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 ❯
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 ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Rullion Engineering Cumbria
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 ❯
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 ❯
Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and More ❯
Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and More ❯
Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and More ❯
and maintenance of the large-scale pipelines and workflows. Ensure robust data processing pipelines and workflows for handling large-scale genomic data. Familiarity with target validation approaches such as ontology & pathway enrichment, gene and protein annotations, disease-phenotype associations. The Company Optima Partners is an advanced data and business consultancy headquartered in Edinburgh, UK. We are practitioner led and partner 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 ❯
of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven 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 ❯
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 ❯
Sharnbrook, Bedfordshire, United Kingdom Hybrid / WFH Options
Unilever Brazil
several years of industrial/consulting/postdoc experience Understanding of AI-based approaches Familiarity with data management/data integration approaches of diverse data sets (including database design, ontologies) Competent using Linux, Docker and code version control (e.g. Github) Designing, implementing, optimizing, and maintaining bioinformatics algorithms including bioinformatics pipelines using Nextflow Knowledge and experience of good software development practices More ❯
or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice 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 ❯
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 ❯
of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm design and use of relational/graph databases. Knowledge representation and semantic reasoning, including ontology development. Additional Desirable Experience: Hands-on experience with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
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 ❯
R&D funding Desirable Skills: Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), knowledge graph tools (e.g. Neo4j) Familiarity with query languages like Cypher or SQL Understanding of ontology design and semantic reasoning approaches If you're driven by complex problems and cutting-edge technology, this is your opportunity to make a lasting contribution. Reference: AMC/SMM/ More ❯
or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice 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 ❯
Teddington, Middlesex, United Kingdom Hybrid / WFH Options
Digital Preservation Coalition
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 ❯