26 to 47 of 47 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

team in London, London, City of (GB-LND), United Kingdom (GB).Job Title: Knowledge Graph ArchitectExperience: 10+ years (5+ years in Knowledge Graphs/Ontology Engineering)Role OverviewWe are looking for a Knowledge Graph Architect to lead the design and governance of enterprise knowledge graphs. This role will define … ontology, data model, and canonical vs. interpretive boundaries, enabling scalable, high-quality graph data for AI-driven use cases, including Graph RAG.The role also requires strong team leadership, including coaching, mentoring, and building internal capabilities.Key ResponsibilitiesArchitecture & DesignDefine node types, relationships, schemas, and property standardsDesign scalable and extensible graph data modelsEstablish ...

clients to understand their business challenges, assess their knowledge landscape, and design production-ready solutions leveraging knowledge graphs, contextual data platforms, graph databases, GraphRAG, ontologies, and semantic technologies.Key ResponsibilitiesEngage with customers to identify business challenges that can be solved through contextual AI and knowledge-driven architectures.Assess enterprise knowledge assets, structured … deploy production-ready enterprise knowledge systems and rapid Proofs of Value (PoVs).Architect enterprise knowledge solutions using knowledge graphs, graph databases, semantic layers, ontologies, metadata management, and contextual data platforms.Design GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures to improve AI reasoning, explainability, and accuracy.Develop scalable ontologies, taxonomies, semantic ...

year. In addition, ChEBI underpins many of the key global biological databases upon which researchers in the biosciences are increasingly reliant such as Gene Ontology (GO), Rhea, UniProtKB, IEDB, Reactome, MetaboLights, SwissLipids, and BioModels. The ChEBI database and ontology is a fundamental component of the global bioscience infrastructure, recognised … Chemical Biology Services team leader, the job responsibilities will include: Curation of entries into ChEBI, paying particular attention to chemical structures and the ChEBI ontology, to ensure the delivery of high quality data Monitoring ChEBIs monthly release process and liaising with technical/software colleagues if problems arise. Monitoring daily ...

function. The Head of AI is responsible for building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible … frameworks for: Hallucination detection Precision and recall of extracted clinical concepts Regression testing across model updates Implement structured output approaches (e.g. schema-constrained generation, ontology-driven formats). Design iterative feedback loops, including human-in-the-loop review where appropriate. Ensure measurable improvements in grounding, explainability, and reliability over time. ...

Capgemini is seeking a Senior Semantic Governance Managing Consultant to define and govern enterprise ontologies, data standards, and semantic models. You will lead workshops with business SMEs, engage executives, and drive reuse across complex client environments. The role demands extensive ontology engineering expertise and hands-on knowledge of semantic technologies. ...