ML Engineer: Demand Forecasting & Inventory Optimisation

JD.COM; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JD.com in London, UK is seeking a Machine Learning Engineer focused on demand forecasting, replenishment optimisation, and supply chain decision intelligence to design, develop, and deploy models impacting billions of dollars’ worth of global inventory decisions.

The role emphasizes collaboration with product, engineering, and operations teams, high-impact experimentation, and building scalable systems in a fast-paced retail tech environment.

Qualifications

• 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 a 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.

Responsibilities

• Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimisation.
• 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.

Skills

Java

Python

C++

Deep learning

Distributed ML

English communication

Education

Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field

Tools

PyTorch

TensorFlow

scikit-learn

Hadoop

Spark

Job description

JD.com in London, UK is seeking a Machine Learning Engineer focused on demand forecasting, replenishment optimisation, and supply chain decision intelligence to design, develop, and deploy models impacting billions of dollars’ worth of global inventory decisions.

The role emphasizes collaboration with product, engineering, and operations teams, high-impact experimentation, and building scalable systems in a fast-paced retail tech environment.