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# Machine Learning Engineer - Recommendation

- **Company:** JD.COM INTERNATIONAL UK LTD
- **Location:** Paris, France
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Code Review, Python (Programming Language), Machine Learning, Software Architecture, Recommender Systems, Search Technologies, Software Engineering, Information Technology, Search Engines, Programming Languages
- **Published:** July 15, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=a06423c5a3c38fdf

## About the Role

The ideal candidate will have solid technical experience with search engines and strong business acumen., * 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., * 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.

## Description

* 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.


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