At a Glance
- Tasks: Design and develop cutting-edge recommendation systems to enhance customer experience.
- Company: Join JD.com, a leading tech innovator in e-commerce and logistics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Work onsite in London with a dynamic team focused on innovation.
- Why this job: Make a real impact on customer shopping experiences with your tech skills.
- Qualifications: Experience in software development and recommender systems is essential.
The predicted salary is between 70000 - 90000 £ per year.
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting‑edge digital solutions.
We have an exciting opportunity for a Machine Learning Engineer - Recommendation 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. Offering same‑day and next‑day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. Your work has an impact on the recommendation experience for our customers. This will involve working alongside our design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of solutions. This role will have a direct impact on business revenue.
The ideal candidate will have solid technical experience with recommender systems and strong business acumen.
Responsibilities- 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.
- Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field.
- Professional experience in software development, with recent years focused on recommender systems.
- 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.
- A background or strong understanding of the retail sector, logistics, and/or e-commerce.
Machine Learning Engineer - Recommendation in London employer: JD.COM
JD.com, a leader in e-commerce and technology, offers an exceptional work environment for a Machine Learning Engineer - Recommendation at Joybuy in London. With a focus on innovation and employee growth, the company fosters a collaborative culture where your contributions directly enhance customer experiences and drive business success. Enjoy competitive benefits, opportunities for professional development, and the chance to be part of a dynamic team that is reshaping the retail landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Recommendation in London
✨Get to Know Your E-commerce Community
Dive into specific e-commerce forums and groups on platforms like Reddit or Facebook. Engaging with these communities can open up opportunities and give you insights into what companies like JD.COM are looking for when hiring for a Machine Learning Engineer - Recommendation.
✨Showcase Your Skills with an Online Portfolio
In e-commerce, a strong online presence can set you apart. Create a portfolio that highlights any projects, case studies, or even personal ventures related to e-commerce. When you apply to JD.COM for the Machine Learning Engineer - Recommendation, a tangible demonstration of your skills could make a huge difference.
✨Attend E-commerce Events and Conferences
Keep an eye on e-commerce conferences and workshops in your area. Not only will you gain valuable knowledge, but networking with industry professionals could lead to job leads. Plus, if you're keen to work at JD.COM as a Machine Learning Engineer - Recommendation, rub shoulders with their representatives when possible!
✨Utilise Company Resources
Don’t forget to check out JD.COM’s career page for any unique application processes or opportunities that might not be listed on job boards. Applying directly through their website might give your application a bit more visibility, especially for a Machine Learning Engineer - Recommendation.
We think you need these skills to ace Machine Learning Engineer - Recommendation in London
Some tips for your application 🫡
Show Off Your E-Commerce Savviness:When you're applying for an e-commerce role at JD.COM, make sure your CV reflects your familiarity with online retail platforms, digital marketing, and user experience. Highlight any relevant tools and technologies you've used, like Shopify or Google Analytics, to demonstrate that you’re well-versed in the industry.
Craft a Compelling Cover Letter:Your cover letter should not just reiterate your CV; it’s your chance to showcase your passion for e-commerce and how it aligns with JD.COM's goals. Mention specific projects or achievements that relate to the role, and don’t forget to express your enthusiasm for working in a dynamic, fast-paced environment where you can make a tangible impact.
Metrics Matter:In the world of e-commerce, numbers speak volumes. When detailing your past experiences, quantify your achievements wherever possible—like the percentage of sales growth you contributed to or successful conversion rates from marketing campaigns. This will make your application stand out and show that you're results-driven.
Tailor Your Application:Don’t forget to customise your CV and cover letter for the specific position at JD.COM. Use keywords from the job description, and address the unique challenges the company may face in the e-commerce space. A personalised application helps us see that you're not just applying everywhere but are genuinely interested in being part of our team.
How to prepare for a job interview at JD.COM
✨Show Off Your E-commerce Know-How
In a sector like e-commerce, having a strong grasp of current trends and technologies is crucial. Let’s make sure you’ve brushed up on key platforms that JD.COM uses—think about popular e-commerce software, digital marketing strategies, and how these affect consumer behaviour. Being able to discuss these intelligently can really set you apart.
✨Portfolio Power: Showcase Your Results
For a full-time e-commerce role, it’s key for us to present a portfolio that highlights your results rather than just your tasks. If you’ve worked on campaigns or projects, bring examples that showcase your contribution and the impact they made—use metrics if you can! This helps to illustrate your value in a real-world context.
✨Technical Questions: Prep for the Specifics
Get ready to tackle some technical questions related to e-commerce analytics, SEO tools, or website optimisation. Think about any past experiences where you utilised data to inform decisions or improve sales. Being prepared with specific examples will showcase not just your knowledge, but also your practical application of it, which we all know is crucial!
✨Engage in a Conversational Style
Full-time interviews can feel quite formal, but try to keep it conversational, especially if you click with your interviewers at JD.COM. Share your thoughts and ideas about the future of e-commerce, and don’t shy away from engaging with their questions openly. The more genuine and relatable you are, the better connection you’ll create!
