Staff ML Scientist: Core ML & Vision, Hybrid/Remote

Staff ML Scientist: Core ML & Vision, Hybrid/Remote

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Depop

At a Glance

  • Tasks: Design and develop cutting-edge machine learning solutions for fashion resale.
  • Company: Join DEPOP, a leading platform in the fashion resale industry.
  • Benefits: Enjoy flexible working, health benefits, and an employee assistance programme.
  • Other info: Dynamic team environment with opportunities for growth and influence.
  • Why this job: Make a real impact in the fashion world with innovative ML technologies.
  • Qualifications: Experience in machine learning, mentoring, and collaboration skills required.

The predicted salary is between 60000 - 80000 Β£ per year.

DEPOP is seeking a Staff Machine Learning Scientist to join our new Core ML team in the UK. This role involves designing, developing, and deploying robust machine learning solutions for fashion resale, and leading initiatives across multiple domains.

As a key member, you will mentor others, collaborate with stakeholders, and influence decisions in a dynamic environment. Bonus points for experience in NLP, cloud platforms, and platform-style ML systems.

The position offers flexible working, health benefits, and an employee assistance program.

Staff ML Scientist: Core ML & Vision, Hybrid/Remote employer: Depop

DEPOP is an excellent employer that fosters a collaborative and innovative work culture, particularly within its new Core ML team in the UK. Employees benefit from flexible working arrangements, comprehensive health benefits, and opportunities for professional growth through mentorship and cross-domain initiatives, making it a rewarding place for those passionate about machine learning in the fashion resale industry.

Depop

Contact Details:

Depop Recruitment Team

We think you need these skills to ace Staff ML Scientist: Core ML & Vision, Hybrid/Remote

Machine Learning
NLP (Natural Language Processing)
Cloud Platforms
Robust Solution Design
Development and Deployment of ML Solutions
Mentoring
Collaboration with Stakeholders