9 of 9 Ontologies Jobs in the North West

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 ...

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 ...

Accenture UKI Finance RP is seeking a Finance Data Engineer to design and manage the finance data ontology and data products sourced from ERP and EPM systems. You will build secure, governed data services for AI, analytics and decision intelligence, enabling auditable and scalable data flows. The role requires deep ...

such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will ...

models, including OMOP and/or FHIR. Experience transforming and remodelling data between different Common Data Models (CDMs). Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes. Experience contributing to shared codebases and developing reusable, maintainable data solutions. Proficiency in Python and software engineering ...

differentiated career path that is difficult to develop in a purely technology-focused role. Purpose of the role Responsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. Responsibilities Build and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account, cost centre and forecast line, and the relationships between them, including controlled vocabularies, business glossaries, hierarchy history, ownership ...

Kintec Global Recruitment seeks an AI and Knowledge Graph Engineer in Manchester, UK. This contract role focuses on designing knowledge graphs, ontology, and robust AI features that are production-ready. You will build graph-backed retrieval, ensure evidence-grounded outputs, and optimize data pipelines for scalable, secure systems. You will ...

Graph Engineer, you will design and build the platform's knowledge representation and the AI capabilities that sit on top of it. This includes ontology and schema design, entity resolution, retrieval, evaluation, and ensuring robust production behaviour of AI-assisted features. Applicants must have delivered AI features into production … measured their impact, not only prototyped them. Main Responsibilities Knowledge Graph Design Design ontology and schema: entities, relationships, attributes, and the rules that constrain them. Model provenance so every assertion can be traced to its source document, extraction run, and confidence. Plan schema evolution and migration, keeping historical data queryable ...

Product Manager, Knowledge Platform drives strategy and development of Lightcast's knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product judgement, technical … data-focused products, including product strategy, discovery, and/or delivery. Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems. Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders. Ability to work directly with data, including exploratory analysis ...