Research Fellow in Applied Machine Learning

Leading the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward-level outbreak detection system

• Postgraduate degree, ideally a doctoral degree, in a relevant discipline (e.g. machine learning, data science, epidemiology or another quantitative field)
• Applied experience in machine-learning, with extensive experience of hands-on model development, testing, validation and deployment using real-work datasets in operational environments
• Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development

• Annual leave entitlement is 30 working days per year, pro rata for part-time staff
• Discretionary “Wellbeing Days”
• Membership of the Pension Scheme