Possesses a strong skill level in Data Architecture and Data Modelling across different perspectives (Conceptual/Logical/Application Data) Understanding of metamodels, taxonomies, ontologies, and challenges of applying structured techniques (data modelling) to less-structured sources Knowledge in user experience modelling, information design, and concept generation Must be competent More ❯
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 More ❯
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 More ❯
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 More ❯
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 and associate experiences. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Bachelor's degree in Computer Science, Engineering More ❯
team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. We are seeking a skilled and experienced Senior Product Manager for our More ❯
team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. We are seeking a skilled and experienced Senior Product Manager for our More ❯
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 More ❯
a key objective for the team. Experience: Data Modelling: Developed physical, logical or conceptual data models; Designed databases; Produced data flow diagrams; Worked with ontologies or knowledge graphs; Used UML/Visio/Express-G/Sparx/other modelling tools Data Standards: Developed data standards in support of data More ❯
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 More ❯
improvement opportunities through automation and simplification. Champion the use of new tools and techniques to realize emerging data opportunities and leverage the latest data ontology thinking and techniques to access new data assets. Develop and lead a team of analysts/data specialists who are the go-to experts on More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems Applied Intelligence
knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work More ❯
team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Senior Product More ❯
knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems (New)
knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one More ❯
knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work More ❯
knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python Essential: Experience with at least one More ❯
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 More ❯
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 More ❯
quick POVs for implementation/adoption Experience in scaling technology solutions aimed at solving complex business problems using semantic technologies preferably Knowledge Graphs and Ontology Engineering Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles Strong technical team More ❯
intelligence analyst to join its intelligence team. We are an emerging technology company specialising in identifying uncharted risk across the globe. Using our threat ontology we provide near-real-time monitoring and analysis of threat actor activity anywhere on Earth. Roles and responsibilities: 'Owning' Disruptive's specialist knowledge base on More ❯
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 More ❯
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 improve customer and associate experiences BASIC QUALIFICATIONS - 5+ years of data engineering experience - Bachelor's degree in Computer Science More ❯
development experiences in large-scale academic projects and/or industry environment Data management in large scale and heterogeneous data spaces Clinical Informatics Biomedical ontologies/Semantic Web technologies Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature Knowledge of machine learning/ More ❯
As the Lead Enterprise Architect for Data & AI, you will be responsible for defining and driving an enterprise-wide data and information architecture strategy. Your role will ensure data platforms, governance frameworks, and information assets are fully aligned with the More ❯
