Senior MLOps Engineer

Description: Join Oura as a Senior MLOps Engineer in the Data Engineering & Analytics team. Lead the design and evolution of platforms, workflows, and governance practices for machine learning systems. Collaborate with data science teams to improve ML lifecycle and ensure scalable, maintainable systems. Requirements: 5+ years of experience in MLOps, machine learning engineering, or related fields. Hands-on experience with AWS and strong understanding of cloud infrastructure. Familiarity with ML lifecycle, MLflow, CI/CD practices, and governance controls. Proven ability to drive standards across teams and strong communication skills. Benefits: Competitive salary and equity packages. Health, dental, vision insurance, and mental health resources. 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off. An Oura Ring and employee discounts for friends & family.