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 / 653
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?
Geriatric aide
19%
#494 / 653
View rankingGeriatric aide
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 |
|---|---|---|---|
Shift, the sheet and the diets.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Hygiene, the bed and the one who resists.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Transfer, the hoist and not hurting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Eating, the choke and staying on it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The family, the complaint and not arguing in the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Lift them, and not leaving them alone.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- bed hygiene
- hoist transfer
- choking
- care-home shifts
- pureed diets
- geriatric aide work
- repositioning
- being there
Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321