Remote Machine Learning Engineer
Jobs
Remote machine learning engineer jobs sit at the intersection of software engineering and AI research — building, training, and deploying ML models in production systems. In 2026, ML engineers are in extremely high demand as every company tries to integrate AI. If you can train models, optimize inference, and deploy reliable ML systems, you're one of the most sought-after engineers in remote work.
829 positions· page 3/28
Vibe coding & IT systems specialist (API + Automation focus)
Front End Full Stack Developer
Director of Engineering
Lead AI Engineer
Director of Development
AI Native Software Engineer
Senior Backend Engineer - Observability Ingest - Kubernetes Operator/Helm Chart
Senior Backend Engineer - Observability Ingest - Kubernetes Operator/Helm Chart
Senior Backend Engineer - Observability Ingest - Kubernetes Operator/Helm Chart
Director, Machine Learning Engineering - Surfaces Foundation
Senior Vue Developer
AI Engineer
Senior Firmware Automation Engineer
AI ML Engineer
Principal AI Engineer
Generative AI Engineer – LLM & Agentic Systems - AIRLHV
AI Engineer / Applied AI Developer
Software Engineer, Finance Applications
AI Engineer
AI Developer
Data Engineer
Senior Generalist Engineer - Healthcare AI Platform (US, Remote)
Sr. AI & Data Scientist
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
Staff Software Engineer - Grafana Cloud k6
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Frequently Asked Questions
What's the difference between ML Engineer and AI Engineer?
The terms are often used interchangeably, but ML Engineer traditionally focuses more on training models (data pipelines, experimentation, model optimization), while AI Engineer focuses more on deploying AI systems (LLM APIs, agents, production infrastructure). In practice, roles overlap significantly.
What salary can remote ML engineers expect?
ML engineers command premium salaries. Mid-level: $120k–$180k, senior: $180k–$280k, staff/principal: $280k–$450k+ at top AI companies. Equity at AI startups can be substantial. Demand far exceeds supply in 2026.
What programming languages do ML engineers use?
Python dominates ML engineering (PyTorch, TensorFlow, scikit-learn, Hugging Face). Some roles also use C++ for performance-critical inference code. Rust is emerging for ML tooling. But Python is 95% of the job.
Do ML engineers need a PhD?
Not for most ML engineering roles. PhDs are common at research labs (OpenAI, DeepMind), but production ML engineering roles value engineering skills and shipped projects over academic credentials. Strong fundamentals + portfolio > degree.
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