IS WORK OVER?

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

ML 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.

TaskShareAIPoints
Train models, features and notebooks.
Estimate

No public source provides a precise figure. This is our estimate.

22%48%+10.6
Evaluate, document and compare runs.
Estimate

No public source provides a precise figure. This is our estimate.

18%42%+7.6
Deploy, monitor and retrain.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Talk to product about what a good error is.
Estimate

No public source provides a precise figure. This is our estimate.

16%15%+2.4
Dirty data, bias and model limits.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
On-call, incidents and rollback.
Estimate

No public source provides a precise figure. This is our estimate.

14%16%+2.2
Total100%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

Arborist

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.

TaskShareAIPoints
Assess, risk and the owner’s report.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Climb, prune and the anchor.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Controlled fell and the one over the cable.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Arisings, chipping and leaving it clean.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The neighbour, the permit and not entering their plot.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Not dropping it on the roof, and coming down whole.
Estimate

No public source provides a precise figure. This is our estimate.

14%10%+1.4
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crown work
  • climb
  • controlled fell
  • risk report
  • anchors
  • chipping
  • cables
  • felling permits

Sources for this job· O*NET 37-3013.00· ESCO/ISCO 6113

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