13 of 13 Ontologies Jobs in the UK excluding London

harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯

harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯

harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯

principles. Previous experience of implementing clinical standards-based data modelling such as openEHR archetypes/templates, FHIR resource profiling, and clinical terminologies. Experience working with clinical data sets and ontologies in real-world health settings where data models (FHIR, OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases. Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM … Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs. Experience of modelling and mapping data into OMOP format. Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11). Experience with data governance principles and data quality management. Excellent communication and stakeholder management skills, with the ability to lead data More ❯

more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an More ❯

explain complex ideas to non-technical audiences. Strong stakeholder engagement and self-management skills. Familiarity with cloud platforms (AWS preferred) and public sector data practices. Experience with metadata tools, ontologies, data platforms (e.g. lakes, meshes). Use of tools like Visio, Sparx, or frameworks like TOGAF. Knowledge of technical specs, data catalogues, and standards assurance. If you are available and More ❯

TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK EYES ONLY); eligibility for DV/UKIC clearance is a More ❯

team Self-Starter: willing to learn new technologies, ability to learn fast Strong complex problems solving skills Candidate should have some experience or interest in creating data schemas, and ontologies, defining properties and rules for different dataset types to encourage data consistency across the business. Experience with scripting and automation (e.g., Python, SQL, FME). Undergraduate degree in Data Science More ❯

communication skills with ability to engage technical and non-technical stakeholders Desirable Skills • Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher • Familiarity with knowledge representation, ontology design, or neuro-symbolic AI • Prior delivery of LLM-based research projects or integration into operational systems The Package • Up to £70,000 base salary • 10% company bonus • Enhanced pension More ❯

Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply? Work on high-impact, real-world AI research projects with direct applications in security and national infrastructure Collaborate with leading academic and industry partners More ❯

supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to More ❯

supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to More ❯

into AI. While the role doesn’t require a technical background, some experience or knowledge in some of the following would be advantageous: A good understanding of knowledge graphs, ontologies, and semantic technologies. Familiarity with large language models (LLMs) and natural language processing (NLP) principles. Expertise in business analysis. Experience in process modelling, business process management (BPM), digital process management More ❯