ML Infrastructure Engineer

Senior MLOps Engineer - Remote role with infrequent travel

Build the systems behind next-generation AI authentication

Our global client is building advanced behavioural intelligence technology that enables secure, adaptive digital identity. By analysing how people naturally interact with devices, their AI systems generate powerful authentication signals designed for real-world use at scale.

They’re now moving from R&D into live customer deployments and are looking for an experienced Senior MLOps Engineer to help take behavioural AI models into production and keep them running reliably as usage scales globally.

This is a hands-on, production-focused role with real ownership across how machine learning is deployed, monitored, and operated in the real world.

If your experience has mainly been configuring managed services rather than building and operating ML infrastructure yourself, this role is unlikely to be a g...