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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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435
jobs
Salary distribution
coverage: 100%
<$100k
0
$100–150k
5
$150–200k
4
$200–250k
4
$250k+
7
median$211k
MLOps Jobs
435+
Focus
Infrastructure
Avg Salary
$213k
Updated
Daily

Latest MLOps Positions

Showing 10 of 435 opportunities

NU

Software Engineer, Performance - New Grad

Nuro
Today
Mountain View, California (HQ)Full-time
$153k – 175k/yr
View
NU

Software Engineer, Performance

Nuro
Today
Mountain View, California (HQ)Full-time
$160k – 241k/yr
View
NU

Senior Software Engineer, Performance

Nuro
Today
Mountain View, California (HQ)Full-time
$194k – 291k/yr
View
AM

Delivery Consultant - AI/ML, WWPS ProServe US-FedCiv

Amazon Web Services (AWS)
Today
Arlington, Virginia, United StatesFull-time
$131k – 178k/yr
View
1X

AI Residency

1X Technologies AS
Today
San Carlos, California, United StatesFull-time
$120k+/mo
View
AN

Research Scientist, Life Sciences

Anthropic
Today
San Francisco, California, United StatesFull-time
$300k – 320k/yr
View
AN

Product Engineer, Computer Use

Anthropic
Today
San Francisco, CA | Seattle, WAFull-time
$300k – 320k/yr
View
PA

AI Engineer ( Automation)

Paychex
Today
United StatesFull-time
$101k – 159k/yr
View
DA

Lakebase Sales Specialist, Healthcare & Life Sciences

Databricks
Today
Central - United States, Northeast - United States, West Coast - United StatesFull-time
$146k – 201k/yr
View
BO

AI and ML Software Engineer

Booz Allen Hamilton
Today
Alexandria, Virginia, United StatesFull-time
$69k – 158k/yr
View
View all 435 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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