MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and optimisation. Building real time pictures/data sets and issuing recommendations based on findings Work on a simulator to reproduce what is happening on real time Predict and capture future demand and maximise resources for clients Building Network state models to provide an understanding of the network in real-time Build a transit time model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3 Years experience An MSc or PhD in a strong STEM subject PROCESS: Intro chat Take home task Task review Founders chat If this role looks of interest, please reach out to Joseph Gregory