At a Glance
- Tasks: Design and develop cutting-edge machine learning solutions for search and recommendations.
- Company: Join JD.com, a leading e-commerce platform with a focus on innovation.
- Benefits: Competitive salary, great location, and a supportive culture that values growth.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact on GBP100 million in business revenue through your work.
- Qualifications: Bachelor's degree in a technical field and experience in software development.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Machine Learning Engineer to drive the search and recommendation experience for Joybuy, JD.com's European full-category online retail brand. This role will impact at least GBP100 million in business revenue.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance high-quality code for the search and recommendation function.
- Participate in system design, architecture, and software development of the search and recommendation function.
- Perform code reviews to optimise technical performance.
- 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 technology, processes, and practices.
Minimum Qualifications
- Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field.
- Professional experience in software development 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 solve real-world business problems.
- Good understanding of NLP processing.
- Proficiency in the English language.
Preferred Qualifications
- Background or strong understanding of the retail sector, logistics, or e-commerce.
- Recent professional software development experience in recommender systems.
- Proficiency in the Chinese language.
Benefits
- Competitive salary, great location, and a supportive, people-first culture that values growth opportunities and an inclusive environment.
Equal Employment Opportunity
At JD.com, we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
Machine Learning Engineer in London employer: JD.COM INTERNATIONAL UK LTD
At JD.com, we pride ourselves on being an excellent employer, offering a competitive salary and a prime location that fosters a supportive, people-first culture. Our commitment to employee growth is evident through numerous opportunities for professional development, while our inclusive environment ensures that every team member can thrive and contribute meaningfully to our mission in the dynamic e-commerce sector.
Contact Details:
JD.COM INTERNATIONAL UK LTD Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to search technologies and recommender systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss how you've tackled real-world business problems using machine learning.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with search technologies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our team at Joybuy. Don't forget to mention your understanding of NLP processing and customer focus.
Showcase Your Technical Skills:In your application, be sure to showcase your programming skills, especially in Python. Mention any experience you have with recommender systems or software design, as this will really catch our eye!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. We can't wait to see what you bring to the table!
How to prepare for a job interview at JD.COM INTERNATIONAL UK LTD
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python, as well as your understanding of search technologies and NLP processing. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world business problems using your technical know-how. Think about situations where your solutions had a measurable impact, especially in the context of e-commerce or retail, as this aligns with the company's focus.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. You'll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders, so think about how you can convey your ideas clearly and concisely.
✨Emphasise Team Collaboration
Be ready to discuss your experience working in distributed teams and how you've influenced or coached others. Highlight any instances where you've facilitated alignment across teams, as this is crucial for the role at Joybuy.
