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MLOps Engineer Jobs

Build the infrastructure that powers production ML. We aggregate MLOps positions focused on pipelines, deployment, and model lifecycle management.

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Market snapshot
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475
jobs
Salary distribution
coverage: 100%
<$100k
0
$100–150k
3
$150–200k
9
$200–250k
4
$250k+
4
median$183k
MLOps Jobs
475+
Focus
Infrastructure
Avg Salary
$199k
Updated
Daily

Latest MLOps Positions

Showing 10 of 475 opportunities

JO

AI / Machine Learning Engineer Manager (Hybrid-TS Clearance required)

Jobs via Dice
Today
United StatesFull-time
$156k – 276k/yr
View
JO

AI Software Engineer

Jobs via Dice
Today
Columbia, Maryland, United StatesPart-time
$87k – 198k/yr
View
FI

Staff Software Development Engineer in Test

Fivetran
Today
Oakland, California, AMERFull-time
$187k – 233k/yr
View
SH

Sr. Director Program Management - Strategic Systems (R4980)

Shield AI
Today
Washington, District of Columbia, United StatesFull-time
$210k – 310k/yr
View
HA

Support Operations Data Analyst

Harvey
Today
Remote (USA), United States (Remote)Full-timeREMOTE
$112k – 168k/yr
View
JA

Applied AI Lead ($150k-$200k + Equity) at Alternative Payments

Jack & Jill
Today
New York, New York, United StatesFull-time
$150k – 200k/yr
View
AR

Forward Deployed AI Engineer, West

Arize AI
Today
Remote (San Francisco), United States (Remote)Full-timeREMOTE
$125k – 175k/yr
View
WA

Silicon Emulation Engineer

Waymo
Today
Mountain View, California, United StatesFull-time
$175k – 215k/yr
View
AN

Platform Hardware Security

Anthropic
Today
San Francisco, CA | New York City, WAFull-time
$405k+/yr
View
HA

Lead AI Engineer - Cybersecurity

Harnham
Today
Fort Meade, Maryland, United StatesFull-time
$200k – 225k/yr
View
View all 475 mlops positions

Why MLOps?

Production ML

  • Build scalable ML training and serving pipelines
  • Implement CI/CD for machine learning models
  • Design feature stores and model registries
  • Monitor model performance and detect drift
  • Optimize inference latency and cost

Growing Field

  • Critical role as companies scale ML adoption
  • Blend of ML knowledge and DevOps skills
  • Work with Kubernetes, Kubeflow, MLflow, and more
  • High demand across all industries
  • Path to ML platform leadership

MLOps Compensation

MLOps engineers are increasingly valuable as companies scale ML. Senior MLOps roles earn $180k-$320k+ at top companies, with strong demand continuing to grow.

Related MLOps Roles

Machine LearningData EngineerPlatform EngineerDevOpsKubernetesAWSPythonRemote

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