51 to 75 of 140 Ontologies Jobs in England

production, and grow the engineers around you, alongside founders who stay close to the work. This London-based role focuses on data pipelines, ontologies, and AI workflows on Palantir Foundry and AIP. You will lead deployments end to end, mentor engineers, and influence product roadmaps while collaborating with senior executives. ...

Work with Power BI Specialists to ensure models support effective dashboarding, visualisation and self-service reporting. Work with Foundry Specialists where Foundry data products, ontology outputs or pipelines support BI delivery. Investigate and resolve issues affecting BI models, data logic, performance or accuracy. Produce and maintain technical documentation ...

ability to explain technical decisions and assess different architectural approaches. Confidence taking ownership of projects and guiding other engineers technically. Experience with knowledge graphs, ontologies, recommendation systems, human-in-the-loop learning or LLM fine-tuning would be particularly interesting. You don't necessarily need to have held an Architect ...

reliable knowledge and controls, and able to point to at least one hands‐on AI‐related example. Ideally brings familiarity with knowledge structures (ontologies, taxonomies, knowledge graphs), human‐AI interaction or agent design, and measuring business value and governance impacts. Reply is an Equal Opportunities Employer and committed to embracing ...

have two products: GAP (Global Administration Platform) for global benefits teams. It uses LLMs to parse and extract policy documents into a structured ontology, and gives admins spend and utilisation tools across every country they operate in. Navigator , the employee-facing product that helps people understand and use their benefits. ...

Northern Trust invites applications for a Senior Information Architect to shape the enterprise data strategy, governing data models across conceptual, logical, and physical layers on Snowflake and Databricks. You will guide semantic modeling, data contracts ...

differentiated career path that is difficult to develop in a purely technology-focused role. Purpose of the role Responsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. Responsibilities Build and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account, cost centre and forecast line, and the relationships between them, including controlled vocabularies, business glossaries, hierarchy history, ownership ...

leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… engineers while remaining accountable for prototypes, reference implementations, critical code, troubleshooting, and complex customer or stakeholder demonstrations. Mandatory Hands-on Technical Skills Knowledge graphs: Ontology and semantic model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience ...

What we're looking for The Senior Semantic provides the technical and operational capability that supports the enterprise semantic and ontology function. Working closely with the Ontology Manager, the role is responsible for discovering, analysing, transforming, validating and publishing semantic assets derived from enterprise data, metadata, reference data and external … information sources. The role supports the development and maintenance of ontologies, taxonomies, controlled vocabularies, business glossaries and knowledge graph assets. The role acts as the bridge between enterprise data sources, metadata platforms and semantic assets, applying semantic technologies, data analysis, automation and modern AI-assisted techniques to support the delivery ...

original research on open problems from leading robotics and AI customers Research and prototype agentic workflows which can handle multimodal inputs and diverse customer ontologies Advance our work on data curation and model evaluation Tackle egocentric video understanding, from captioning to deeper 3d understanding Build working prototypes to test ideas ...

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 ...

environment; practical experience of taking language‐model‐based products into production, however, is essential. Ideally, you'll also bring experience of knowledge graphs or ontologies, fine‐tuning techniques, vision‐language models or handwriting recognition and a background in assessment, education or other regulated, high‐stakes environments. An interest in event ...

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 ...

analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing, and documentation as normal practice, and AI used as a core, everyday part … rather than assumed to have worked Standards and quality Own governed metric definitions, a shared semantic layer, the data catalog, and the wider data ontology, ensuring the same question gets the same answer wherever it's asked, data assets are findable and trusted, and metadata, lineage, and business definitions stay ...

analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing, and documentation as normal practice, and AI used as a core, everyday part … rather than assumed to have worked Standards and quality Own governed metric definitions, a shared semantic layer, the data catalog, and the wider data ontology, ensuring the same question gets the same answer wherever it's asked, data assets are findable and trusted, and metadata, lineage, and business definitions stay ...

analytics is built here: governed metric definitions and a shared semantic layer so numbers agree across the business, a well-maintained data catalog and ontology so data assets are discoverable and trusted, version control, testing, and documentation as normal practice, and AI used as a core, everyday part … measured properly rather than assumed to have workedStandards and qualityOwn governed metric definitions, a shared semantic layer, the data catalog, and the wider data ontology, ensuring the same question gets the same answer wherever it's asked, data assets are findable and trusted, and metadata, lineage, and business definitions stay ...

works with product teams, R&D partners and manufacturing technology teams to define practical strategies for connecting data and systems (including the use of ontologies, knowledge graphs, integrations and AI where appropriate), enabling more seamless reuse of product and process knowledge across platforms. They also help define and operate … maintain pipelines, automate deployments, manage repositories and environments and ensure changes follow validation and change-control requirements. Work with R&D and central ontology/knowledge-graph teams to implement and operate data and metadata structures (for example applying agreed ontologies, reference data and mappings) so digital product profile data ...

Argus Media Group is seeking a Senior Semantic Analyst to define and govern semantic assets such as ontologies, taxonomies and glossaries. You will bridge business meaning with governance, ensuring assets remain authoritative and reusable across the organisation. You will collaborate with stakeholders and SMEs, maintain lifecycle governance, and promote semantic ...

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 ...

work across the full lifecycle from ingestion to deployment, shaping practical AI and knowledge graph solutions for client data architectures. You will design ontologies, curate KG content, experiment with LLMs and agentic systems, and mentor junior engineers while collaborating with clients, engineers, and product teams across time zones. #J ...

hiring a specialist to design and build semantic layers that give organisations a shared, machine-readable understanding of their data. You will create ontologies and knowledge graphs across industries, from discovery to production, supporting integration, governance, analytics and AI initiatives. You will apply semantic technologies, connect data across systems ...

GlaxoSmithKline plc seeks a Director, R&D AI & Technology Transformation to lead diagnostics and design for R&D data foundations, spanning data quality, ontology, governance, and platforms. The role collaborates with leaders to align and drive measurable outcomes, balancing strategic oversight with hands-on delivery. You will manage cross-functional ...

will guide junior engineers and collaborate with users, architects and product teams. You will apply current knowledge engineering, LLM and multi‐modal techniques, design ontologies, and help articulate the business value of AI and KG approaches to clients #J-18808-Ljbffr ...

next generation of AI-native enterprise software, applying LLMs and agentic AI to assets, operations and critical services. This Knowledge Engineer role focuses on ontology, knowledge graph and grounding infrastructure to enable AI agents to reason over customer data. You will design MCP servers, build semantic layers, and establish robust ...

will involve working on enhancements for enriching ADS metadata and practical work including integration of controlled vocabularies and gazetteers, mapping to metadata standards and ontologies, and (meta)data wrangling, cleaning, and transformation. It will include both hands-on work, and an advisory role with regard to current metadata management best ...