ML Engineer: Demand Forecasting & Replenishment (London)

Aimlroles; Greater London; On-site; GBP 90,000 - 135,000; Full time

Job summary

JD.com is seeking a Machine Learning Engineer to design, develop, and deploy models for demand forecasting and replenishment optimization that impact billions of inventory decisions globally.

You will collaborate with product, engineering, and operations teams in a fast-paced environment to improve forecast accuracy, stock availability, and customer experience. London-based role with onsite work.

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 related language.
• Experience with neural deep learning methods and machine learning.
• Demonstrated ability to work independently with minimal guidance; manage tasks and priorities across multiple projects.
• Effective communication skills in English.

Responsibilities

• 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 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.

Skills

Java

C++

Python

Deep learning

Communication

Education

Bachelor’s degree in Engineering, CS, Math, or related

Tools

PyTorch

TensorFlow

scikit-learn

Hadoop

Spark

Job description

JD.com is seeking a Machine Learning Engineer to design, develop, and deploy models for demand forecasting and replenishment optimization that impact billions of inventory decisions globally.

You will collaborate with product, engineering, and operations teams in a fast-paced environment to improve forecast accuracy, stock availability, and customer experience. London-based role with onsite work.