At a Glance
- Tasks: Develop and deploy machine learning algorithms for pricing and customer targeting.
- Company: Join ASOS.com, a leader in fashion tech with a collaborative team.
- Benefits: Enjoy a competitive salary, performance bonuses, and personal development opportunities.
- Other info: Be part of a cross-functional team in Greater London.
- Why this job: Make an impact in a dynamic workplace that values innovation and collaboration.
- Qualifications: Experience with deep learning, modern ML frameworks, and software development practices.
The predicted salary is between 50000 - 65000 € per year.
ASOS.com is looking for a Machine Learning Engineer to join their cross-functional team in Greater London. The role involves developing and deploying machine learning algorithms to improve pricing strategies and customer targeting.
Ideal candidates will have experience with deep learning, modern ML frameworks, and software development practices.
Benefits include competitive salary, performance bonuses, and opportunities for personal development. Join a dynamic workplace that fosters innovation and collaboration.
Machine Learning Engineer - Recommender Systems at Scale in London employer: ASOS.com
ASOS.com is an excellent employer for Machine Learning Engineers, offering a vibrant work culture in Greater London that prioritises innovation and collaboration. With competitive salaries, performance bonuses, and ample opportunities for personal development, employees are encouraged to grow their skills while contributing to cutting-edge projects in the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Recommender Systems at Scale in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS.com on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to recommender systems. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common ML interview questions and coding challenges. We can even do mock interviews with friends to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Machine Learning Engineer - Recommender Systems at Scale in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning and modern ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Machine Learning Engineer position at ASOS.com and how you can contribute to improving pricing strategies and customer targeting.
Showcase Your Projects:If you've worked on any cool machine learning projects, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to recommender systems or similar areas.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at ASOS.com
✨Know Your Algorithms
Brush up on your machine learning algorithms, especially those related to recommender systems. Be ready to discuss how you’ve applied deep learning techniques in past projects and how they can improve pricing strategies.
✨Showcase Your Frameworks
Familiarise yourself with modern ML frameworks like TensorFlow or PyTorch. Be prepared to explain your experience with these tools and how you've used them to deploy machine learning models effectively.
✨Demonstrate Software Development Skills
Highlight your software development practices during the interview. Discuss your coding standards, version control experience, and how you ensure code quality, as these are crucial for a role that involves deploying algorithms at scale.
✨Emphasise Collaboration
ASOS values teamwork, so be ready to share examples of how you’ve worked in cross-functional teams. Talk about how you’ve collaborated with other departments to achieve common goals, showcasing your ability to foster innovation and drive results.
