Senior MLOps Engineer

Oura
United States
Workplace: RemoteFull timeUSD 147,900 - 203,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Collaboration","Ownership"]

Lead the design and evolution of Oura’s MLOps platform, workflows, and governance practices that help ML teams reliably develop, train, deploy, and operate models at scale. Partner with data science and engineering across domains to unify tooling, improve the ML lifecycle, and enhance reproducibility, lineage, access controls, and operational standards. Work within a shared cloud and data platform ecosystem to drive automation, CI/CD, observability, and infrastructure-as-code improvements.

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FursaFursa
Oura
Oura
6 days ago

Senior MLOps Engineer

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Last checked: 4 hours agoStatus: Live

Job Summary

Lead the design and evolution of Oura’s MLOps platform, workflows, and governance practices that help ML teams reliably develop, train, deploy, and operate models at scale. Partner with data science and engineering across domains to unify tooling, improve the ML lifecycle, and enhance reproducibility, lineage, access controls, and operational standards. Work within a shared cloud and data platform ecosystem to drive automation, CI/CD, observability, and infrastructure-as-code improvements.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead development and evolution of MLOps platform capabilities and operational foundations that support ML workflows at Oura.
  • •Unify workflows and tooling for reliable training, orchestration, and deployment of ML systems with improved manageability and maintenance.
  • •Define and evolve model governance practices, including reproducibility, lineage, access controls, and operational standards.
  • •Drive standards, automation, infrastructure-as-code, CI/CD, and documentation that make ML development more consistent across teams.
  • •Improve infrastructure automation, CI/CD, and observability; collaborate with platform and data engineering teams to align with broader data platform practices and onboard new use cases.

Pay and Benefits

Salary: USD 147,900 - 203,000 annually
Perks:Health InsuranceDentalVisionEquityPaid LeaveParental Leave

Key Requirements

  • •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 strong understanding of cloud infrastructure concepts.
  • •Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns, monitoring, and ongoing model maintenance.
  • •Familiarity with MLOps tooling such as MLflow, plus workflow orchestration, infrastructure-as-code, and CI/CD practices.
  • •Experience building or supporting production-grade ML workflows focused on reliability, reproducibility, and maintainability.
Experience:5+ yearsMachine learning
Skills:CommunicationCollaborationOwnership
Languages:English
Tech Stack:AWSMLflowDatabricksCI/CDInfrastructure-as-codeObservabilityExperiment tracking

Company Brief

Oura
Designs and sells the Oura Ring, a wearable device that tracks sleep, activity, and physiological signals to provide personalized health, recovery, and readiness insights via a companion app and analytics platform.
Industry: Wearables
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series C
Headquarters: Oulu, Finland
Founded: 2013
WebsiteLinkedIn