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?
Postal worker
18%
#548 / 623
View rankingPostal worker
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 |
|---|---|---|---|
Sort, rounds and postcodes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Deliver, climb and hand over.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Notices, recorded items and collections.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Neighbours, dogs and porters.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Moped, trolley and weather.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Not losing a parcel or recorded mail.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Sort, rounds and postcodes
- Deliver, climb and hand over
- Notices, recorded items and collections
- Neighbours, dogs and porters
- Moped, trolley and weather
- Not losing a parcel or recorded mail
- cartero
- cartera
- postal worker
Sources for this job· O*NET 43-5052.00· ESCO/ISCO 4412