Overview:
The Centre for Modelling & Simulation (CFMS) is a growing, independent digital engineering Research and Technology Organisation (RTO) providing technical expertise to help organisations create cutting edge solutions by pioneering new approaches to product development and enabling innovation services.
Working with commercial and research organisations of all sizes, CFMS has a full portfolio of digital innovation capabilities, including design and analysis services, consultancy, and IT infrastructure, CFMS uses digital innovation across the cyber-physical landscape (including a new Robotics/AI/Computer Vision capability) to help develop more effective engineering solutions across industrial sectors critical to the UK economy.
As a commercially focused organisation we reinvest profits from commercial activity into the continued development of our people, facilities, and research capability.
About the role:
The Machine Learning Engineer’s role will be to develop and implement machine learning models for various robotic, aerospace and energy network applications working on a mix of real and synthetic data. The role will support different types of use cases ranging from image classification on embedded systems to cloud based analysis solutions. In this role, you will support the design and implementation of a whole pipeline for model training, validation, and from cloud to edge based robotic deployments. This will be applied in a range of exciting and first of a kind applications in several sectors including space exploration, industrial inspection and aerospace.
Key Responsibilities:
Experience:
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How to Apply:
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