AI·Advanced
Machine Learning Engineer
Target role — ML Engineer
Train, optimise and operate machine-learning models in production — owning the path from data to a deployed, monitored model.
By the end, you'll have shipped
Trained models with real metricsA feature pipelineA deployed model APIAn MLOps retraining loop
Career insight
5,900+
Open roles
active openings, last 30 days
$160k
Median salary
$115k–$230k · US median base, mid-level
Surging demand
Hiring demand
steady YoY postings
No degree required
Typical entry
Skills and portfolio carry interviews
Most-requested skills
MathCloud
Related roles
AI EngineerData EngineerResearch EngineerData Scientist
The path · 5 stages · 14 checkpoints
Stage progression
1
Math & Programming
The foundations ML genuinely requires — no hand-waving.
Python for ML
2 weeks
Math Foundations
Math3 weeks
Statistics & Data
1.5 weeks
2
Classical ML
Most production ML isn't deep learning — master the classics first.
3
Deep Learning
Neural networks where they earn their cost.
4
MLOps & Production
A model in a notebook isn't a product.
5
Capstone & Job Search
Prove the full lifecycle and interview well.