1 to 25 of 33 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

analytics, automation + operational decision making. Design, develop + maintain end-to-end data pipelines using Palantir Foundry (Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic … layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards + end user analytical experiences. Implement automated testing, CI/CD patterns + deployment best practices for Foundry-based data assets. Technical Environment: Data Engineering ...

platform. You will collaborate with platform teams and client estates in a hybrid setup combining offices, client sites, and remote work. You will own ontology, graph pipelines, embeddings, and retrieval, ensuring data governance, security, and scalable performance. The role emphasizes production readiness and measurable improvements in AI tooling. #J ...

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 ...

Title: Knowledge Graph and Ontology Specialist Posting Start Date: 08/09/2026 Job Id: 3075 School/Department: Advanced Manufacturing Research Centre Work Arrangement: Full Time (Hybrid) Contract Type: Fixed-term Closing Date: 06/10/2026 The University of Sheffield is a remarkable place to work. … experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data. You will join the AMRC at the University of Sheffield, as part ...

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 ...