Automation index
How much of a ML engineer’s job can AI already do?
Training a baseline and a notebook is fast. Shipping it, watching drift, and owning the miss is not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
ML engineer
29%
AI can already do 29% of this job.
#64 / 623
View rankingML engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Train models, features and notebooks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Evaluate, document and compare runs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Deploy, monitor and retrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to product about what a good error is.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Dirty data, bias and model limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
On-call, incidents and rollback.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Train models, features and notebooks
- Evaluate, document and compare runs
- Deploy, monitor and retrain
- Talk to product about what a good error is
- Dirty data, bias and model limits
- On-call, incidents and rollback
- machine learning engineer
- ingeniero ml
- mlops
Sources for this job· O*NET 15-1221.00· ESCO/ISCO 2511
IS WORK OVER?
Doctor
22%
#351 / 623
View rankingDoctor
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Collect, record, and maintain patient information, such as medical history, reports, or examination results.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 12% | +1.1 |
Prescribe or administer medication, therapy, and other specialized medical care to treat or prevent illness, disease, or injury.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Analyze records, reports, test results, or examination information to diagnose medical condition of patient.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 12% | +1 |
Manage and treat common health problems, such as infections, influenza or pneumonia, as well as serious, chronic, and complex illnesses, in adolescents, adults, and the elderly.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Explain procedures and discuss test results or prescribed treatments with patients.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 12% | +1 |
Monitor patients' conditions and progress and reevaluate treatments as necessary.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 12% | +1 |
Treat internal disorders, such as hypertension, heart disease, diabetes, or problems of the lung, brain, kidney, or gastrointestinal tract.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 12% | +0.8 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 36% | 28% | +10.1 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- manage research data
- operate open source software
- demonstrate disciplinary expertise
- think abstractly
- manage personal professional development
- synthesise information
Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2211