Kubernetes ML Jobs

Orchestrate ML at scale. We aggregate positions requiring Kubernetes expertise for ML training, serving, and infrastructure.

Market snapshot
Tap to expand
177
jobs
Salary distribution
coverage: 100%
<$100k
3
$100–150k
6
$150–200k
5
$200–250k
1
$250k+
5
median$153k
K8s Jobs
177+
Focus
Infrastructure
Avg Salary
$213k
Updated
Daily

Latest Kubernetes ML Positions

Showing 10 of 177 opportunities

Why Kubernetes for ML?

ML Infrastructure

  • Orchestrate training jobs at scale
  • Kubeflow for ML workflows
  • KServe for model serving
  • GPU scheduling and management
  • Standard for production ML

Platform Engineering

  • Build ML platforms for teams
  • Multi-cloud and hybrid deployments
  • Resource optimization and cost control
  • CI/CD for ML models
  • Path to ML platform leadership

K8s ML Compensation

Kubernetes + ML expertise is highly valuable for platform roles. Senior K8s ML engineers earn $180k-$320k+ at companies scaling AI infrastructure.

Related Infrastructure Roles

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