Machine Learning Engineer - Recommendation
jd/careers_at_jd
GBR-London
Posted Sep 11, 2026
- Full-time
Job description
Who We Are At , 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, operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected. Our Global Reach 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. Learn more about who we are and what we do: 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 team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( ’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. Your work has an impact on the search and recommendation experience for our customers. This will involve working alongside our design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of solutions. This role will have a business impact of at least GBP 100 million. The ideal candidate will have solid technical experience with search engines and strong business acumen. Responsibilities Participate in system design, architecture, and software development of the search and recommendation function. Design, develop, test, deploy, maintain, and enhance high-quality code and solutions. Perform code reviews to optimise the technical performance of the solutions. Influence and coach a distributed team of engineers. Communicate and translate business needs into technical requirements. Manage project priorities, deadlines, and deliverables. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Look for opportunities to continuously improve our technology, processes, and practices. Work onsite in London. Minimum Qualifications Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field. Professional experience in software development, with recent years focused on search technologies. Professional experience in testing and launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. Customer focus with the right balance between outcome delivery and technical excellence. Ability to apply technical skills and know-how to solving real-world business problems. Good understanding of NLP processing. Proficiency in the English language. Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e-commerce. Recent professional software development experience in recommender systems. Proficiency in the Chinese language. At , 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.