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:

1. Intro chat
2. Take home task
3. Task review
4. Founders chat

If this role looks of interest, please reach out to Joseph Gregory