or apply directly on Ōura's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 85 days Ōura's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- Yes 77% of Ōura's roles list one
- Ghost-job risk at Ōura
- high 111 stale, 2 reposted of 111 open
- Hiring momentum
- 159 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Ōura's own greenhouse board since 2026-08-03. Full hiring picture for Ōura.
About this role
The Senior MLOps Engineer at ŌURA will lead the design and evolution of platforms and workflows that support machine learning teams in developing, training, deploying, and operating ML systems at scale. This role involves collaborating with data scientists and engineers to enhance the ML lifecycle, defining governance practices, and improving infrastructure automation and CI/CD processes. The engineer will also work across multiple business domains to prioritize platform improvements and ensure the reliability and scalability of ML infrastructure.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Ōura as an employer.
What you need
- 5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field
- Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts
- Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns across ML systems, monitoring, and ongoing model maintenance
- Familiarity with data science ways of working and the tooling that supports experimentation and model operations, such as MLflow
- Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms
- Familiarity with secure access patterns, governance controls, and shared cloud or data platform services that support ML work at scale
Nice to have
- Experience supporting multiple data science teams through shared MLOps platforms or tooling
- Prior experience with Databricks
- Experience with governance and operational controls for ML systems at scale
- Experience driving cross-team tooling or workflow standardization in ML or data platforms
- Experience working in a high-growth environment with multiple stakeholders and evolving ML platform needs
What you get
- Competitive salary and equity packages
- Health, dental, vision insurance, and mental health resources
- An Oura Ring of your own plus employee discounts for friends & family
- 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- Paid sick leave and parental leave
Worth weighing
- No specific salary range mentioned for all locations, only regional tiers provided
- Remote role limited to certain states, excluding several US states
- Vague description of the exact technologies and tools used beyond MLflow
Summarised from Ōura's posting. Read the full original.
Listed by Ōura on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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