J

JD.com

E-commerce, logistics, and technology platform

Machine Learning Engineer - Fulfillment

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field is required.
  • At least 3 years of professional experience as a machine learning engineer or applied research scientist is required.
  • Experience programming in Java, C++, Python, or a related language is required.
  • Experience with neural deep learning methods and machine learning is required.
  • 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 is required.
  • Effective communication skills in English are required.

Responsibilities

  • Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization.
  • Develop algorithmic solutions to complex forecasting and supply chain problems in 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.

Desired Qualifications

  • Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains is preferred.
  • Hands-on experience with modeling tools such as Python, PyTorch, TensorFlow, and scikit-learn is preferred.
  • Hands-on experience building large-scale distributed machine learning systems such as Hadoop and Spark is preferred.
  • Effective communication skills in Chinese are preferred.

About the Company

JD.com

E-commerce, logistics, and technology platform

JD.com is a large Chinese e-commerce company that sells products directly to consumers and hosts a marketplace where third-party sellers list items. The company relies on its own extensive logistics network to store, pick, pack, and ship orders quickly, offering options such as same-day and next-day delivery. Its platform combines an online store, a marketplace, and technology-enabled services to support its retail and logistics operations. Unlike many competitors, JD.com owns much of its logistics infrastructure and emphasizes supply chain technology to control quality, speed, and efficiency across its products and services, including electronics, healthcare, and property development ventures. The goal is to be a leading, integrated e-commerce and technology platform in China, continually expanding its logistics capabilities, technology solutions, and services for both consumers and third-party sellers.

Company size
10,001+
Company stage
IPO
Headquarters
Haidian, China
Founded
1998

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