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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

Coder

Posted 6 days ago

Senior Solutions Engineer (Europe)

Coder

United Kingdom

senior
Full-time
English
£101K – £137K / year
docker aws claude llm ci/cd +2 more
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Coder

Posted 6 days ago

Senior Solutions Engineer (US West)

Coder

United States

senior
Full-time
English
$150K – $209K / year
docker aws claude llm ci/cd +2 more
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Wayve

Posted 6 days ago

Staff Software Engineer Engineer, Model Development Platform

Wayve

Sunnyvale, California USA

staff
Full-time
English
$276K – $294K / year
Open job
Motional

Posted 6 days ago

Senior Robotics Engineer

Motional

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

senior
Full-time
English
$149K – $199K / year
python machine learning ci/cd looker
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.txt

Posted 6 days ago

Staff Rust Developer

.txt

Remote - USA

staff
Full-time
English
$160K – $210K / year
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OpenRouter

Posted 6 days ago

Software Engineer, Platform

OpenRouter

Remote (US)

Full-time
English
$215K – $285K / year
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Constructor

Posted 6 days ago

Platform Engineer: Platform Enablement

Constructor

Remote

Full-time
English
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Replicant

Posted 6 days ago

Senior Site Reliability Engineer

Replicant

Remote

senior
Full-time
English
Open job
Replicant

Posted 6 days ago

Senior Software Engineer

Replicant

United States

senior
Full-time
English
$130K – $190K / year
machine learning python aws node.js react +11 more
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Replicant

Posted 6 days ago

Senior Software Engineer in Test

Replicant

Canada

senior
Full-time
English
python a/b testing ci/cd typescript
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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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