Machine Learning Engineer (UK)
Core
Develop and improve ML systems for matching, recommendation, and personalization experiences to help members discover meaningful connections.
Role type
Senior IC Machine Learning Engineer (Matching & Recommendations)
Builds
Production ML models for dating and friendship platform matching and personalization
Domain
Consumer Internet / Dating & Social / Recommendation Systems
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, MLOps, CI/CD for ML, feature stores, model serving, observability, versioning, containerization, cloud-native environments (Docker, Kubernetes, GCP), A/B testing, offline evaluation, embeddings, two-tower models, learning-to-rank, representation learning, transformers, graph neural networks, contrastive learning, multimodal embeddings, real-time ML inference
Preferred skills
Experience building recommendation, ranking, retrieval, or search systems in production
Responsibilities
Explore, develop, and deliver modern ML solutions for recommendations and matching; Own ML problems end-to-end from data exploration to production deployment; Design, train, and optimize models using modern frameworks; Contribute to experimentation including A/B testing; Build, maintain, and monitor production models; Apply responsible AI practices; Collaborate with cross-functional partners to translate problems into ML solutions
Seniority
Senior, hands-on IC