26 to 50 of 125 Ontologies Jobs in England

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 ...

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 ...

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 ...

person on site Nice to Haves You\'ve done this at a field-heavy data or AI company Experience with knowledge graphs, semantic layers, ontologies, or entity resolution Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector) Enough Python or SQL to prototype in front ...

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 ...

data pipelines within Palantir Foundry Ingesting, transforming and enriching batch, streaming, real-time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code … Strong commercial experience with Palantir Foundry Experience with Palantir Gotham Data engineering experience across ETL, pipelines and workflow orchestration Strong understanding of data modelling, Ontology design and database optimisation Experience working with varied data sources and formats Proficiency in Python and/or TypeScript Understanding of CI/ ...

data pipelines within Palantir Foundry Ingesting, transforming and enriching batch, streaming, real-time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code … Strong commercial experience with Palantir Foundry Experience with Palantir Gotham Data engineering experience across ETL, pipelines and workflow orchestration Strong understanding of data modelling, Ontology design and database optimisation Experience working with varied data sources and formats Proficiency in Python and/or TypeScript Understanding of CI/ ...

data pipelines within Palantir Foundry Ingesting, transforming and enriching batch, streaming, real-time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code … Strong commercial experience with Palantir Foundry Experience with Palantir Gotham Data engineering experience across ETL, pipelines and workflow orchestration Strong understanding of data modelling, Ontology design and database optimisation Experience working with varied data sources and formats Proficiency in Python and/or TypeScript Understanding of CI/ ...