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- Tasks: Develop advanced ranking models using machine learning to personalise results for millions.
- Company: Leading fashion tech company in London with a dynamic and innovative culture.
- Benefits: Flexible working environment, comprehensive health support, and growth opportunities.
- Why this job: Join us to make a real impact in the fashion industry with cutting-edge technology.
- Qualifications: Solid foundation in ML frameworks and passion for coding in Python.
- Other info: Collaborative team environment with exciting projects and career advancement.
The predicted salary is between 42000 - 84000 £ per year.
A leading fashion tech company in London is seeking a Machine Learning Scientist to work on advanced ranking models in a dynamic environment. You will leverage machine learning to personalize results for millions of users. The role requires collaboration across teams and a solid foundation in ML frameworks. The ideal candidate is passionate about coding in Python and staying updated on ML advancements.
Join us for a flexible working environment, comprehensive health support, and growth opportunities.
Machine Learning Scientist: Personalised Rankings at Scale in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist: Personalised Rankings at Scale in London
✨Tip Number 1
Network like a pro! Reach out to people in the fashion tech industry, especially those working with machine learning. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to ranking models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python coding skills and ML frameworks. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from passionate candidates like you. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace Machine Learning Scientist: Personalised Rankings at Scale in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let your enthusiasm for machine learning shine through. Share specific projects or experiences that highlight your skills in ML frameworks and Python coding. We want to see your passion and how you stay updated on the latest advancements!
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight relevant experiences that align with the job description, especially those involving advanced ranking models and personalisation. This shows us that you understand what we’re looking for and how you can contribute.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Depop
✨Know Your ML Frameworks
Make sure you brush up on the machine learning frameworks relevant to the role. Be prepared to discuss your experience with them and how you've applied them in past projects. This shows you're not just familiar with the theory but can also implement it practically.
✨Showcase Your Python Skills
Since coding in Python is a key part of the job, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. This will help you feel more confident during the technical part of the interview.
✨Prepare for Collaboration Questions
Given that the role involves working across teams, expect questions about collaboration. Think of examples where you've successfully worked with others, especially in a tech environment. Highlight your communication skills and how you handle feedback.
✨Stay Updated on ML Trends
The field of machine learning is always evolving, so show your passion for staying current. Bring up recent advancements or trends in ML that excite you. This demonstrates your enthusiasm for the field and your commitment to continuous learning.
