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

Copy editor

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
Spelling, agreement and consistency.
Estimate

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

18%52%+9.4
Style, repetition and sentence rhythm.
Estimate

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

16%48%+7.7
Queries to the author, grey areas and the house style.
Estimate

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

16%28%+4.5
Second proofs, PDF and last-minute typos.
Estimate

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

18%22%+4
Deadlines with publisher, layout and translation.
Estimate

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

16%18%+2.9
Judgement, not over-rewriting, and the typo that remains.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • copy-edit
  • spelling and punctuation
  • unify style
  • catch typos
  • house style
  • second proofs
  • author queries
  • avoid over-editing

Sources for this job· O*NET 27-3041.00· ESCO/ISCO 2641

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