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