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?
Travel agent
29%
#55 / 623
View rankingTravel agent
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 |
|---|---|---|---|
Search flights, hotels, trains and packages.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Quote, compare and issue bookings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Serve the client: taste, visas and fears.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Changes, cancellations and incidents on the ground.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Groups, corporates and tailor-made trips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Suppliers, margins and liability for the booking.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- book flights
- organise trips
- issue bookings
- build packages
- handle cancellations
- advise on destinations
- process visas
- handle travel incidents
Sources for this job· O*NET 41-3041.00· ESCO/ISCO 4221