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
