Hire MLOps Specialists Without the Job Board Noise

Discover available MLOps specialists for remote, hybrid, onsite, contract, freelance, and permanent hiring on Wigiwork.

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@MLOps_Ninja

MLOps Specialist

$ 115,000/yr
Available now
Tallinn, Estonia7 years
DockerKubernetesMLflowCI/CDTerraformKubeflowAWS SageMakerAirflowPrometheusPythonModel Monitoring
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Discover MLOps Specialists With Commercial Experience

Wigiwork helps companies discover MLOps specialists and machine learning infrastructure engineers with real commercial experience in automating end-to-end model workflows, managing containerized AI environments, and ensuring high model observability in production.

Instead of relying only on public job ads, recruiter markups, or cold outreach, companies use Wigiwork to review anonymous profiles by MLOps stack, model deployment experience, availability, work type, location, and compensation before requesting access.

Core MLOps Technologies

  • Infrastructure: Kubernetes, Docker, Terraform, Cloud MLOps (SageMaker, Vertex AI, Azure ML)
  • Pipelines/Orchestration: Apache Airflow, Kubeflow, MLflow, Argo Workflows
  • Observability/Versioning: Prometheus, Grafana, DVC (Data Version Control), Weights & Biases

For MLOps Specialists

MLOps specialists use Wigiwork to stay private, set their expected salary or contractor rate, and get discovered for remote, hybrid, onsite, contract, freelance, and permanent opportunities. Your identity stays anonymous by default until you choose to approve a direct access request from a verified company.

Supported Work Types

  • Remote MLOps engineer roles
  • Hybrid model deployment positions
  • Onsite machine learning infrastructure roles
  • Contract AI infrastructure projects
  • Freelance automation consultancy work
  • Permanent MLOps specialist jobs

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Use Wigiwork to discover MLOps specialists by skills, experience, availability, work type, location, and compensation expectations.

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MLOps Specialist Hiring FAQs

Search Wigiwork by MLOps role, model deployment experience, ML infrastructure stack, cloud platform, work type, availability, salary, and location. Review anonymous profiles first, then request access when there is a serious hiring match.

Wigiwork helps companies discover off-market MLOps specialists without relying only on job boards, recruiter markups, or cold outreach. Profiles can be reviewed anonymously before identity or contact access is approved.

MLOps specialists usually work across model deployment, CI/CD for machine learning, model monitoring, orchestration, cloud infrastructure, automation, and production AI systems. Common skills include Docker, Kubernetes, MLflow, Kubeflow, Airflow, Terraform, AWS SageMaker, Vertex AI, Azure ML, Prometheus, Grafana, Python, and DVC.