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Accountabilities Design and implement software pipelines to deploy ML models on edge devices with real-time inference capabilities. Optimize machine learning models (e.g., quantization, pruning) for edge hardware
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. Our team brings together deep expertise in software engineering, distributed systems, machine learning, and cybersecurity. We work across disciplines; from healthcare predictive models for urban air
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stakeholders Knowledge of new and emerging digital tools and their application within urban planning and design (for example, the growing use of AI/Machine Learning in local planning authorities) Lecturer Grade
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Team Leader, you will play an integral role in shaping a dynamic and practical learning environment. You will contribute to a wide range of student-led projects and research activities, involving
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-grained simulations, advanced sampling, and machine learning for predicting and analysing short-lived protein conformations. Enhance and automate workflows for reproducible simulations and structure-based
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search campaigns within MCC while also utilising the latest machine learning tools provided in platform to maximise campaign scale. In this role you will be the lead for paid search, and asked to plan your