Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization.
Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering, and operations teams.
Contribute to the technical direction of the fulfilment intelligence platform and influence model architecture, system design, and best practices.
Work onsite in London, UK.

Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical field
3+ years of professional experience as a machine learning engineer or applied research scientist
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Demonstrated ability to work independently with minimal guidance; proactively manage tasks and priorities across multiple projects; analyze and execute work efficiently; collaborate effectively with cross-functional teams; and thrive in fast-paced, results-driven environments.
Effective communication skills in English.
Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains (preferred)
Hands-on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn (preferred)
Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark (preferred)
Effective communication skills in Chinese (preferred)

Machine Learning Engineer – Fulfillment

Key skills