Machine Learning Engineer (UK)

Bumble; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual learning budget

Private medical insurance

Unlimited PTO

Pension contributions up to 6%

Dental insurance

Gym subsidy

Job summary

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.

Qualifications

• Hands-on ML engineering experience
• Strong Python skills and ML framework proficiency
• Experience with recommender/personalisation or ranking is a plus
• Knowledge of MLOps, feature stores, and model serving
• Familiarity with containerisation and cloud-native environments

Responsibilities

• Own ML problems end-to-end from data exploration to production deployment
• Experiment with and improve models using modern ML frameworks
• Design, train, and optimise models in production environments
• Contribute to experimentation frameworks including A/B testing
• Monitor and maintain production models ensuring reliability at scale
• Apply responsible AI practices for fairness, transparency, and safety

Skills

ML engineering

Python

Experimentation

Agile mindset

Education

Bachelor's degree in CS or related

Tools

PyTorch

TensorFlow

Docker

Kubernetes

CI/CD for ML

Feature stores

Job description

At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to making that real for millions of people every day. As part of our Machine Learning team in Recommendations, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform.

As a Machine Learning Engineer, you'll own ML problems end-to-end, from data exploration through to production. You'll bring curiosity to how we experiment, iterate, and improve, and you'll role‑model our values of Curiosity and Excellence by continuously raising the bar in how we build and apply AI.

AI is deeply embedded in how we evolve at Bumble. In this role, you'll work with modern machine learning and emerging AI techniques, contributing to scalable systems and helping ensure AI is applied thoughtfully and responsibly in what we ship.

WHAT YOU WILL BE DOING

• Explore, develop, and deliver cutting‑edge technology using the latest advances in deep learning and machine learning to personalise recommendations at Bumble
• Own defined problems end‑to‑end, from data exploration and feature engineering through to model training, evaluation, and production deployment
• Apply modern ML frameworks (e.g., PyTorch or TensorFlow) to design, train, and optimise models in production environments
• Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset
• Maintain and monitor production models, diagnose issues, and iterate to keep them reliable at scale
• Take ownership of delivering high‑quality solutions and see work through from insight to impact, balancing speed and rigor
• Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment

WE’D LOVE TO MEET SOMEONE WITH

• Around 3 years of hands‑on experience building and shipping machine learning models in production
• Strong programming skills in Python and solid proficiency with an ML framework such as PyTorch or TensorFlow
• Industry experience in researching or applying machine learning, especially if in recommender systems, ranking or personalisation
• Good understanding of MLOps and infrastructure concepts: CI/CD for ML, feature stores, model serving, observability, and versioning
• Familiarity with containerisation and cloud‑native environments (e.g., Docker, Kubernetes, GCP)
• Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques
• Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while maintaining focus on outcomes
• Growing AI fluency, with the ability to independently apply ML techniques and emerging tools (including LLMs) to solve problems responsibly

AN ADDED BONUS IF YOU HAVE

• practical experience with recommendation systems, ranking, search or personalisation
• expertise in modern machine learning architectures (e.g., transformers, graph neural networks, contrastive learning, and multi‑modal embeddings)

Benefits & Perks

• Annual personal learning & development budget
• Private Medical Insurance (PMI)
• Private Dental Insurance
• Babylon Health app
• Mental health support
• Enhanced parental leave, including a highly competitive maternity package
• Unlimited PTO
• Subsidised gym membership
• ‘Double matched’ pension contributions up to 6%
• Premium App Access

Inclusion at Bumble Inc.

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non‑binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

AI in Bumble Inc. Hiring

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