1 to 25 of 29 Ontologies Jobs in England

Design and develop Conceptual, Logical, and Physical Data Models to support robust data architectures. Produce high-quality documentation including data dictionaries, database designs, and data flow diagrams. Work with Ontologies and Knowledge Graphs to enhance semantic understanding of data. Utilise modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Apply modelling languages such as UML or Express-G to … experience in data modelling, including development of conceptual, logical, and physical data models. Strong ability to create and interpret data dictionaries, database designs, and data flow diagrams. Familiarity with ontologies and knowledge graphs in a data architecture context. Proficiency in using modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Competency in modelling languages such as UML and Express More ❯

data cataloging, metadata governance, or data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM) Exposure to the Bloomberg Terminal, Bloomberg API 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 ❯

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 ❯

and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. More ❯

and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. 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 ❯

legitimacy of data; identify continuous improvement opportunities through automation and simplification. Champion the use of new tools and techniques to realize emerging data opportunities and leverage the latest data ontology thinking and techniques to access new data assets. Develop and lead a team of analysts/data specialists who are the go-to experts on all aspects of governance, insights 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 ❯

We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation … We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate and customer experiences. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - Master's degree in computer science, machine More ❯

We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation … We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate and customer experiences. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - Master's degree in computer science, machine 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 ❯

implement knowledge extraction. Benchmark and tune state-of-the-art LLMs for performance and cost efficiency. Incorporate trends like instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; implement improvements. Own the ML-Ops for your Pod. Develop experiments for model evaluation and continuous More ❯

stakeholders. Data Integration: Connect and harmonise data from multiple sources into Palantir Foundry, ensuring clean, reliable, and compliant data pipelines by utilising Pipeline Builder and Python within Code Repositories. Ontology Development: Design and manage ontologies within Foundry to create logical data structures that enhance accessibility and usability. The ability to understand how data should be structured, including Link Types and 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 ❯

a remote Data Curator for a large pharmaceutical company on an Outside IR35 contract. The key experience required for this Data Curator role is: Data curation Data management Python Ontology If you do have the relevant experience for this remote Data Curator role, please do send through your CV. 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 ❯

QUALIFICATIONS - Experience as a transcriber or annotator - Quick in adapting to new processes and workflows - Writing/editing experience and familiarity with content production processes - Experience/Familiarity with ontologies and/or knowledge representations - Experience/Familiarity in SQL - Experience in a technical support or similar role Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

of experience as a transcriber or annotator - Quick in adapting to new processes and workflows - Writing/editing experience and familiarity with content production processes - Experience/Familiarity with ontologies and/or knowledge representations - Experience/Familiarity in SQL - Experience in a technical support or similar role Amazon is an equal opportunities employer. We believe passionately that employing a More ❯