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- Tasks: Design and manage machine learning systems to enhance customer shopping experiences.
- Company: Join ASOS.com, a leading fashion retailer in the heart of Westminster.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days annual leave.
- Other info: Collaborate with a dynamic team and mentor junior engineers.
- Why this job: Make a real impact on personalisation and recommendations in fashion.
- Qualifications: Experience in machine learning and a passion for fashion technology.
The predicted salary is between 60000 - 80000 £ per year.
ASOS.com Ltd is looking for a Senior Machine Learning Engineer in the City of Westminster to join our Personalisation team. In this pivotal role, you will design, build, and manage machine learning systems that enhance customer shopping experiences based on personal style and fashion trends.
Responsibilities include:
- Collaborating on algorithms for pricing and customer targeting
- Deploying machine learning solutions at scale
- Mentoring junior engineers
Benefits include employee discounts, flexible benefits, and 25 days of annual leave plus additional days for special moments.
Senior ML Scientist, Personalisation & Recommendations employer: asos.com Ltd
Contact Detail:
asos.com Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist, Personalisation & Recommendations
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS.com through LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to personalisation and recommendations. This will help us see your practical experience and creativity.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at ASOS.com.
We think you need these skills to ace Senior ML Scientist, Personalisation & Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior ML Scientist role. Highlight your expertise in machine learning systems, personalisation, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about personalisation and recommendations. Share specific examples of how you've enhanced customer experiences through your work in machine learning.
Showcase Your Collaboration Skills: Since this role involves working closely with others, mention any past experiences where you collaborated on algorithms or mentored junior engineers. We love to see teamwork in action!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at asos.com Ltd
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to personalisation and recommendations. Be ready to discuss algorithms you've worked with, how they apply to customer targeting, and any challenges you've faced in deploying them.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed or managed machine learning systems. Highlight your role, the impact of your work on user experience, and any metrics that demonstrate success. This will show your practical experience and problem-solving skills.
✨Collaborative Mindset
Since this role involves collaboration, be prepared to discuss how you’ve worked with cross-functional teams in the past. Share examples of how you’ve mentored junior engineers or collaborated on algorithm development, as this will showcase your teamwork and leadership abilities.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in machine learning, particularly in the fashion industry. Being able to discuss current innovations or case studies related to personalisation can set you apart and show your passion for the field.