Staff ML Scientist: Ranking & Personalization Lead (Remote)

Staff ML Scientist: Ranking & Personalization Lead (Remote)

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of ranking models for personalised app experiences.
  • Company: Join Depop, a vibrant platform revolutionising online shopping.
  • Benefits: Enjoy remote work flexibility and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on mentorship and innovation.
  • Why this job: Make a significant impact on user experience through innovative machine learning.
  • Qualifications: Proven experience in machine learning and leadership skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Depop is seeking a Staff ML Scientist to join our Ranking ML team in the UK.

You will work with product, engineering, data, and ML engineers to build and maintain ranking models powering personalised results across the app.

As a staff-level member, you will set the technical vision, lead high-impact initiatives, and mentor others to drive innovation at scale while collaborating across domains and stakeholders.

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Staff ML Scientist: Ranking & Personalization Lead (Remote) employer: SwiftCruit

At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.

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Contact Details:

SwiftCruit Recruitment Team

We think you need these skills to ace Staff ML Scientist: Ranking & Personalization Lead (Remote)

Machine Learning
Ranking Models
Personalisation Techniques
Technical Vision Setting
Collaboration Skills
Mentoring
Innovation Management