1 to 25 of 43 Remote/Hybrid Ontologies Jobs in the UK

data products aligned to business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong ...

data products aligned to business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong ...

lineage and constraintsEnsure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention)Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understandingHelp ensure AI use cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector specific ...

constraints* Ensure requirements include **data quality, metadata and governance needs** (e.g. definitions, business rules, reference data, retention)* Contribute to and consume **business glossaries, ontologies and data catalogues** to ensure consistent terminology and understanding* Help ensure AI use cases comply with **data privacy, security and regulatory requirements** (e.g. GDPR, sector specific ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding of scientific, research, preclinical, and clinical information across systems. Enable advanced analytics, scientific ...

Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-throughput Streaming & Backend Services: Build scale, fault-tolerant ...

sync with reality has consequences. Previous experience in AI drug discovery is a genuine differentiator for us. Interest in semantic technologies (graph databases, ontologies) or modern data stack. Experience enabling analytics teams by building data models for BI tools and dashboards. Familiarity with Infrastructure as Code (AWS CDK or Terraform ...

analytics platform. E.g from functional genomics and perturbation screens, molecular profiling and expression atlases, genomic and functional annotations, and curated interaction, pathway and ontology resources. Implement production quality code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement ...

closely with engineering, data, and AI teams to clarify requirements, unblock delivery, and ensure platform quality Define and enforce governed taxonomies, metadata models, and ontologies to ensure findability, consistency, and AI-readiness across knowledge assets Establish data contracts between knowledge producers and consumers, capturing lineage, quality standards, source ownership ...

aligning technical outcomes with business value Nice to have Experience applying AI in drug discovery, safety monitoring or clinical development contexts Understanding of biomedical ontologies or knowledge graph applications Knowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerations Background in computational biology, biostatistics or related scientific discipline ...

remediation backlogDefine and enforce remediation SLAsCollaborate with engineering and domain teams to resolve quality issuesEstablish governance processes for ongoing quality assuranceCollaborationPartner with data engineering, ontology, and AI teamsAlign quality standards with enterprise data governance frameworksPromote best practices in data quality management and validationRequired SkillsData Quality Frameworks (profiling, validation, governance)Graph ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

backlog About the Company A Boston-based financial intelligence platform that's doing something genuinely different: not another reporting dashboard, but an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a clear, unified picture of profit, cost, and operational performance. Early-stage but well-funded ...

loosely-joined ones. Map the data estate: work alongside the customer's quants, data owners and domain specialists to understand the estate and its ontology, and the opportunities to leverage that data. Quantify the gains: size the gains in latency, throughput, scalability and cost credibly enough to survive the customer ...

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 ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

JavaScript frameworks such as Vue, React, or Angular. Proficiency working in a HPC bioinformatics environment. Experience of working with clinical data and/or ontologies Experience of training people to use web tools or supporting users seeking assistance through a helpdesk system Hybrid Working At EMBL-EBI, we are pleased ...

JavaScript frameworks such as Vue, React, or Angular. Proficiency working in a HPC bioinformatics environment. Experience of working with clinical data and/or ontologies Experience of training people to use web tools or supporting users seeking assistance through a helpdesk system Hybrid Working: At EMBL-EBI, we are pleased ...

# 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 ...

Lightcast seeks a Product Manager for the Knowledge Platform to drive strategy and development of our knowledge-layer capabilities across taxonomy, ontology, analytics, and AI-powered data products. You will translate customer problems into product direction, collaborate with engineering and analytics teams, and ensure high-quality data-driven outcomes. ...

contract drafting, review, and negotiation AI powered by your legal knowledge. We turn a firm's guidance, precedent, and language into a legal ontology, ground our models in it, and run complex drafting, review, and search workflows directly within Microsoft Word and in the browser. We serve top law firms ...