Senior ML Architect: Matching & Personalization in London

Senior ML Architect: Matching & Personalization in London

London Full-Time 75600 - 92400 Β£ / year (est.) No working from home possible
Bumbleinc

At a Glance

  • Tasks: Lead the development of ML models for personalisation and ranking on the Bumble platform.
  • Company: Bumble Inc., a leading tech company focused on user safety and engagement.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to innovation and user safety.
  • Why this job: Make a real impact on user experiences while driving responsible AI practices.
  • Qualifications: Extensive experience in machine learning and strong leadership skills.

The predicted salary is between 75600 - 92400 Β£ per year.

Bumbleinc in London, UK, is seeking a Principal Machine Learning Engineer to spearhead the technical direction for personalization and ranking across the Bumble platform.

You will scale production models to improve user interactions and safety while mentoring senior engineers.

Role focuses on building end-to-end ML pipelines, collaborating with leadership to translate business goals into ML solutions, and driving responsible AI practices in a dynamic environment.

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Senior ML Architect: Matching & Personalization in London employer: Bumbleinc

Bumbleinc is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive perks such as private medical and dental insurance, a personal development budget, and unlimited paid time off, all while working in a supportive environment that prioritises professional growth and the use of cutting-edge AI technologies.

Bumbleinc

Contact Details:

Bumbleinc Recruitment Team

We think you need these skills to ace Senior ML Architect: Matching & Personalization in London

Machine Learning
Personalisation Techniques
Ranking Algorithms
End-to-End ML Pipelines
Model Scaling
Mentoring
Collaboration with Leadership