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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

Nebius

Posted 3 weeks ago

Site Reliability Engineer

Nebius

Remote - United States

Full-time
English
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Nebius

Posted 3 weeks ago

Site Reliability Engineer in Network Infrastructure

Nebius

Amsterdam, Netherlands; Remote - Europe

Full-time
English
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Ironclad

Posted 3 weeks ago

Staff Application Security Engineer

Ironclad

San Francisco

staff
Full-time
English
$170K – $190K / year
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Ema

Posted 3 weeks ago

AI Resident UK/EMEA

Ema

United Kingdom (Remote)

Full-time
English
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Ema

Posted 3 weeks ago

Devops Engineer, US

Ema

Mountain View (Hybrid)

Full-time
English
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Nebius

Posted 3 weeks ago

Senior Site Reliability Engineer (SRE)

Nebius

Amsterdam, Netherlands; Berlin, Germany; Germany; Israel; London, United Kingdom; Prague, Czech Republic; Remote - Europe; United Kingdom

senior
Full-time
English
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Nebius

Posted 3 weeks ago

Senior/Staff Application Security Engineer

Nebius

Remote - Europe

staff
Full-time
English
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Elicit

Posted 3 weeks ago

Infrastructure Engineer

Elicit

Oakland, CA (or remote within US timezones)

Full-time
English
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Nebius

Posted 3 weeks ago

Senior ML Engineer (AI Research)

Nebius

Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom

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

Posted 3 weeks ago

AI Engineer

Elicit

Oakland, CA (or remote within US timezones)

Full-time
English
python machine learning llm ci/cd kubernetes +3 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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