ML Engineer: Personalised Recs (UK) - Unlimited PTO in London

ML Engineer: Personalised Recs (UK) - Unlimited PTO in London

London Full-Time 55000 - 66000 £ / year (est.) No working from home possible
Bumble

At a Glance

  • Tasks: Own ML problems from data exploration to production deployment for personalised recommendations.
  • Company: Join Bumble, a forward-thinking tech company focused on safe interactions.
  • Benefits: Enjoy unlimited PTO, competitive salary, and a supportive work culture.
  • Other info: Be part of a curious team that values excellence and growth.
  • Why this job: Make a real impact using modern ML techniques in a dynamic environment.
  • Qualifications: Experience in machine learning and a passion for innovation.

The predicted salary is between 55000 - 66000 £ per year.

Bumble is seeking a Machine Learning Engineer to own ML problems end-to-end, from data exploration through production deployment.

You will work with modern ML techniques to power personalised recommendations and safer interactions across our platform.

We value curiosity and excellence as we build scalable systems and apply AI thoughtfully.

You’ll contribute to experimentation, model training, evaluation, and ongoing monitoring in production environments. #J-18808-Ljbffr

ML Engineer: Personalised Recs (UK) - Unlimited PTO in London employer: Bumble

At Bumble, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our team thrives on creativity and collaboration, offering ample opportunities for professional growth in the rapidly evolving field of AI and Machine Learning. Located in a dynamic environment, we empower our employees to innovate and make a meaningful impact on how people connect, all while enjoying the benefits of a supportive and agile workplace.

Bumble

Contact Details:

Bumble Recruitment Team

We think you need these skills to ace ML Engineer: Personalised Recs (UK) - Unlimited PTO in London

Python
SQL
Data Engineering
Problem-Solving Skills
Attention to Detail
Communication Skills
Data Pipeline Development