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 vibe.
- 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 teamwork.
- Qualifications: Experience in deep learning, modern ML frameworks, and software development.
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 employer: ASOS.com
ASOS.com is an excellent employer for those passionate about technology and innovation, offering a vibrant work culture in Greater London that encourages collaboration and creativity. With competitive salaries, performance bonuses, and ample opportunities for personal development, employees are empowered to grow their skills while contributing to cutting-edge projects in machine learning and recommender systems. Join a team that values your contributions and supports your career journey in a dynamic and fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Recommender Systems at Scale
✨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 what ASOS.com is looking for.
We think you need these skills to ace Machine Learning Engineer - Recommender Systems at Scale
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 passionate about machine learning and how you can contribute to our team at ASOS. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool projects related to recommender systems or pricing strategies, make sure to mention them! We’re keen to see practical examples of your work and how you’ve applied your skills in real-world scenarios.
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 the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
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
Since software development practices are key for this role, highlight your coding skills. Bring examples of your work that showcase clean, efficient code and your understanding of version control systems like Git.
✨Emphasise Collaboration
ASOS values a dynamic workplace, so be ready to discuss how you’ve worked in cross-functional teams. Share experiences where collaboration led to innovative solutions, showing that you thrive in a team environment.
