1 to 25 of 112 Ontologies Jobs in England

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 ...

/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software‐engineering practices About Us Tropic is one of the world’s leading agricultural ...

Lake, Azure Data Factory, dbt, Airflow, MLflow, Power BI, Microsoft Purview or comparable tools. Experience with search indexes, vector databases, graph databases, knowledge graphs, ontologies or master-data-management techniques. Experience with MLOps, model monitoring, experimental design, causal inference, forecasting, recommendation systems or optimisation. Experience with legal, financial, client, market ...

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 ...

state assessments, architecture diagrams, data inventories and maturity assessments. Define the high-level target data architecture, technology stack and governance framework. Contribute to data ontology design for AI/analytics use cases and the overall data strategy roadmap. Present findings and recommendations to senior client stakeholders and support stakeholder sign ...

/or Azure, alongside modern platforms such as Snowflake. Experience designing architectures for unstructured data, knowledge graphs, semantic models, metadata frameworks, taxonomies, ontologies, or enterprise search solutions using technologies such as RDF, OWL, SPARQL, or similar. Understanding of AI technologies, including large language models, vector databases, semantic search and Retrieval ...

generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such as AWS Certified AI Practitioner ...

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 ...

including large-scale, incremental, and change-data ingestion. Experience with enterprise content ecosystems: SharePoint, ideally Power Platform/Power Automate. Knowledge representation, taxonomies/ontologies, and versioned/temporal data. Understanding of how data structures feed RAG and LLM retrieval quality. SQL proficiency; experience with orchestration tools (e.g., Airflow ...

platform evolution by onboarding new sources, refining deployment templates/workflows, and mentoring engineers on engineering standards. Designing and maintaining a business data ontology with canonical entities, relationships, and shared vocabulary. Stakeholder Engagement & Communication Build and maintain trusted relationships with business stakeholders, data product owners, and reporting teams – acting ...

maintain knowledge graph structures that reflect canonical domain models. Develop and manage graph database schemas, queries, and data ingestion pipelines. Ensure semantic consistency between ontology definitions and downstream data products. AI & Vector Infrastructure Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space. Build ...

maintain knowledge graph structures that reflect canonical domain models Develop and manage graph database schemas, queries, and data ingestion pipelines Ensure semantic consistency between ontology definitions and downstream data product AI & Vector Infrastructure Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space Build ...

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 ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

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 ...

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 ...

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 ...

registers, naming standards (BDNS/Uniclass), and point schedules. Experience producing technical specifications, test procedures, commissioning documentation, and system integration documentation. Understanding of building ontologies and data standards, including UDMI, Brick Schema, and Project Haystack. Awareness of OT cybersecurity principles, including IEC 62443, PKI, and TLS certificate management. Experience installing ...

experience in several of the following: Discovery biology laboratory systems, instrumentation integration, laboratory automation, ELN and LIMS capabilities FAIR research data, metadata, data lineage, ontologies, semantic standards and scientific knowledge management Joint delivery with data, data science and AI organizations, including data-product operating models, advanced analytics, responsible AI, model ...

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 ...