At a Glance
- Tasks: Develop and deploy impactful machine learning solutions, focusing on recommender systems.
- Company: Join ASOS, a leading fashion retailer in Greater London.
- Benefits: Competitive salary, performance-based bonuses, and professional growth opportunities.
- Other info: Exciting environment with great potential for career advancement.
- Why this job: Make a real impact with cutting-edge machine learning technology in a dynamic team.
- Qualifications: Hands-on experience in machine learning and a collaborative mindset.
The predicted salary is between 50000 - 65000 € per year.
ASOS in Greater London is seeking a Machine Learning Engineer to join their cross-functional team. In this role, you will develop and deploy impactful machine learning solutions, focusing currently on recommender systems.
Successful candidates will have hands-on experience in machine learning, particularly deep learning, and a collaborative mindset.
The position offers competitive salary, performance-based bonuses, and opportunities for professional growth.
ML Engineer, Recommender Systems — Scale & Impact in London employer: ASOS
ASOS is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive salaries, performance-based bonuses, and ample opportunities for professional development, making it an ideal place for those looking to make a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer, Recommender Systems — Scale & Impact in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS on LinkedIn. A friendly chat can give us insider info about the company culture 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! Get ready for technical interviews by brushing up on deep learning concepts and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what ASOS is looking for in a Machine Learning Engineer.
We think you need these skills to ace ML Engineer, Recommender Systems — Scale & Impact in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience in machine learning and deep learning. 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 recommender systems and how you can contribute to our cross-functional team. Keep it engaging and personal – we love a bit of personality!
Showcase Collaboration Skills:Since this role involves working closely with others, make sure to mention any collaborative projects you've been part of. We value teamwork, so share examples that demonstrate your ability to work well in a group setting.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ASOS
✨Know Your ML Fundamentals
Brush up on your machine learning basics, especially deep learning concepts. Be ready to discuss algorithms, model evaluation metrics, and the intricacies of recommender systems. This shows you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about your previous projects involving machine learning. Highlight specific challenges you faced, how you overcame them, and the impact of your solutions. This gives the interviewers insight into your hands-on experience and problem-solving skills.
✨Collaborative Mindset is Key
Since ASOS values a collaborative approach, be ready to discuss how you've worked in cross-functional teams before. Share examples of how you communicated complex ideas to non-technical stakeholders or collaborated with other departments to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about ASOS's current projects and future directions in machine learning. This not only shows your genuine interest in the role but also helps you gauge if the company aligns with your career goals.
