4 of 4 Remote Ontologies Jobs in London

data catalogue and business glossary that supports data sharing across markets. Visible measures of metadata creation and usage. A comprehensive set of up to date supporting artefacts i.e. documentation, ontologies, taxonomies, classifications. User-friendly representation of current Markets data model with appropriate connections to relevant artefacts. Raised awareness of Markets’ data definition issues and standards governance framework. Coordinated data governance … skills, both oral and written. Working knowledge of at least one common metadata standard. Knowledge of user experience design (usability) for data entry and reporting. Experience building and managing ontologies and exposure to metadata/taxonomy tool/system. Behaviours We'll assess you against these behaviours during the selection process: Changing and Improving Leadership Communicating and Influencing Managing a More ❯

data catalogue and business glossary that supports data sharing across markets. Visible measures of metadata creation and usage. A comprehensive set of up to date supporting artefacts i.e. documentation, ontologies, taxonomies, classifications. User-friendly representation of current Markets data model with appropriate connections to relevant artefacts. Raised awareness of Markets’ data definition issues and standards governance framework. Coordinated data governance … skills, both oral and written. Working knowledge of at least one common metadata standard. Knowledge of user experience design (usability) for data entry and reporting. Experience building and managing ontologies and exposure to metadata/taxonomy tool/system. Behaviours We'll assess you against these behaviours during the selection process: Changing and Improving Leadership Communicating and Influencing Managing a 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 ❯