At a Glance
- Tasks: Lead a team to design and optimise search and recommendation algorithms.
- Company: Join JD.com, a global leader in technology and supply chain solutions.
- Benefits: Competitive salary, supportive culture, global projects, and career growth.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional development.
- Why this job: Make a real impact in e-commerce with cutting-edge machine learning technologies.
- Qualifications: Master's degree in relevant field and 6+ years of experience required.
The predicted salary is between 70000 - 90000 £ 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 seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving the design and implementation of cutting-edge models to enhance user experience, optimize traffic efficiency, and support JD.com’s global e-commerce growth. You will balance hands-on technical contributions with strategic leadership, collaborating with product, engineering, and business teams to deliver scalable, high-impact solutions.
Key Responsibilities:
- Lead and mentor a team of algorithm engineers, providing technical direction and career development support.
- Design, develop, and optimize algorithms for search and recommendation systems, with a focus on improving personalization, conversion, and user engagement.
- Oversee traffic distribution strategies in search and recommendation scenarios to meet diverse business needs, including new product cold start, seller growth, and best-seller creation.
- Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements.
- Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges.
- Work onsite in London.
Minimum Qualifications:
- Master’s degree or higher in Computer Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval.
- 6+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role.
- Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch.
- Strong programming skills in Python, C++, or Java, with solid understanding of data structures and algorithms.
- Strong communication skills in English and Chinese, with the ability to bridge technical and business perspectives in a multicultural environment.
Preferred Qualifications:
- Experience working in global e-commerce or large-scale consumer platforms preferred.
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 - Search and Recommendation in London employer: Jd.Com International Uk
At JD.com, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Machine Learning Engineer in London, you'll enjoy competitive compensation, access to global projects, and a culture that prioritises personal growth and collaboration. Join us to make a meaningful impact in the world of e-commerce while working alongside talented professionals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Search and Recommendation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current JD.com employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to search and recommendation systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. Being well-prepared will help you shine during the technical rounds.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll have access to all the latest job openings and updates directly from JD.com.
We think you need these skills to ace Machine Learning Engineer - Search and Recommendation 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 search and recommendation systems, and don’t forget to mention any leadership roles you've had. 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 JD.com’s mission. Keep it concise but impactful – we love a good story that showcases your journey.
Showcase Your Projects:If you’ve worked on relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see your hands-on experience with algorithms and models. It’s all about demonstrating your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there. Let’s get started on this journey together!
How to prepare for a job interview at Jd.Com International Uk
✨Know Your Algorithms
Make sure you brush up on your knowledge of machine learning algorithms, especially those related to search and recommendation systems. Be ready to discuss how you've applied these in past projects and the impact they had on user engagement.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored others or led projects. Highlight your ability to balance technical contributions with strategic leadership, as JD.com values collaboration and ownership.
✨Understand the Business Context
Familiarise yourself with JD.com's business model and how machine learning fits into their e-commerce strategy. Being able to bridge the gap between technical and business perspectives will show that you can contribute to their goals effectively.
✨Stay Current with Trends
Demonstrate your commitment to continuous learning by discussing recent advancements in machine learning, NLP, and deep learning. Mention any relevant research or projects you've been involved in that align with JD.com's focus on innovation.
