18 of 18 Ontologies Jobs in London

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 ❯

the job 1. Data Pipeline Development & Integration Design, build, and maintain robust, scalable, and secure data pipelines from multiple clinical and operational sources into the FDP 2. Data Modelling & Ontology Management Develop and maintain semantic data models (e.g., ontologies in Palantir Foundry) that map complex healthcare concepts (patients, episodes, care settings) into usable analytics objects. 3. Federated Data Platform (FDP 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 ❯

Physics, Maths, Data Science. Proficiency in Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical and military/non-technical stakeholders Experience integrating data from multiple sources into Foundry via … for us to process and submit your application to our client in conjunction with this vacancy only. KEY SKILLS: PALANTIR/FOUNDARY/DATA ENGINEER/PIPELINE BUILDER/ONTOLOGY/PYTHON/TYPESCRIPT/FULL STACK/DV CLEARED/LONDON/CONTRACT 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, computer 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 ❯

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 ❯

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines … extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies , including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies , with hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of More ❯

Role = Ontology Consultant Duration = Initial 6-month contract Location = UK (Remote) Job Spec Key Responsibilities Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines … extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies , including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies , with hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of 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 ❯

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 ❯

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 ❯

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 ❯

Vacancy for Archival Metadata Specialist at The National Archives UK 30 April 2023 London Fixed Term The National Archives is seeking an Archival Metadata Specialist to join the research project Our Heritage, Our Stories: Linking and searching community-generated digital More ❯

Role: Ontology Consultant Duration: Initial 6-month contract Location: UK (Remote) Duties Key Responsibilities: Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines and … extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies, including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies, with hands-on experience in both Semantic Graph and Property Graph systems. Solid understanding of More ❯