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Remote CI/CD Jobs

Browse vetted 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
All job types
MLOps Engineer DevOps for AI CI/CD Platform Engineer ML Automation Engineer Infrastructure Engineer

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Jobs & Projects

Ema

Posted 1 hour ago

AI Resident UK/EMEA

Full-time
English
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Ema

Posted 3 hours ago

Devops Engineer, US

Full-time
English
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Nebius
senior
Full-time
English
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Nebius
senior
Full-time
English
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Nebius
staff
Full-time
English
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Elicit

Posted 5 hours ago

Infrastructure Engineer

Full-time
English
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Nebius
senior
Full-time
English
reinforcement learning deep learning machine learning python machine learning +4 more
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Elicit

Posted 6 hours ago

AI Engineer

Full-time
English
python machine learning llm ci/cd kubernetes +3 more
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Nousresearch
Full-time
English
reinforcement learning python docker machine learning llm +4 more
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Helsing

Posted 7 hours ago

Site Reliability Engineer

Full-time
English
reinforcement learning python machine learning mlops ci/cd +2 more
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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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