Senior Machine Learning Engineer

This role owns the full lifecycle of the company's matchmaking and personalisation engine — from architecture through production deployment. You will build the real-time ranking and recommendation infrastructure that makes every user's experience feel individually curated, partnering closely with Data, Product, and Backend teams to ship systems that directly define the product.

Key Responsibilities:

• Design, build, and own end-to-end matchmaking, recommendation, ranking, and personalisation systems
• Develop a real-time adaptive matchmaking engine that learns continuously from user interactions and behavioural signals
• Build user embedding systems, similarity models, and graph-based match scoring frameworks
• Architect and implement cold-start solutions to deliver quality recommendations for new users with sparse data
• Deploy models to production with fast iteration loops, model registries, and observability tooling