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Kubernetes ML Jobs

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

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Market snapshot
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147
jobs
Salary distribution
coverage: 100%
<$100k
1
$100–150k
4
$150–200k
7
$200–250k
6
$250k+
2
median$172k
K8s Jobs
147+
Focus
Infrastructure
Avg Salary
$181k
Updated
Daily

Latest Kubernetes ML Positions

Showing 10 of 147 opportunities

TR

Principal Architect, Analytics AI/ML Platform Engineering

Transunion
Today
Reston, Virginia, United StatesFull-time
$169k – 281k/yr
View
LO

AI Engineer Sr - Front End Developer, STAR.OS (hybrid, Secret)

Lockheed Martin Corporation
Yesterday
Moorestown, New Jersey, United StatesPart-time
$109k – 192k/yr
View
HE

AI Solution Engineer

Hewlett Packard Enterprise
Yesterday
Washington, District of Columbia, United States (Remote)Full-timeREMOTE
$152k – 349k/yr
View
TE

Senior AI/ML Engineer

TEKsystems
Yesterday
Baltimore, Maryland, United States (Remote)Full-timeREMOTE
$120k – 180k/yr
View
HU

Applied AI Software Engineer

Humana
Yesterday
New York, New York, United StatesFull-time
$142k – 196k/yr
View
HU

Applied AI Software Engineer

Humana
Yesterday
Boston, Massachusetts, United StatesFull-time
$142k – 196k/yr
View
TE

Director, AI & Automation

TEGNA
Yesterday
New York, New York, United StatesFull-time
$175k – 200k/yr
View
US

AI/ML Analyst

UST
Yesterday
Los Angeles, California, United StatesFull-time
$98k – 147k/yr
View
CI

Software Engineer Data/AI/Intelligent Systems I (Full Time) – United States

Cisco
2d ago
Fulton, Maryland, United StatesFull-time
$92k – 153k/yr
View
NO

2026 AI Engineer Intern - Remote

Northrop Grumman
2d ago
Redondo Beach, California, United States (Remote)InternshipREMOTE
$51k – 97k/hr
View
View all 147 kubernetes ml positions

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

MLOpsAWSMachine LearningData EngineerKubeflowDockerPythonRemote

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