Machine Learning Engineer

London, ENG, GB, United Kingdom

Job Description

?Job Responsibilities?


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?Job Requirements?


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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. Learn more: https://corporate.jd.com/

Key Responsibilities:


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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.

Minimum Qualifications:


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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:


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Experience working in global e-commerce or large-scale consumer platforms preferred.

What We Offer:


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The opportunity to lead a high-impact ML team in a leading global e-commerce company. Exposure to international markets and large-scale real-world challenges. Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses. A collaborative environment where innovation and leadership are valued.

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About JD.com?


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JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, JD.com has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, JD.com is China's largest retailer by revenue. In 2023, JD.com reported revenues of US$152.8 billion and served approximately 600 million active customers.

?Our International Business?


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We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com operates globally, with business activities in countries such as 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 many others, reaching customers in every corner of the world.

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Job Detail

  • Job Id
    JD3862885
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned