ML Engineer, Search & Recommendations – London (Onsite)

Jingdong Development France; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Onsite in London

Job summary

JD.com, also known as JINGDONG, invites a Machine Learning Engineer to join the Joybuy team in London, shaping search and recommendation systems with cross‑functional partners. You will contribute to scalable, high‑quality code and collaborate closely with design, product and business leads to deliver impactful solutions.

The role emphasizes implementing robust ML tooling, performance optimization, and mentoring a distributed team, with a business impact in the GBP hundreds of millions range.

Qualifications

• Bachelor's degree in a technical field and software development experience.
• Experience with search technologies and launching software products.
• Proficiency in Python and NLP concepts.
• Strong English communication and problem solving.
• Ability to translate business needs into technical requirements.

Responsibilities

• Participate in system design and development of search and recommendation functions.
• Design, develop, test, deploy, and maintain high‑quality code and solutions.
• Perform code reviews to optimise performance.
• Coach and influence a distributed engineering team.
• Communicate business needs into technical requirements.
• Manage priorities, deadlines and deliverables.
• Ensure alignment across teams on goals and timelines.
• Look for opportunities to improve technology and practices.
• Work onsite in London.

Skills

Search technologies

Python

NLP processing

English proficiency

Software development

Education

Bachelor's degree in Engineering, Computer Science, Mathematics, or related

Tools

Git

CI/CD

Job description

JD.com, also known as JINGDONG, invites a Machine Learning Engineer to join the Joybuy team in London, shaping search and recommendation systems with cross‑functional partners. You will contribute to scalable, high‑quality code and collaborate closely with design, product and business leads to deliver impactful solutions.

The role emphasizes implementing robust ML tooling, performance optimization, and mentoring a distributed team, with a business impact in the GBP hundreds of millions range.