Senior MLOps Engineer

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team. In this role, your primary focus will be leading the design and evolution of the platforms, workflows, and governance practices that enable machine learning teams to develop, train, deploy, and operate ML systems reliably at scale. You will work across multiple data science teams and business domains, shaping a strong development environment, driving model lifecycle improvements, and helping set the standards that keep our ML systems scalable, maintainable, and well governed. The role sits within a broader shared cloud and data platform ecosystem, so you will also collaborate with adjacent platform teams and contribute to practical infrastructure, deployment, and access patterns that help DS teams move faster. This is a remote role in the US. What you will do: Primary Focus – MLOps Platform and ML Enablement Lead the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across Oura. Drive the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems. Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through