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- Tasks: Lead the Search & Recommendations team and define the technical vision for a high-traffic platform.
- Company: Join a leading online fashion retailer with a focus on innovation.
- Benefits: Enjoy employee discounts, private medical care, and 25 days of paid leave.
- Why this job: Make a significant impact in the fashion industry with cutting-edge AI technology.
- Qualifications: Proven experience in leading engineering teams and scaling search systems.
- Other info: Be part of a diverse and high-performing team in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading online fashion retailer seeks a Head of ML Engineering to oversee its Search & Recommendations team. This role involves defining the technical vision and leading product development for a platform that sees over 2.5 billion visits a year. The ideal candidate will have significant experience in leading engineering teams and scaling search systems, with a passion for fostering diverse and high-performing teams.
ASOS offers competitive benefits including employee discounts, private medical care, and 25 days of paid leave.
Head of ML Engineering: Search, Recommendations & AI Stylist in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML Engineering: Search, Recommendations & AI Stylist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ASOS or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience in ML engineering, particularly in search and recommendations. This will demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI and machine learning. Be ready to discuss how you would define the technical vision for a platform with massive traffic like ASOS.
✨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 Head of ML Engineering: Search, Recommendations & AI Stylist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of ML Engineering role. Highlight your leadership experience and any projects related to search systems or recommendations.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about fashion tech and how your vision aligns with our goals. Share specific examples of how you've led teams to success in similar roles.
Showcase Your Technical Expertise: Don’t shy away from diving into the technical details! We want to see your understanding of machine learning, engineering practices, and how you’ve scaled systems in the past.
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
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in machine learning, search systems, and recommendations. Brush up on your experience with scaling systems and leading engineering teams, as these will be key topics during the interview.
✨Showcase Your Leadership Style
Prepare to discuss your approach to leading diverse teams. Think about examples where you've fostered high performance and inclusivity. This role is all about guiding a team, so demonstrating your leadership philosophy will set you apart.
✨Understand the Business Impact
Since this position involves overseeing a platform with over 2.5 billion visits a year, be ready to talk about how your technical vision can drive business outcomes. Link your past experiences to tangible results that benefited the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI and how they see the future of search and recommendations evolving. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and goals.
