76 to 100 of 125 Ontologies Jobs in England

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 ...

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 ...

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 ...

solutionsSemantic & Knowledge ModellingIntegrate semantic layers with business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide … with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least one agentic AI frameworkGitHub Copilot or equivalent AI coding assistant experience in a professional settingFinancial services background preferred; BCBS 239 awareness ...

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. ...

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 ...

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 ...

will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will collaborate … experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations/graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools ...

rely on — in the field or in an operations centre. The heart of the work is Palantir Foundry . You design the pipelines, the ontology and the applications that bring live intelligence together with the customer's own operational data — sensor feeds, asset and unit positions, mission context … matters most to them in situational awareness and force protection, then scoping solutions against it. Designing, building and deploying on Palantir Foundry — data pipelines, ontology models and operator-facing applications. Bringing live intelligence into the workflows, common operating pictures and command-and-control tooling already in use, so that people ...

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 ...

model. We will decide which with you, based on where your strengths land.**What you will own*** The knowledge graph in production: implementing the ontology and schema, entity resolution, and the pipelines that build and refresh the graph from client estates* Graph retrieval as a first-class capability: traversal patterns … will need*** Production data engineering: Python, SQL, and a pipeline orchestration framework, running systems that other people depend on* Graph engineering depth: schema and ontology modelling, a production graph database (Neo4j or comparable), and fluency in a graph query language* Entity resolution at real-world quality: matching people, organisations, policies ...

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 ...

classification levels (e.g., OFFICIAL-SENSITIVE to SECRET), and military decision-making cycles. Palantir Platform Strategy: Understanding how to leverage Palantir (Gotham/Foundry?) capabilities, ontology design, and data integration pipelines to deliver value without rebuilding native features. Roadmap & Prioritisation: Ability to prioritise high-value data feeds and features under strict … Strategy: Data Fusion Strategy, Dual-Persona UX (Tactical vs. Strategic), Product Roadmap, Capability Management, Operational Value Delivery. Technical Familiarity: Palantir Foundry, Palantir Gotham, Data Ontologies, Edge Architecture, APIs, Situational Awareness Tools. Important Information Start Date: ASAP Security Requirements: Minimum clearance required is SC - due to the nature of the role ...

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 ...

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 ...

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 ...

ability to read schemas, review queries, and discuss data modeling trade-offs with engineers Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements … transparent backlog with clear value hypotheses, success metrics, and prioritization rationale Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points Own the product roadmap for the Knowledge Graph platform, run agile ceremonies ...

full provenance. Where you land depends on you and on what the lab needs next. Any of these could be yours: Data infrastructure and ontology underpinning our data ingestion, workflows and output APIs that receive customer intent, translate it into workflows and return results - followed quickly by MCP servers … automation, robotics, manufacturing, logistics, scientific instruments, or energy). Orchestration, scheduling, or workflow-engine work, and distributed systems at scale. Data-intensive systems: pipelines, ontologies or knowledge graphs, provenance or lineage. Early-stage or founding-engineer experience at a venture-backed company. Why this is unusual Most software roles like ...

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 domainsAlign data models with industry standards including TM Forum Open APIs, SID/eTOM, Open Digital … Architecture, YANG/NETCONF, and TOSCADrive adoption of ontology models across product teams as the semantic foundation for data exchange, AI training, and digital twin deploymentDevelop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage trackingTranslate data architecture vision into scalable, cloud ...