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 ❯
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 ❯
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 ❯
