At a Glance
- Tasks: Design and run machine learning systems to enhance customer experience and personal style.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team atmosphere that encourages creativity and innovation.
- Why this job: Make a real impact on customer experiences through cutting-edge machine learning technology.
- Qualifications: Professional experience in machine learning and mentoring skills.
The predicted salary is between 60000 - 80000 £ per year.
ASOS is seeking a Senior Machine Learning Engineer to join their Personalisation team in Greater London. In this role, you will design and run machine learning systems that enhance customer experience and empower personal style. You'll collaborate with engineers and data scientists to deploy and improve machine learning models at scale.
We seek candidates with professional experience in machine learning, particularly deep learning, and the ability to mentor junior team members. Expect a dynamic environment that fosters innovation and growth.
Senior ML Scientist, Personalisation & RealTime Recommendations in London employer: 慨正橡扯
ASOS is an exceptional employer that champions innovation and personal growth within a vibrant work culture in Greater London. Employees benefit from collaborative teamwork, opportunities for mentorship, and a commitment to enhancing customer experiences through cutting-edge technology. With a focus on professional development and a dynamic environment, ASOS empowers its team members to thrive and make a meaningful impact in the world of fashion and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist, Personalisation & RealTime Recommendations 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 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 you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ASOS team.
We think you need these skills to ace Senior ML Scientist, Personalisation & RealTime Recommendations in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and deep learning. We want to see how you've designed and run systems that enhance user experiences, so be specific about your contributions!
Showcase Your Projects:Include any relevant projects or case studies that demonstrate your skills in personalisation and recommendations. We love seeing real-world applications of your work, so don’t hold back!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate a straightforward approach that outlines why you’re a great fit for the role and how you can contribute to our team.
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!
How to prepare for a job interview at 慨正橡扯
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially deep learning. Be ready to discuss your past projects and how you've applied these techniques to solve real-world problems. This will show ASOS that you have the expertise they’re looking for.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers and data scientists, be prepared to share examples of how you've successfully collaborated in the past. Highlight any mentoring experiences too, as they value candidates who can guide junior team members.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common algorithms and data structures, and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical proficiency.
✨Emphasise Innovation and Growth
ASOS is all about fostering innovation, so come armed with ideas on how you could enhance their personalisation systems. Discuss any trends in machine learning that excite you and how you see them impacting customer experience. This shows you're forward-thinking and passionate about your field.
