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- Tasks: Design and implement machine learning systems to enhance customer experience.
- Company: Join ASOS.com, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy a generous employee discount, flexible benefits, and 25 days of paid leave.
- Other info: Great opportunities for personal development in a dynamic team environment.
- Why this job: Make a real impact on customer experience using cutting-edge machine learning technology.
- Qualifications: Experience in machine learning and deep learning, with strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
ASOS.com is seeking a Senior Machine Learning Engineer to join their Personalisation team in London. This role involves designing and productionising machine learning systems to enhance customer experience.
The ideal candidate will possess professional experience in applying machine learning, particularly in deep learning, and should be comfortable collaborating across teams.
Benefits include a generous employee discount, flexible benefits, and 25 days of paid leave along with additional perks for personal development.
Senior Personalisation ML Scientist employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Personalisation ML Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise, especially in deep learning. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common ML algorithms and coding challenges. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with ASOS's mission to enhance customer experience.
We think you need these skills to ace Senior Personalisation ML Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and deep learning in your application. We want to see how you've applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for the Senior Personalisation ML Scientist role. We love seeing how your unique experiences align with our needs, so make it personal!
Collaborate and Communicate: Since this role involves working across teams, emphasise your collaboration skills in your written application. Share examples of how you’ve successfully worked with others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 deep learning. Be ready to discuss your past projects and how you've applied these techniques to solve real-world problems. This will show that you’re not just familiar with the theory but can also put it into practice.
✨Collaborate Like a Pro
Since this role involves working across teams, be prepared to talk about your collaboration experiences. Think of specific examples where you’ve worked with others to achieve a common goal, and highlight how you communicated and resolved any challenges.
✨Showcase Your Problem-Solving Skills
ASOS is looking for someone who can design and productionise systems. Be ready to walk through your problem-solving process in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your critical thinking.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the team and the projects you’d be working on. This shows your genuine interest in the role and helps you gauge if ASOS is the right fit for you.