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- Tasks: Productionise machine learning models and mentor junior team members.
- Company: Join ASOS.com Ltd, a leading fashion retailer in Westminster.
- Benefits: Enjoy employee discounts, bonuses, and flexible benefits.
- Other info: Be part of a dynamic team shaping the future of outfits discovery.
- Why this job: Make an impact in fashion tech with cutting-edge machine learning.
- Qualifications: Expertise in deep learning and experience in large-scale production.
The predicted salary is between 60000 - 80000 £ per year.
ASOS.com Ltd in the City of Westminster is seeking a Senior Machine Learning Engineer to join the Outfits Discovery team. The position involves productionizing machine learning models, mentoring junior members, and contributing to the technical direction of the team. The ideal candidate has expertise in deep learning and experience with large-scale production settings.
Benefits include an employee discount, discretionary bonus scheme, and a flexible benefits allowance.
Senior ML Engineer — Outfits Discovery (Production at Scale) employer: asos.com Ltd
Contact Detail:
asos.com Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Outfits Discovery (Production at Scale)
✨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 and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to deep learning and production settings. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. 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 your application gets seen. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Senior ML Engineer — Outfits Discovery (Production at Scale)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning. We want to see how you've tackled large-scale production challenges, so don’t hold back on those details!
Showcase Your Projects: Include specific projects where you've productionised ML models. We love seeing real-world applications, so share the impact your work had on the team or company.
Mentorship Matters: Since mentoring junior members is part of the role, mention any experience you have in guiding others. We value collaboration, so let us know how you've contributed to team growth!
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 this exciting opportunity!
How to prepare for a job interview at asos.com Ltd
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain how you've productionised models in the past, including any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since mentoring junior members is part of the role, think of examples where you've guided others. Share specific instances where your mentorship made a difference, and be ready to discuss your approach to helping team members grow.
✨Understand ASOS's Technical Direction
Research ASOS and their Outfits Discovery team. Familiarise yourself with their current projects and technologies. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their technical direction.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in large-scale production settings. Think through potential scenarios you might face as a Senior ML Engineer and how you would tackle them, focusing on both technical and team dynamics.