At a Glance
- Tasks: Design and build machine learning systems to enhance customer shopping experiences.
- Company: Join ASOS.com, a leading online fashion retailer with a vibrant culture.
- Benefits: Enjoy discounts, bonus schemes, and flexible allowances.
- Other info: Collaborative and agile environment with opportunities for career growth.
- Why this job: Make a real impact on personalisation while mentoring the next generation of engineers.
- Qualifications: Experience in machine learning and a passion for improving algorithms.
The predicted salary is between 60000 - 80000 £ per year.
ASOS.com is seeking a Senior Machine Learning Engineer to join the Personalisation team. In this senior role, you’ll help design, build, and run machine learning systems to enhance the customer shopping experience. Collaborate with engineers and data scientists in an agile environment while mentoring junior members.
Your responsibilities include:
- Improving algorithms
- Deploying models
- Contributing to technical direction
Benefits include discounts, bonus schemes, and flexible allowances.
Senior Personalisation ML Engineer in London employer: ASOS.com
ASOS.com is an excellent employer for those passionate about technology and innovation, offering a dynamic work culture that fosters collaboration and creativity. With a strong focus on employee growth, you will have the opportunity to mentor junior team members while working on cutting-edge machine learning systems in a vibrant environment. Located in a thriving tech hub, ASOS provides attractive benefits such as discounts, bonus schemes, and flexible allowances, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Personalisation ML Engineer 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 you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Whether it's improving algorithms or deploying models, having tangible examples will make you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for ML engineers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 the ASOS team and ready to contribute to their personalisation efforts.
We think you need these skills to ace Senior Personalisation ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and personalisation. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation and how you can contribute to our team. Keep it engaging and let your personality come through.
Showcase Your Projects:If you've worked on any cool machine learning projects, make sure to mention them! We love seeing practical examples of your work, especially if they relate to enhancing customer experiences.
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 ASOS.com
✨Know Your Algorithms
Brush up on the latest machine learning algorithms and techniques relevant to personalisation. Be ready to discuss how you've improved algorithms in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your Collaboration Skills
Since you'll be working closely with engineers and data scientists, prepare examples of successful collaborations. Highlight how you’ve mentored junior members or contributed to team projects, demonstrating your ability to work in an agile environment.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of deploying models and the technical direction of machine learning systems. Practise explaining complex concepts in simple terms, as this will showcase your communication skills.
✨Understand ASOS's Customer Experience
Familiarise yourself with ASOS's approach to customer shopping experiences. Think about how your role can enhance this and be prepared to share ideas on improving personalisation strategies during the interview.
