51 to 75 of 90 Permanent Ontologies Jobs

# Semantic Governance Managing Consultant - Ontologies and SemanticsBirmingham, Bristol, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Data & AI* ID 529956-en\_GB## **Who You'll Be Working With**You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights … data assets.This role will be primarily focused on delivering the Semantic Layer Programmes, supporting the development of supporting the design and adoption of enterprise ontologies, semantic standards, controlled vocabularies and knowledge graph capabilities across complex client environments.**PLEASE NOTE:****Security Clearance: To be successfully appointed to this role, must ...

Responsibilities Define and maintain current and target-state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management … mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise-level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end-to-end data architectures across complex organisations. Strong Azure data platform experience, including Databricks. Experience delivering large ...

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 ...

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 ...

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 ...

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-scoped ...

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 ...

data assets.This role will be primarily focused on delivering the Semantic Layer Programmes, supporting the development of supporting the design and adoption of enterprise ontologies, semantic standards, controlled vocabularies and knowledge graph capabilities across complex client environments.PLEASE NOTE:Security Clearance: To be successfully appointed to this role, must be eligible … Standards, Controlled Vocabularies, Data Contracts, Semantic Data Products and Knowledge Graph implementations.This is a senior client-facing leadership role requiring deep technical expertise in ontology engineering, semantic technologies and knowledge representation, combined with the ability to engage senior stakeholders and facilitate consensus across business and technology teams.The successful candidate will ...

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 ...

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 ...

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 ...

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 ...

Fitch Solutions knowledge graph: the entity, instrument, issuer, fund and document relationships that connect content across business units. Define the graph schema, ontology extensions and entity resolution logic that allow issuers, obligors, facilities and instruments to be linked reliably across internal and third party sources. Build the retrieval layer that … languages such as SPARQL, Cypher or equivalent & strong knowledge of data surface infrastructures such as Snowflake/Databricks etc. Practical experience designing knowledge graph, ontology or linked data infrastructure and the entity resolution logic that underpins it. Understanding of fixed income identifier standards and their interoperability, including ISIN, CUSIP, SEDOL ...

specializing in Enterprise Knowledge Systems to help customers build intelligent knowledge ecosystems powering AI applications. You will design production‐ready systems using knowledge graphs, ontologies and semantic technologies, integrating with LLMs, enterprise apps and workflows. Hybrid working is offered, with a global, innovation‐driven team. #J-18808-Ljbffr ...

implementation of the UK Data Service metadata strategy.• Oversee metadata governance, standards, quality assurance and lifecycle management.• Champion the use of controlled vocabularies, ontologies and semantic assets, including the European Languages Social Science Thesaurus (ELSST).• Represent the UK Data Service in national and international collaborations, standards bodies, and communities ...

privacy, and risk management.Ensure the team makes evidence-based decisions and communicates results clearly to stakeholders.Stakeholder collaborationWork closely with product managers, engineers, content specialists, ontology experts, biomedical informaticians, and commercial stakeholders.Translate customer and business needs into clear data science opportunities, project plans, and measurable outcomes.Communicate technical findings, trade-offs, risks … platforms such as Databricks, PyTorch, Hugging Face, LangChain, LangGraph, Haystack, MLflow, or similar.Preferred qualificationsExperience in life sciences, pharmaceuticals, chemistry, biomedical research, clinical data.Familiarity with ontologies, taxonomies, controlled vocabularies, and metadata standards.Experience with NLP, entity extraction, entity linking, semantic enrichment, search, ranking, recommendation, or knowledge graph methods.Exposure to production ML systems ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services.What You'll Deliver (POC Scope)An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed ...

data 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 … Governance and AI teams to ensure data foundations are aligned with enterprise standards while meeting evolving scientific needs.What you’ll doEstablish 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 ...

public sector) Embed client strategy and technical teams Stretching the frontier: hybrid KG + AI, graph + reasoning + M 🛠 Responsibilities Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries …/AI concepts to non-technical audiences ✅ Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog ...

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 ...

into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research Integration Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs … Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau ...

integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs … Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau ...