At a Glance
- Tasks: Design and develop machine learning models for demand forecasting and supply chain optimisation.
- Company: Join JD.com, a leading tech and service provider transforming e-commerce.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Work onsite in London and collaborate with innovative teams.
- Why this job: Make a real impact on global inventory decisions and enhance customer experiences.
- Qualifications: Bachelor's degree in a technical field and 3+ years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
JD. com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core.
Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions.
Know more about us
We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large-scale business impact to build a next-generation inventory prediction & replenishment optimisation platform at Joybuy ( Joybuy is JD. com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience.
Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers.
As a Machine Learning Engineer focusing on demand forecasting, replenishment optimisation, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of dollars ' worth of global inventory flow decisions.
Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience.
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.
- Minimum 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.
- Preferred Qualifications
- Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains.
- Hands-on experience with modelling tools such as Python, Py Torch, Tensor Flow, scikit-learn etc.
- Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.
- Effective communication skills in Chinese.
JD. com is committed to creating a diverse environment and is proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Machine Learning Engineer - Fulfilment in London employer: JD.COM
JD.COM is an exceptional employer that prioritises professional growth and inclusivity within its overseas e-commerce team. With a focus on innovation in algorithm architecture, employees benefit from competitive salaries, a supportive work culture, and opportunities to engage in cutting-edge projects that enhance their skills in real-time data processing and microservices.
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