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Browse remote CI/CD positions — ML pipeline automation, DevOps for AI systems, and deployment engineering roles at AI-first companies.
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Posted 6 months ago
Applications closedDataBridge Analytics
Hybrid (London, UK)
London, United Kingdom (UTC+0)
This role sits within the data and AI directorate of a UK central government department. Our team is responsible for the infrastructure that runs mach...
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Posted 6 months ago
Applications closedPolarML
Remote
New York, United States (UTC-5)
A fintech data platform has accumulated too many one-off feature pipelines and inconsistent lineage. The internal team knows what needs to be cleaned...
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Posted 6 months ago
Applications closedSelva Technologies
Remote
Denver, United States (UTC-7)
We are the company behind an open source ML experiment tracking and model registry tool with 9,200 GitHub stars and a contributor community of 340 peo...
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We are a fully distributed team of 23 people across 11 time zones. We have not held a synchronous all-hands meeting in two years. Every significant de...
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Posted 6 months ago
Applications closedKora Intelligence
Remote
New York, United States (UTC-5)
We run 20 ML models in production. Some of them are fine. Some of them catch fire in ways that are not always predictable. Our current infrastructure...
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Posted 6 months ago
Applications closedSelva Technologies
Remote
Los Angeles, United States (UTC-8)
Eight months ago, one of our data scientists deployed a model update by running a script on his laptop and copying the output file to a production ser...
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Posted 6 months ago
Applications closedDeepwave Systems
Remote
New York, United States (UTC-5)
We operate a real-time recommendation system serving 800 million requests per day across 40+ models running in parallel on AWS, with specific workload...
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Posted 6 months ago
Applications closedQuantumEdge
Remote
New York, United States (UTC-5)
I want to be honest with you about what we are and what we're not. We are a 400-person company. We have a mature product, a real revenue base, and a d...
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Posted 6 months ago
Applications closedVectorMind
Remote (EU)
Berlin, Germany (UTC+1)
We are a Series A computer vision startup with models running in production on AWS. Our MLOps setup is functional but scrappy. We need a junior MLOps...
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Posted 6 months ago
Applications closedDataBridge Analytics
Remote
New York, United States (UTC-5)
Our researchers are brilliant. Our infrastructure is not. Training runs die halfway through, experiment results get lost, and deployments happen over...
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Role guide
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 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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