At a Glance
- Tasks: Design and build machine learning systems for product discovery and personalisation.
- Company: Join ASOS.com, a leader in online fashion retail.
- Benefits: Enjoy employee discounts, private medical care, and 25 days of paid leave.
- Other info: Be part of a dynamic team shaping the future of online shopping.
- Why this job: Make a real impact on how millions shop online with innovative tech.
- Qualifications: Experience in deploying machine learning solutions and teamwork skills.
The predicted salary is between 50000 - 70000 € per year.
ASOS.com is looking for a Machine Learning Engineer to enhance their Search & Recommendations team. In this role, you will design and build impactful machine learning systems that power product discovery and personalisation for millions of customers.
The ideal candidate will have experience in deploying machine learning solutions and a collaborative working style.
Benefits include employee discounts, private medical care, and 25 days of paid annual leave. Join us to innovate the future of online shopping.
Production ML Engineer — Personalisation & Discovery employer: ASOS.com
ASOS.com is an excellent employer for those passionate about technology and innovation in the retail sector. With a vibrant work culture that fosters collaboration and creativity, employees enjoy benefits such as generous discounts, private medical care, and 25 days of paid annual leave. The company prioritises employee growth, offering numerous opportunities to develop skills and advance careers while contributing to the future of online shopping.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer — Personalisation & Discovery
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ASOS. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate how you can enhance product discovery and personalisation—make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with deploying machine learning solutions and how you can contribute to the team.
✨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 Production ML Engineer — Personalisation & Discovery
Some tips for your application 🫡
Show Your Passion for Machine Learning:When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that highlight your skills in deploying ML solutions, especially those related to personalisation and discovery.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight relevant experiences that align with the job description, particularly in building impactful systems for product discovery. We love seeing how you can contribute to our team!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see why you’re a great fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at ASOS.com!
How to prepare for a job interview at ASOS.com
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to search and recommendations. Be ready to discuss your previous projects and how you've deployed ML solutions in real-world scenarios.
✨Show Your Collaborative Spirit
ASOS values a collaborative working style, so be prepared to share examples of how you've worked effectively in teams. Highlight any cross-functional projects you've been part of and how you contributed to their success.
✨Understand the Business Impact
Think about how your work as a Machine Learning Engineer can directly impact product discovery and personalisation for customers. Be ready to discuss how your solutions can enhance user experience and drive sales.
✨Ask Insightful Questions
Prepare some thoughtful questions about ASOS's current ML initiatives and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of innovating online shopping.
