Machine Learning Engineer - Fulfillment
JD Group plc3 months ago
London, United KingdomMid Level
Responsibilities
- Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfillment optimization.
- Develop algorithmic solutions to complex forecasting and supply chain problems with product, engineering, and operations teams.
- Contribute to the technical direction, model architecture, system design, and engineering best practices of the fulfillment intelligence platform.
- Work onsite in London, UK.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical field.
- At least 3 years of professional experience as a machine learning engineer or applied research scientist.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
- Ability to work independently, manage priorities across multiple projects, execute efficiently, and collaborate cross-functionally.
- Effective English communication skills.
- Preferred: experience in e-commerce, retail forecasting, fulfillment logistics, inventory planning, or similar domains.
- Preferred: hands-on experience with PyTorch, TensorFlow, scikit-learn, Hadoop, and Spark.
- Chinese communication skills are preferred.
Benefits
- Competitive salary and a supportive, people-first culture.
- Global projects and learning opportunities.
- Inclusive, equal-opportunity workplace.
- Onsite work arrangement in London, UK.
Tech Stack
Categories
About JD Group plc
JD Gyms operates a network of low-cost fitness clubs across the UK, offering modern equipment and group exercise classes via monthly memberships. Founded in 2014 and headquartered in Wigan, England, the company is owned by JD Sports Fashion plc. Its sites use equipment from multiple suppliers, including Technogym and Life Fitness, to provide broad strength and functional training options.