeking an experienced Data Modelling Lead to join its growing Data & AI ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...

Doing Assess and understand complex client data landscapes and define target-state architectures Lead workshops to define canonical data models and enterprise ontologies Design enterprise-wide integration architectures and scalable data flows Shape enterprise data warehouse strategy aligned with business goals Drive architectural roadmaps for large-scale data transformation initiatives … resilient, and high-performing data solutions ✅ Required Experience Proven experience as an Enterprise or Senior Data Architect Strong expertise in data modelling (canonical models, ontologies) Experience designing enterprise data integration architectures Deep understanding of data warehousing concepts and SQL Experience with cloud platforms ( AWS, Azure, or GCP ) Ability to align ...

platforms, Agentic systems & Insights Build a scalable AI platform with shared assets that reduce maintenance overhead and accelerate model delivery, standardizing adoption through APIs, ontologies and knowledge graphs while incubating an agentic AI marketplace for seamless reuse and stronger AI ROI. In parallel, deliver AI‐powered, client‐specific 360° insights … intelligent coverage agents to identify acquisition, cross‐sell and upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated ...