Machine Learning Engineer

We are working with an exciting AI startup that focuses on using digital twin technology to predict and capture future demand, thereby maximising resources amongst transport networks.

• Deliver technical work around simulation and optimisation, building real-time pictures/data sets and issuing recommendations based on findings.
• Develop a simulator to reproduce real-time events.
• Predict and capture future demand, and maximise resources for clients.
• Build network state models to provide an understanding of the network in real-time.
• Establish a transit time model to examine historical data and uncover real-time system dynamics through live components.
• Apply predictive modelling to forecast passenger flow.
• Work with a mix of classical ML, simulation optimisation, and deep learning techniques.

• Proven experience in optimisation and/or simulation.
• A strong background in classical machine learning.
• At least 3 years of experience.
• An MSc or PhD in a strong STEM subject.

• Initial chat.
• Take-home task.
• Task review.
• Founders' chat.