76 to 100 of 141 Ontologies Jobs in the UK

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 ...

100. Talk to customers and partners to find the problem worth solving, not just to validate a solution. Own the Global Product Graph — the ontology, the data, and the workflows that keep it accurate. Develop the insurance intelligence on top of it: product scoring, compliance evaluations, and what "good" means ...

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 ...

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 ...

tune – Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

tune – Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

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 ...

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 ...