9 of 9 Permanent 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 ❯

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 ❯

learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using 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 ❯

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 ❯

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 ❯

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 ❯