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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: Generous employee discount, flexible benefits, 25 days paid leave, and personal development perks.
- Other info: Dynamic team environment with opportunities for professional growth.
- 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
- 25 days of paid leave
- Additional perks for personal development
Senior Personalisation ML Scientist in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Personalisation ML Scientist 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 might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to personalisation. This will help you stand out and demonstrate your expertise in deep learning.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Focus on explaining your thought process clearly, as collaboration is key in this role.
✨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 Senior Personalisation ML Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and deep learning. We want to see how you've applied these skills in real-world scenarios, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about personalisation and how you can contribute to enhancing customer experience at ASOS.com. Keep it engaging and relevant!
Showcase Collaboration Skills: Since this role involves working across teams, be sure to mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results in your previous roles.
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 in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Collaborate Like a Pro
Since this role involves working across teams, be prepared to talk about your collaboration experiences. Think of examples where you successfully worked with others to solve problems or enhance projects. Highlighting your teamwork skills will demonstrate that you're a good fit for their culture.
✨Showcase Your Problem-Solving Skills
ASOS is looking for someone who can design and productionise systems. Be ready to tackle hypothetical scenarios during the interview. Practice explaining your thought process and how you approach problem-solving in machine learning contexts. This will help them see your analytical skills in action.
✨Ask Smart Questions
Prepare thoughtful questions about the Personalisation team and their current projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Plus, it gives you a chance to learn more about their challenges and how you can contribute.