MLOps Engineer Jobs
Build the infrastructure that powers production ML. We aggregate MLOps positions focused on pipelines, deployment, and model lifecycle management.
Market snapshotTap to expand367jobs
Market snapshot
Tap to expand
367
jobs
Salary distribution
coverage: 0%
<$100k
0
$100–150k
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$150–200k
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$200–250k
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$250k+
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median—
MLOps Jobs
367
Focus
Infrastructure
Avg Salary
N/A
Updated
Daily
Latest MLOps Positions
Showing 10 of 367 opportunities
AN
Staff+ Software Engineer, Safeguards Human Review Tooling
Anthropic
San Francisco, California, United StatesFull-time
$320k – 485k/yr
ViewAN
Staff+ Site Reliability Engineer, Safeguards ML Infra
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, NYFull-time
$320k – 485k/yr
ViewSC
Software Engineer - New Grad
Scale AI
San Francisco, California, United StatesFull-time
$124k – 162k/yr
ViewXA
Software Engineer, Data Platform
xAI
Palo Alto, California, United StatesFull-time
$180k – 440k/yr
ViewLA
Deployed Architect, Professional Services (NYC)
LangChain
New York, New York, United StatesFull-time
$170k – 215k/yr
ViewLA
Deployed Architect, Professional Services (Austin)
LangChain
Remote (United States), United States (Remote)Full-timeREMOTE
$170k – 215k/yr
ViewLA
Deployed Architect, Professional Services (Dallas)
LangChain
Remote (United States), United States (Remote)Full-timeREMOTE
$170k – 215k/yr
ViewLA
Deployed Architect, Professional Services (San Francisco)
LangChain
United States, United StatesFull-time
$170k – 215k/yr
ViewLA
Deployed Engineer, Professional Services (NYC)
LangChain
Remote (United States), United States (Remote)Full-timeREMOTE
$150k – 215k/yr
ViewLA
Deployed Engineer, Professional Services (San Francisco)
LangChain
Remote (United States), United States (Remote)Full-timeREMOTE
$150k – 215k/yr
ViewWhy 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
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