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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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762
jobs
Salary distribution
coverage: 100%
<$100k
2
$100–150k
4
$150–200k
5
$200–250k
6
$250k+
3
median$193k
MLOps Jobs
762+
Focus
Infrastructure
Avg Salary
$193k
Updated
Daily

Latest MLOps Positions

Showing 10 of 762 opportunities

CA

Sr. Director, Product Management - AI/ML Platform Intelligence

Capital One
Today
Little Falls Township, New Jersey, United StatesPart-time
$245k – 336k/yr
View
LE

Site Reliability Engineer (SRE) Artificial Intelligence (AI) Engineer

Leidos
Today
Hybla Valley, Virginia, United States (Remote)Full-timeREMOTE
$131k – 237k/yr
View
TE

AI Fullstack Software Engineer-Intern - Full-time

Teradata
Today
Frankfort, Kentucky, United StatesFull-time
$92k – 104k/hr
View
UL

AI/ML Operations Manager

Ulta Beauty, Inc.
Today
Villa Park, Illinois, United StatesFull-time
$119k – 160k/yr
View
WA

(USA) Staff, Data Scientist | Conversational AI

Walmart
Yesterday
East Foothills, California, United StatesFull-time
$143k – 286k/yr
View
CO

Principal Product Builder/ Agent Analytics / Optimization

Conviva
Yesterday
Foster City, California, United StatesFull-time
$180k – 230k/yr
View
TA

Software Engineer (Backend for AI Demos)

Tailored Management
Yesterday
Menlo Park, California, United States (Remote)Full-timeREMOTE
$187k – 208k/hr
View
RI

Staff AI Engineer, Commercial Technology

Rivian
Yesterday
Palo Alto, California, United StatesFull-time
$207k – 258k/yr
View
LO

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

Lockheed Martin
Yesterday
United StatesFull-time
$109k – 192k/yr
View
EX

Lead AI Safety and Enablement Engineer

Exact Sciences
Yesterday
Guadalupe, Arizona, United StatesPart-time
$184k – 276k/yr
View
View all 762 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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