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: May 13, 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
Senior MLOps Engineer
MLOps Engineer
Engineering Manager, Data Platform & ML Ops
Technical Director, Media & Entertainment AI Infrastructure
Staff Product Manager- AI Platform
Technical Director, Media & Entertainment AI Infrastructure
Senior Software Engineer - Agentic AI Platform
Senior Software Engineer, GenAI Platform
Senior Staff Machine Learning Engineer, GenAI Platform
AI Infrastructure & Security Intern
Staff ML Engineer - ML Infrastructure
Software Engineer II, AI Platform
Principal Product Manager - AI Platform
Senior Software Engineer, AI Platform
Sr AI Engineer, AI 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 $156K from 48 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
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