Machine Learning Engineer - Fulfilment

JD.COM; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Java

Python

C++

Deep learning

Distributed ML

English communication

Formation

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

Outils

PyTorch

TensorFlow

scikit-learn

Hadoop

Spark

Description du poste

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: https://corporate.jd.com/

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 (https://www.joybuy.com/). 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, 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.

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.