At a Glance
- Tasks: Design and build machine learning systems for product discovery and personalisation.
- Company: Join ASOS.com, a leader in online shopping innovation.
- 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 e-commerce.
- Why this job: Make a real impact on millions of customers' shopping experiences.
- 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
- 25 days of paid annual leave
Join us to innovate the future of online shopping.
Production ML Engineer — Personalisation & Discovery in London employer: ASOS.com
ASOS.com is an excellent employer for those looking to make a significant impact in the world of online shopping. With a vibrant work culture that fosters collaboration and innovation, employees enjoy generous benefits such as employee discounts, private medical care, and 25 days of paid annual leave. The company prioritises professional growth, providing ample opportunities for skill development and career advancement in a dynamic and fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer — Personalisation & Discovery in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to personalisation and recommendations. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML algorithms and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the ASOS team and contributing to their innovative projects.
We think you need these skills to ace Production ML Engineer — Personalisation & Discovery in London
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. We want to see how you can contribute to our Search & Recommendations 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 Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and deployment strategies. ASOS is looking for someone who can design impactful systems, so having a solid grasp of these concepts will show that you're the right fit.
✨Showcase Your Projects
Prepare to talk about your previous projects involving machine learning solutions. Highlight any experience you have with personalisation or recommendation systems, as this is key for the role. Bring along examples of your work, whether it's code snippets or case studies, to demonstrate your hands-on experience.
✨Collaborative Spirit
ASOS values a collaborative working style, so be ready to discuss how you've worked in teams before. Share specific examples of how you’ve contributed to group projects, resolved conflicts, or helped others succeed. This will show that you can thrive in their team-oriented environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about ASOS's approach to machine learning and their future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
