Engineer (M/V)

Engineer (M/V)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
JD.COM

At a Glance

  • Tasks: Design and deploy AI/ML solutions for a leading e-commerce platform.
  • Company: Join JD.com’s innovative team at Joybuy, a top European online retail brand.
  • Benefits: Competitive salary, health insurance, retirement plans, and performance bonuses.
  • Other info: Dynamic environment with opportunities to tackle real-world AI challenges.
  • Why this job: Make a real impact on global AI strategy while working with cutting-edge technology.
  • Qualifications: 3+ years in machine learning, strong Python skills, and experience with cloud platforms.

The predicted salary is between 60000 - 80000 £ per year.

About the Role

JD.com is seeking an experienced AI Engineer to join our growing technical team at Joybuy. Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. In this role, you will design, develop, and deploy AI/ML solutions that power Joybuy.

You will work at the intersection of machine learning, engineering, and product, building intelligent systems that drive personalisation, search, recommendation, content understanding, and operational efficiency at scale.

  • Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection.
  • Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring, and iteration in production.
  • Collaborate closely with product managers, software engineers, and data teams across Europe and China to align AI capabilities with business goals and regional market needs.
  • Research, adopt, and promote state-of-the-art AI/ML technologies and methodologies, contributing to the team's technical roadmap and architectural vision.
  • Build and optimise machine learning infrastructure and tooling, including feature stores, model serving platforms, A/B testing frameworks, and CI/CD pipelines for machine learning.

Work onsite in Green Park, London.

Qualifications:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related technical field.
  • ~3+ years of hands-on experience in building and deploying machine learning models in production environments.
  • Strong programming skills in Python, with proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
  • Experience with MLOps tooling and practices — model versioning, experiment tracking, CI/CD, A/B testing.
  • Effective communication skills in English.
  • Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms.
  • Experience with LLM fine-tuning, RAG architectures, or generative AI applications.
  • Experience building multilingual or cross-market AI systems for European/global audiences.
  • Experience with real-time inference systems, feature engineering at scale, or online learning.
  • Publications at top-tier ML/AI conferences (NeurIPS, ICML, KDD, ACL, CVPR, etc.).
  • Effective communication skills in Chinese.

A dynamic and challenging work environment in a leading global e-commerce company with a fast-growing international business. The opportunity to work with a diverse international team spanning London and Beijing, making a significant impact on JD.com's global AI strategy. Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses. Exposure to massive-scale data, complex cross-border e-commerce challenges, and real-world AI problems that impact millions of users.

All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Engineer (M/V) employer: JD.COM

JD.com offers an exceptional work environment for AI Engineers at Joybuy, located in the vibrant Green Park, London. With a focus on innovation and collaboration, employees benefit from a competitive salary, comprehensive health insurance, and retirement plans, while working alongside a diverse international team to tackle real-world AI challenges that impact millions. The company fosters a culture of growth, providing opportunities to engage with cutting-edge technologies and contribute significantly to JD.com's global AI strategy.

JD.COM

Contact Details:

JD.COM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineer (M/V)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those relevant to e-commerce. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in collaborative environments like Joybuy.

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 you're genuinely interested in joining our team at JD.com.

We think you need these skills to ace Engineer (M/V)

Machine Learning
AI/ML Solutions Development
Python Programming
PyTorch
TensorFlow
JAX
Natural Language Processing (NLP)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer. Highlight your experience with machine learning models, programming skills in Python, and any relevant projects that showcase your expertise in AI/ML technologies.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for Joybuy. Share your passion for AI and e-commerce, and how your skills align with our mission to enhance customer experiences through intelligent systems.

Showcase Your Projects:Include links to your GitHub or portfolio where we can see your work in action. Demonstrating your hands-on experience with ML frameworks like PyTorch or TensorFlow will definitely catch our eye!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Joybuy!

How to prepare for a job interview at JD.COM

Know Your AI Stuff

Make sure you brush up on your knowledge of AI/ML concepts, especially those mentioned in the job description like deep learning, NLP, and recommendation systems. Be ready to discuss your hands-on experience with frameworks like PyTorch or TensorFlow, as well as any projects you've worked on that relate to these technologies.

Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. JD.com is looking for someone who can own the end-to-end machine learning lifecycle, so be ready to share examples of how you've formulated problems, explored data, and iterated on models in production.

Collaboration is Key

Since this role involves working closely with product managers and software engineers, think of examples where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you've aligned technical capabilities with business goals in past projects.

Stay Updated on Trends

Research the latest trends in AI/ML and be prepared to discuss state-of-the-art technologies and methodologies. Showing that you're proactive about adopting new tools and practices will demonstrate your commitment to contributing to the team's technical roadmap and architectural vision.