At a Glance
- Tasks: Design and develop machine learning models for demand forecasting and supply chain optimisation.
- Company: Join JD.com, a global leader in technology and logistics with a people-first culture.
- Benefits: Competitive salary, great location, and opportunities for personal and professional growth.
- Other info: Collaborative team environment with a focus on innovation and career development.
- 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 machine learning experience.
The predicted salary is between 60000 - 80000 £ per year.
Who We Are
At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.
Our Global Reach
JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.
What We Offer
Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.
About The Team
You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are building a next-generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large-scale business impact.
As a Machine Learning Engineer focusing on demand forecasting, replenishment optimization, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of 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 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 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 modeling 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.
At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
Ready to apply? Take the next step in your career, apply now and explore the opportunities we have to offer.
Machine Learning Engineer - Fulfillment in London employer: JD.COM
At JD.com, we pride ourselves on being a forward-thinking employer that champions innovation and personal growth. Our London office offers a vibrant work culture where collaboration and creativity thrive, alongside competitive salaries and access to global projects. Join us to make a meaningful impact in the world of technology and supply chain, while enjoying a supportive environment that values every team member's contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fulfillment in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JD.com on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the company. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Use platforms like LeetCode or HackerRank to practice. We want you to feel confident and ready to tackle those tricky questions!
✨Tip Number 3
Showcase your projects! If you've worked on relevant machine learning projects, make sure to highlight them during interviews. Discuss the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining JD.com. Let’s get you on board!
We think you need these skills to ace Machine Learning Engineer - Fulfillment in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with demand forecasting and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our fulfilment intelligence platform. Let us know what excites you about working at JD.com.
Showcase Your Technical Skills:Don’t forget to showcase your programming skills in languages like Python, Java, or C++. Mention any hands-on experience with tools like TensorFlow or PyTorch. We love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. Good luck!
How to prepare for a job interview at JD.COM
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to demand forecasting and replenishment optimisation. Be ready to discuss your past projects and how you've applied algorithms to solve real-world problems.
✨Showcase Your Collaboration Skills
Since JD.com values teamwork, prepare examples of how you've worked with cross-functional teams in the past. Highlight your ability to communicate effectively with product, engineering, and operations teams to deliver high-quality results.
✨Demonstrate Your Technical Prowess
Be ready to dive into technical discussions about programming languages like Python, Java, or C++. If you've used tools like TensorFlow or PyTorch, share specific instances where they helped you achieve significant outcomes in your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about JD.com's fulfilment intelligence platform and its future direction. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of making everyday life smarter and more connected.
