6 of 6 Ontologies Jobs in Scotland

## Ontology FDOApply: Glasgow: Full time: Posted Today: JR1044929**Job Summary:** Client is seeking a **Graph Engineer/Ontologist** to support the design, development, and implementation of enterprise knowledge graphs and semantic data solutions. The role will involve translating complex business and regulatory concepts into robust ontologies, graph models … teams, and business stakeholders to create scalable graph-based solutions in a highly regulated financial-services environment.**Key Responsibilities:**· Design and develop knowledge graphs, ontologies, taxonomies, and semantic information models.· Translate business, operational, financial, and regulatory requirements into formal graph and ontology specifications.· Define entities, relationships, attributes, constraints, classifications ...

business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating. Build AI services: Lead the hands-on design, coding ...

sync with reality has consequences. Previous experience in AI drug discovery is a genuine differentiator for us. Interest in semantic technologies (graph databases, ontologies) or modern data stack. Experience enabling analytics teams by building data models for BI tools and dashboards. Familiarity with Infrastructure as Code (AWS CDK or Terraform ...

agent/LLM evaluation (eval datasets, automated and expert‐in‐the‐loop scoring, regression testing). Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred Experience Prior ...

complex modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers … requirements, including versioning, reproducibility and tensor-based workflows for large-scale AI systems. Experience implementing data governance in practice, including metadata management, lineage, provenance, ontologies, cataloguing and FAIR principles and familiarity with Trusted Research Environments (TREs) and controlled-access research data environments. Strong collaboration and influencing skills across technical ...

implement enterprise knowledge graphs and semantic data products in a regulated financial services environment. You will translate complex business and regulatory concepts into ontologies and graph models, collaborating with data engineers, developers, risk and compliance teams, and business stakeholders to deliver scalable solutions. #J-18808-Ljbffr ...