Machine Learning Engineer (UK)

Overview

In this role you will develop and deploy cutting-edge ML to personalize Bumble’s recommendations at scale. You’ll own problems end-to-end, from data exploration to model production, collaborating with cross-functional teams to improve user experiences. You’ll apply deep learning frameworks to train and optimize models in production and contribute to experimentation and evaluation pipelines. With a focus on responsible AI, you’ll help ensure fairness and safety in model deployment, driving impact from insight to action.

Responsibilities

• Explore, develop, and deliver ML tech to personalize recommendations at scale
• Own end-to-end problems from data exploration and feature engineering to model training, evaluation, and deployment
• Design, train, and optimize production models using PyTorch or TensorFlow
• Contribute to experimentation frameworks, including A/B testing and offline evaluation
• Maintain and monitor production models; diagnose issues and iterate for reliability
• Deliver high-quality solutions from insight to impact with speed and rigor
• Apply responsible AI practices focusing on fairness, transparency, and safety in model development and deployment

Key requirements

• Around 3 years of hands-on experience shipping ML models in production
• Strong Python programming skills and proficiency with PyTorch or TensorFlow
• Experience in researching or applying ML, especially in recommender systems, ranking or personalization
• Good understanding of MLOps and infrastructure concepts (CI/CD for ML, feature stores, model serving, observability, versioning)
• Familiarity with containerisation and cloud-native environments (Docker, Kubernetes, GCP)
• Familiarity with experimentation methodologies (A/B testing, model evaluation techniques)
• Agile mindset with ability to adapt approaches based on data and priorities
• Growing AI fluency with ability to apply ML techniques and emerging tools (including LLMs) to problems

• agile mindset
• data-driven decision making
• responsible AI awareness
• Python
• PyTorch
• TensorFlow

…