1 to 25 of 37 Ontologies Jobs in England

AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why More ❯

AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why More ❯

For Certifications in data or cloud architecture (e.g., AWS, Azure, GCP, Databricks) Experience with data lake design, large-scale data migrations , or regulatory data initiatives Familiarity with semantic modelling, ontologies, or graph data concepts (RDF, OWL, TTL) Exposure to Python or SQL for model design and validation Background in financial services, energy, or large-scale enterprise transformation Why Join? Deliver More ❯

engineering challenges into clear business outcomes. Master's or PhD in Computer Science, Machine Learning, or related technical discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing, deploying, and integrating ML solutions in enterprise ecosystems. Exposure to LLM and GenAI engineering (fine-tuning, vector search, distributed inference). Experience optimizing GPU clusters, distributed training, or More ❯

business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences More ❯

BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯

BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯

and non-technical audiences. Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ More ❯

levels) Extensive knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Deep experience in Python, Data Modelling, Data Integration, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs for Biopharma end users Strong communication skills to engage across leadership, scientific More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

data domains, ensuring accurate mapping to Microsoft Fabric and Purview. Enterprise Data Models Co-lead with data architects on developing enterprise and system-supporting data models. Identify and define ontology, semantics, and support knowledge graph initiatives. Contribute to logical data modelling and co-own master data management frameworks. Maintain documentation in Confluence and support business updates for reports and models. More ❯

data domains, ensuring accurate mapping to Microsoft Fabric and Purview. Enterprise Data Models Co-lead with data architects on developing enterprise and system-supporting data models. Identify and define ontology, semantics, and support knowledge graph initiatives. Contribute to logical data modelling and co-own master data management frameworks. Maintain documentation in Confluence and support business updates for reports and models. More ❯

manager for renewable energy portfolios across wind, solar, and storage. It creates a structured understanding of each asset by linking operational data, commercial contracts, and regulatory rules through an ontology-led intelligence layer. This gives owners and managers clear, reliable answers on obligations, performance, risks, and required actions. Amplytic also automates the routine work that slows asset management down: tracking More ❯

model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely More ❯

Deployed Engineer, Palantir FDE Strong programming skills in Python , SQL , and optionally Java/Scala Hands-on experience with Palantir Foundry tools , including: Code Repositories, Pipeline Builder, Code Workbook Ontology Management, Contour, Solution Designer, Data Lineage Data Health, Data Connections, Egress Policies Experience in end-to-end solution development , from planning to scaling Strong understanding of data architecture , including data More ❯

the design and technically overseeing implementation of complex IT requirements and technology solutions and services. Expert in the application and tailoring of a variety of Architecture frameworks, development methodologies, ontologies and languages in use in Defence such as NAF, UAF and Archimate/SysML, and production of relevant architecture views (Enterprise, Business, Technology) Strong awareness of supporting technologies, enablers and More ❯

state client operations (e.g. finance, healthcare claims, lending, compliance) Architect AI-native workflows and digital operating models Define domain-specific data and process models in partnership with ML/ontology teams Align domain roadmaps with platform capabilities and product vision Present and evangelise solutions to executive stakeholders What experience you'll bring: Solid experience of BPS in Finance/Banking More ❯

state client operations (e.g. finance, healthcare claims, lending, compliance) Architect AI-native workflows and digital operating models Define domain-specific data and process models in partnership with ML/ontology teams Align domain roadmaps with platform capabilities and product vision Present and evangelise solutions to executive stakeholders What experience you'll bring: Solid experience of BPS in Finance/Banking More ❯

Ontologist is required by a specialised data consulting organisation to join their team working on a large scale data governance programme and be responsible for designing, implementing, and maintaining ontologies and taxonomies that enable data integration, interoperability, and insight across multiple business domains. You will be responsible for: Designing and maintaining ontologies and taxonomies to support data integration and consistency … graph applications. Developing and promoting standards for data interoperability to enable seamless data exchange and integration across the organization. Ensuring data quality and consistency by implementing validation rules and ontology-driven quality checks. Using ontology development and data curation tools to design, build, maintain, and visualize ontologies, taxonomies, and controlled vocabularies. Applying enterprise data modelling and cataloguing tools to ensure … alignment between metadata, ontologies, and business data assets. Supporting knowledge graph and graph database initiatives, ensuring ontologies underpin scalable, AI-ready data architectures. Collaborating closely with stakeholders to gather requirements and align ontological models with business objectives. Required experience and skills: Proven experience designing and managing ontologies and taxonomies across complex data programmes. Strong understanding of semantic web standards and More ❯

and proving, supported with effective documentation Experience of new tools, techniques and approaches that might enable us to evolve our processes to improve our efficiency and sustainability Experience in ontologies and Domain specific languages Responsibilities: This is a very hands-on role and requires the continued design and development of new and evolving software tools and architectures, and the instantiations More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

services to customers, offering guidance on data attributes, integration strategies, and system optimisation. Documentation & Standards: Collate, analyse, assess and summarise current and emerging NATO documentation related to data models, ontologies, governance, processing, and third party integration. Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with NATO and other customer … experience for this role are: Domain Expertise: Proven experience in data integration, system interoperability, and technical advisory roles-ideally within defence and intelligence sectors. Strong understanding of data models, ontologies, and standards relevant to NATO and allied environments. Experience working with national security and defence organisations. Citizenship of a NATO nation with the ability to obtain a security clearance. Technical More ❯