Machine Learning Engineer

Responsibilities

• Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both
• Build the deployment path our data scientists use to ship models themselves, including bring-your-own-model support for clients hosting their own
• Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation
• Build and optimise the pipelines that turn raw device and behavioural signals into production-ready features
• Work across Python and our Go backend to keep inference fast inside the request path
• Build models yourself where it makes sense, roughly 20% of the role, and more if you want it
• Champion testing, observability, security and compliance in a regulated environment

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