15 of 15 Permanent 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 ❯

knowledge of the application of modern Systems Engineering methods to large-scale system development, including a variety of system types Experience of Systems Engineering technical methods and practices, including ontologies, modelling languages, architecture frameworks, processes and tooling Experience in modern information technology and methods such as cloud, secure by design, triple store databases, etc would be required Degree qualified in 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 ❯

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 ❯

several years of industrial/consulting/postdoc experience Understanding of AI-based approaches Familiarity with data management/data integration approaches of diverse data sets (including database design, ontologies) Competent using Linux, Docker and code version control (e.g. Github) Designing, implementing, optimizing, and maintaining bioinformatics algorithms including bioinformatics pipelines using Nextflow Knowledge and experience of good software development practices 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 ❯

or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice 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 ❯

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 ❯

of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm design and use of relational/graph databases. Knowledge representation and semantic reasoning, including ontology development. Additional Desirable Experience: Hands-on experience with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or More ❯

R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query languages like Cypher or SQL Understanding of ontology design and semantic reasoning approaches If you're driven by complex problems and cutting-edge technology, this is your opportunity to make a lasting contribution. Reference: AMC/SMM/ More ❯

or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice 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 ❯

and operational decision-making. Main Missions: Architect end-to-end data solutions using Palantir Foundry, aligning with business goals and technical constraints. Design scalable and efficient data models and ontologies within Foundry. Define and oversee the development of data pipelines and workflows using Foundry's Pipeline Builder and Code Repositories. Lead integration of external systems and APIs into Foundry for … delivery. Ensure compliance with data governance, security, and privacy standards. Guide junior developers and engineers on Foundry best practices and architectural patterns. Design full-stack applications using Foundry's Ontology and SDKs. Participates in developing application-based solutions to Lear use cases from initial concept/problem statement. Supports the development of a standard toolset to be used across Lear … ITPM) Key Skills and Qualifications: REQUIRED TECHNICAL/PERSONNEL SKILLS : Experience designing scalable data models and ontologies. Understanding of semantic data modelling and entity relationships. Familiarity with Foundry's Ontology SDK, Pipeline Builder, and Code Workspaces. Experience integrating external systems and APIs into Foundry. Knowledge of data transformation, cleansing, and enrichment techniques. Awareness of data privacy, access control, and compliance More ❯