ML Engineer - Search & Recommendations, London (Onsite)

JD.COM INTERNATIONAL UK LTD; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

JD.com invites applications for a Machine Learning Engineer role at Joybuy in London. You will contribute to search and recommendation systems, collaborating with design, product, and business leads to build tools and platforms.

The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen.

Qualifications

• Bachelor's degree in engineering, computer science, mathematics or related field.
• Experience in software development with focus on search technologies.
• Experience with testing and launching software products.
• Proficiency in Python or a similar language.
• Strong English communication and customer-focused mindset.
• Understanding of NLP processing.

Responsibilities

• Participate in system design and architecture of the search and recommendation function.
• Design, develop, test, deploy, and maintain high-quality code and solutions.
• Perform code reviews to optimise performance.
• Influence and coach a distributed team of engineers.
• Translate business needs into technical requirements and priorities.
• Manage project priorities, deadlines, and deliverables.
• Look for opportunities to continuously improve technology and processes.
• Work onsite in London.

Education

Bachelor's degree in Engineering, Computer Science, Mathematics

Job description

JD.com invites applications for a Machine Learning Engineer role at Joybuy in London. You will contribute to search and recommendation systems, collaborating with design, product, and business leads to build tools and platforms.

The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen.