DevOpsHQ

MLOps Engineer Jobs in Stockholm

MLOps Engineers build and maintain the infrastructure for deploying, monitoring, and scaling machine learning models in production. They bridge the gap between data science and DevOps, automating ML pipelines, managing model registries, and ensuring reliable AI systems at scale.

We're currently tracking 7 open MLOps Engineer positions across our listings. These roles span on-site, hybrid, and remote teams at companies of every size, so whether you're looking for your first MLOps Engineer role or a senior leadership seat, there are live openings to explore and apply to today.

7 open positions Sweden · CET Avg salary: SEK65K-120K
Senior Machine Learning Engineer
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Rebtel •••••• ••••••
AWSCI/CDKubernetesAzureGCPCloudMonitoringPythonMLAI
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Machine Learning Engineer
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Rebtel •••••• ••••••
AWSCI/CDKubernetesAzureGCPCloudMonitoringPythonMLAI
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Senior ML Engineer
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Datatonic •••••• •••••• ••••••
AWSPlatformCI/CDAzureCloudPythonMLAGIGPUAI
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Senior AI/ML Engineer
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Magnet Forensics •••••• •••••• ••••••
InfrastructurePythonMLAIRustLLMGitSecurityIoTOSS
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Senior Staff Machine Learning Engineer, Content Platform
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Spotify •••••• •••••• ••••••
PlatformMLAIRustOSSArchitectureStrategyAutomationBuild SystemReliability
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Senior Staff Machine Learning Engineer
Premium
Spotify •••••• •••••• ••••••
PlatformMLAISRERustOSSStrategyAutomationReliabilityIntegration
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Senior Machine Learning Engineer
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Globaldevgroup •••••• •••••• ••••••
CI/CDCloudMonitoringPythonLinuxMLGPUAIObservabilityArchitectureStrategyDevOpsAutomationScalabilityReliabilityPyTorchTensorFlowStaffSeniorEngineerGrowth Machine Learning EngineerStaff ML EngineerModel DevelopmentResearchInnovationCollaborationMentorshipDeployment
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