ML Engineer – Personalization & Recommendations (UK) in London

ML Engineer – Personalization & Recommendations (UK) in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Bumble Inc.

At a Glance

  • Tasks: Own ML projects from data exploration to deployment, creating personalised experiences.
  • Company: Join Bumble Inc., a leader in innovative tech and responsible AI.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a dynamic team that values curiosity and excellence.
  • Why this job: Make a real impact by shaping high-quality AI models for millions of users.
  • Qualifications: Experience with ML frameworks like PyTorch or TensorFlow and a passion for innovation.

The predicted salary is between 80000 - 100000 £ per year.

Bumble Inc. is seeking a Machine Learning Engineer for its Recommendations team in London.

You will own ML problems end-to-end—from data exploration to production deployment—building scalable, responsible AI that powers personalized experiences.

We value curiosity, excellence, and an agile mindset.

You'll work with Py Torch or Tensor Flow, Docker/Kubernetes, and CI/CD, shaping safe, high‑quality models used across the platform.

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ML Engineer – Personalization & Recommendations (UK) in London employer: Bumble Inc.

At Bumble, we pride ourselves on being an exceptional employer, fostering a culture of inclusivity and growth. Our commitment to employee development is reflected in our generous benefits package, including unlimited PTO, a personal learning budget, and enhanced parental leave, all designed to support your well-being and career progression. Join us in our vibrant location where curiosity and courage drive innovation, and be part of a team that values respect and collaboration in every decision.

Bumble Inc.

Contact Details:

Bumble Inc. Recruitment Team

We think you need these skills to ace ML Engineer – Personalization & Recommendations (UK) in London

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