At a Glance
- Tasks: Enhance customer experiences by developing deep learning models for fashion outfit discovery.
- Company: Leading online fashion retailer in Greater London with a focus on innovation.
- Benefits: Comprehensive benefits package, employee discounts, and flexible working options.
- Why this job: Join a dynamic team and shape the future of fashion technology.
- Qualifications: Expertise in machine learning, experience in deploying scalable models, and mentoring skills.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading online fashion retailer in Greater London is looking for a Senior Machine Learning Engineer to join their Outfits Discovery team. This role requires expertise in deep learning and machine learning systems that enhance customer experiences in fashion.
Candidates should have proven experience in deploying scalable models, mentoring junior engineers, and improving algorithms.
The company offers a comprehensive benefits package, including employee discounts and flexible benefits.
Senior ML Engineer - Fashion Outfit Discovery employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Fashion Outfit Discovery
✨Tip Number 1
Network like a pro! Reach out to people in the fashion tech space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fashion. We love seeing real-world applications of your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning concepts and algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Senior ML Engineer - Fashion Outfit Discovery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and machine learning systems. We want to see how you've deployed scalable models and improved algorithms, so don’t hold back on those details!
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the role, include examples of how you've guided others in your previous positions. We love seeing teamwork and leadership in action!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about fashion and how your skills can enhance customer experiences. Make it personal and engaging – we want to get to know you!
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 in our Outfits Discovery team!
How to prepare for a job interview at ASOS.com
✨Know Your ML Stuff
Make sure you brush up on your deep learning and machine learning concepts. Be ready to discuss your experience with deploying scalable models and how you've improved algorithms in the past. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior engineers, think of specific examples where you've guided others. Prepare to share how you’ve helped them grow and what strategies you used to foster their development. This will show that you’re not just a tech whiz but also a team player.
✨Understand the Fashion Industry
Get familiar with the latest trends in fashion and how machine learning is being used to enhance customer experiences. Being able to connect your technical skills to the fashion world will set you apart and demonstrate your genuine interest in the role.
✨Prepare Questions
Have a few thoughtful questions ready for them about the Outfits Discovery team and their current projects. This shows that you’re engaged and serious about the position. Plus, it gives you a chance to assess if the company culture aligns with your values.