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- Tasks: Design and build advanced machine learning models that impact millions daily.
- Company: Leading online marketplace in the UK with a focus on innovation.
- Benefits: Hybrid working, wellness benefits, and opportunities for career advancement.
- Why this job: Join a dynamic team and make a real difference in user experience.
- Qualifications: Experience in machine learning, strong Python skills, and a passion for learning.
- Other info: Collaborative environment with exciting projects and growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A prominent online marketplace in the UK is seeking a Machine Learning Scientist to help build advanced ranking models for their app, impacting millions daily. The role entails designing machine learning solutions, conducting experiments, and collaborating with various teams.
Ideal candidates will have:
- Experience in machine learning models
- Strong Python skills
- An eagerness to learn
This position offers hybrid working and several wellness benefits, making it a great opportunity for those looking to advance their career in a dynamic environment.
ML Scientist — Ranking & Personalization in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist — Ranking & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your Python prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace ML Scientist — Ranking & Personalization in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning models and Python in your application. We want to see how your skills can help us build those advanced ranking models!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the job description. Mention specific projects or experiences that relate to designing machine learning solutions and conducting experiments.
Be Yourself: We love authenticity! Let your personality shine through in your cover letter. Share your eagerness to learn and how you can contribute to our dynamic environment.
Apply Through Our Website: For the best chance of success, apply directly through our website. It’s the easiest way for us to see your application and get you on board to impact millions daily!
How to prepare for a job interview at Depop
✨Know Your ML Models
Brush up on your knowledge of machine learning models, especially those relevant to ranking and personalisation. Be ready to discuss your past experiences with these models and how they can be applied to the company's needs.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and model implementation.
✨Prepare for Collaborative Questions
This role involves working with various teams, so expect questions about teamwork and collaboration. Think of examples where you successfully worked with others to achieve a common goal, particularly in a tech or data-driven environment.
✨Express Your Eagerness to Learn
The company values candidates who are eager to learn. Be prepared to discuss how you stay updated with the latest trends in machine learning and any new skills you’re currently pursuing. This shows your commitment to growth in this dynamic field.
