26 to 37 of 37 Ontologies Jobs in England

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 ❯

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 ❯

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 ❯