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Remote CI/CD Jobs

Browse remote CI/CD positions — ML pipeline automation, DevOps for AI systems, and deployment engineering roles at AI-first companies.

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Remote worldwide
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MLOps Engineer DevOps for AI CI/CD Platform Engineer ML Automation Engineer Infrastructure Engineer

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Jobs & Projects

Nous Research

Posted 3 weeks ago

Machine Learning Engineer, Evals

Nous Research

Americas (US time zones)

Full-time
English
reinforcement learning python docker machine learning llm +4 more
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Nous Research

Posted 3 weeks ago

Software Engineer, Hermes Cloud

Nous Research

Americas (US time zones)

Full-time
English
Open job
Roboflow
Full-time
English
computer vision tensorflow machine learning pytorch machine learning +4 more
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Motional

Posted 3 weeks ago

Senior Systems Engineer, Robotaxi Systems

Motional

Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.

senior
Full-time
English
$172K – $229K / year
python machine learning databricks ci/cd looker
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Firecrawl

Posted 3 weeks ago

Cloud DevOps Engineer

Firecrawl

San Francisco HQ; Toronto Hub

Full-time
English
$246K – $271K / year
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TensorWave
staff
Full-time
English
Open job
TensorWave

Posted 3 weeks ago

Staff Database Engineer

TensorWave

Remote

staff
Full-time
English
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Motional

Posted 3 weeks ago

Senior Full Stack Engineer, Data Mining

Motional

Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.

senior
Full-time
English
$149K – $199K / year
python aws node.js react ci/cd +2 more
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TensorWave

Posted 3 weeks ago

Network Automation Software Lead

TensorWave

Remote

lead
Full-time
English
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Roboflow

Posted 3 weeks ago

Security Engineer

Roboflow

NY, SF or Remote

Full-time
English
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Role guide

What to expect in remote CI/CD jobs

CI/CD for AI is more complex than standard software — it requires validating not just code, but data, models, and system behaviour. Remote CI/CD jobs at AI companies involve building automated testing and deployment pipelines for ML systems, implementing model regression testing, and ensuring AI products ship reliably. Engineers who bridge DevOps and ML system knowledge are in consistent demand.

What you'll work on

  • Build automated ML testing pipelines that prevent broken models reaching production
  • Design deployment workflows that ship AI updates in minutes, not days
  • Implement shadow mode testing to safely validate new model versions on live traffic
  • Create infrastructure-as-code environments for reproducible AI development

What companies look for

  • CI/CD platform experience — GitHub Actions, GitLab CI, CircleCI, or Jenkins
  • ML-specific testing — data validation, model regression, integration testing
  • Blue/green and canary deployment strategies for safe ML model releases

Frequently asked questions

What remote CI/CD jobs are available at AI companies?

MLOps and DevOps engineering roles where CI/CD for ML systems is a core responsibility. Most require Docker and cloud platform experience (AWS, GCP, or Azure) alongside CI/CD pipeline knowledge.

What makes CI/CD for ML different from regular software CI/CD?

ML pipelines must validate data quality, model performance metrics, and integration behaviour — not just code correctness. Engineers design test suites that catch data drift, model degradation, and integration failures automatically.

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