Remote MLOps Engineer Jobs (2026)
Remote MLOps Engineer roles are ideal for infrastructure-minded engineers who want to build scalable ML platforms from anywhere. These positions involve designing training pipelines, model serving systems, monitoring, and the tooling that keeps AI systems running reliably in production.
Last updated: June 27, 2026
Latest Remote MLOps Jobs
View all jobsMLOps Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
Machine Learning Engineer (Databricks + MLOps) - Remote - Latin America
MLOps Engineer - Remote - Latin America
Lead Data Center Systems Architect/Engineer (Mechanical & Infrastructure) – AI Infrastructure & Data Center
Senior AI Platform Engineer
AI Infra Engineer
Senior Product Manager, AI Platform & Ecosystem
AI Platform & Integration Engineer
Lead Machine Learning Engineer - ML Infrastructure
Principal AI Infrastructure & Hardware Program Management
Senior Machine Learning Engineer, AI Platform
Technical Director, Media & Entertainment AI Infrastructure
Senior AI Platform Engineer
Senior Software Engineer II, (ML/AI Platform)
Senior Machine Learning Engineer, AI Platform
Senior Technical Product Manager, Doc Platform & AI Infrastructure
ML Platform Engineer
AI Infrastructure Operations Engineer
Machine Learning Systems Engineer, Ads ML Platform
Machine Learning Systems Engineer, Ads ML Platform
Frequently Asked Questions
Is MLOps a good remote career?
MLOps is one of the most remote-friendly AI specializations, with AI jobs being 3x more likely to offer remote work than non-AI roles. The work is primarily infrastructure and tooling-focused, which translates perfectly to remote collaboration. MLOps Engineers earn $132K-$199K, with senior roles reaching $160K-$220K+. The field is actively evolving into LLMOps as companies deploy large language model applications at scale, creating new growth opportunities for remote professionals.
What tools do remote MLOps engineers use?
Common tools include Kubernetes and Docker (increasingly essential for AI deployment), MLflow, Kubeflow, Airflow, Terraform, and cloud ML services like AWS SageMaker and Google Vertex AI. Strong knowledge of CI/CD, infrastructure-as-code, and monitoring systems is essential. Python appears in 47-58% of AI job listings, and MLOps engineers must also be proficient in cloud platforms. As MLOps evolves into LLMOps, experience with model serving frameworks like vLLM and TGI is becoming increasingly valued.
What is the salary for remote MLOps engineers?
Remote MLOps engineers earn $132K-$199K for mid-level roles, with senior positions reaching $160K-$220K+. US-based remote roles average $147K-$176K, while Western Europe ranges from $72K-$160K. Workers with MLOps and AI infrastructure skills earn approximately 25% more than peers without specialized AI expertise. The transition from MLOps to LLMOps is creating premium compensation for engineers who understand both traditional ML pipelines and LLM-specific deployment challenges.
AI Job Insights for Remote MLOps Jobs
Salary Range (Yearly, USD)
$50K - $396K
Median $160K from 62 listings with salary data
Top Companies Hiring
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Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
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