Machine Learning Engineer - Fulfillment
Role details
Job location
Tech stack
Job description
We are building a next-generation inventory prediction & replenishment optimization platform to support JD's global fulfilment services. We are looking for a Machine Learning Engineer who are passionate about turning machine learning, and research into real, large-scale business impact.
As a Machine Learning Engineer focusing on demand forecasting, replenishment optimization, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of worth of global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience., * 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.
Requirements
Do you have a Bachelor's degree?, * 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.
Preferred Qualifications
- Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains.
- Hands-on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn etc.
- Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.
- Effective communication skills in Chinese.
Benefits & conditions
Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you'll have the space to shape the future with us.