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 focus on innovation.
- Benefits: Enjoy discounts, bonus schemes, and flexible allowances.
- Other info: Collaborative and agile environment with opportunities for professional growth.
- Why this job: Make a real impact on customer experiences while working with cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for mentoring others.
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 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
✨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. We want to see how you’ve improved algorithms or deployed models in real-world scenarios.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. Mock interviews with friends can help us feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Personalisation ML Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with machine learning systems. We want to see how you've designed and built models in the past, so don’t hold back on the details!
Tailor Your Application:Make your application stand out by tailoring it to the role. Use keywords from the job description, like 'personalisation' and 'agile environment', to show us you understand what we're looking for.
Be Yourself:We love authenticity! Don’t be afraid to let your personality shine through in your application. Share your passion for enhancing customer experiences and how you can contribute to our team.
Apply Through Our Website:To make sure your application gets to us, apply directly through our website. It’s the best way to ensure we see your amazing skills and experience right away!
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 personalisation and customer shopping experiences. Think about how your skills can enhance their current systems and be prepared to share your ideas during the interview.
