26 to 50 of 141 Ontologies Jobs in the UK

schemas, and project lifecycles (Agile preferred)Bonus Points ForHands-on experience with data modelling tools such as Erwin, Sparx, Visual ParadigmExperience working with ontologies and knowledge of RDF/OWL/TTLExposure to Python or SQL scripting in support of data model designKnowledge of data governance and enterprise metadata integration ...

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 ...

data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM) Exposure ...

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; understanding of biomedical ontologies or knowledge graph applications; knowledge of FDA and EMA regulatory frameworks and data privacy considerations; background in computational biology, biostatistics, or a related scientific discipline; familiarity ...

other cloud-native platforms. Event-driven architectures and asynchronous messaging. Istio, mTLS or service mesh technologies. Knowledge of semantic search, knowledge graphs or ontology-based solutions. Mandatory Requirements Current DV Security Clearance. Ability to work onsite at an MOD location in London four days per week. Previous experience delivering within ...

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 ...

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 Translate business needs into requirements for AI/analytics solutions (e.g. decision support, predictions, recommendations, GenAI copilots ...

tight loop between lab execution and the discovery AI. Model chemistry as data. Architect graph models for complex reaction networks, define the semantic ontologies that let AI reason across different chemical data types, and design vector search (e.g. pgvector, Pinecone) for similarity lookups across large molecular sets. Design the telemetry ...

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 ...

field environments, including data capture, experimentation, trial execution, automation, sensors, imaging, geospatial data, and data standards. Knowledge of data integrity, discoverability, metadata, taxonomy/ontology, traceability, provenance, auditability, and quality controls across data pipelines. Experience working with data governance, security, architecture, quality, compliance, and regulatory requirements. Strong stakeholder management ...

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 ...

catalogue initiatives. Able to produce client-ready architecture documents and written review responses without editorial support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset ...

catalogue initiatives. Able to produce client-ready architecture documents and written review responses without editorial support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset ...

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 ...

payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. We don't expect all of it. We do expect curiosity about it. Why join ...

analytics. You will champion data democratization, mentor staff, and align cross-functional teams on standards. As a senior leader, you will drive taxonomy, ontologies, and data models, orchestrate complex migrations, and design scalable, secure data pipelines while partnering with #J-18808-Ljbffr ...

target architecture, governance, and technology roadmap. You will lead interviews with business and tech teams, document data flows, assess data quality, and contribute to ontology design for AI/analytics while using Python and LLMs to automate analysis where appropriate. #J-18808-Ljbffr ...

data and the life science/healthcare industry. Knowledge of HIPAA and data privacy laws and best practices. Deep understanding in key medical coding ontologies (e.g., ICD-10, NDC RxNorm Knowledge and experience in leveraging AI tools to support data generation, interpretation and validation activities Ability to work ...

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 ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

What you'll doOwn large areas of the platform end to end, from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain ...

Proficient in at least one programming language—ideally Python—with experience in common ML libraries.* Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).* Comfortable working with relational, NoSQL, and graph databases.* Strong data-processing skills, including cleaning, filtering, and feature extraction.* Clear communicator with strong ...