bumbleinc - Machine Learning Engineer (UK)
Requirements
• Bumble is looking for a Machine Learning Engineer (Computer Vision) to join our Trust & Safety team and play a key role fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means implementing, deploying and maintaining state of the art machine learning models, particularly in computer vision, that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates. • 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)
Responsibilities
• Explore, develop, and deliver cutting-edge technology using the latest advances in deep learning and machine learning to personalize recommendations at Bumble • Own defined problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment • 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 • ## 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 responsible
Benefits
• Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job-related considerations. • 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 • Subsidised gym membership • ‘Double matched’ pension contributions up to 6% • Premium App Access • Inclusion at Bumble Inc.
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