ML Engineer
EstablishedDevelop, train, deploy, and maintain machine learning models: the most traditional AI engineering role.
Who moves into this role
- Data scientist
- Software engineer + ML upskill
- Research scientist
Required skills
→ Python + PyTorch/TensorFlow
→ Data pipelines (Spark, Airflow, dbt)
→ Cloud ML platforms (SageMaker, Vertex)
Salary benchmarks (2026)
US market · ±30% · Base only. Europe runs 30–50% lower.
Entry $100K–$140K
Mid-level $140K–$200K
Senior $200K–$280K
Frequently asked questions
What does a ML Engineer do?
Develop, train, deploy, and maintain machine learning models: the most traditional AI engineering role.
What skills does a ML Engineer need?
The core skills are: Python + PyTorch/TensorFlow, Data pipelines (Spark, Airflow, dbt), Cloud ML platforms (SageMaker, Vertex).
What is the salary for a ML Engineer in 2026?
In 2026, a ML Engineer earns between $100K–$140K at entry level and $200K–$280K at senior level, with mid-level salaries around $140K–$200K. US market figures, ±30%.