IS WORK OVER?

Automation index

Can AI do a ML engineer’s job?

Takes machine-learning models from a trial to a live system.

It also does not predict how many people will lose their jobs.

IS WORK OVER?

ML engineer

41%

AI or a robot can already do 41% of this job.

#10 / 182

Where the week goes

Score = Σ (weight × saving). Weights are our frequency estimate, not an O*NET time %. Saving is separate evidence or estimate.

Task weights are our estimate from O*NET frequency (FT). O*NET does not publish share of the week.

Task Share AI Adds
Train and evaluate
Estimate

No public source pins this saving. It is an estimate from the method.

35% 55% +19.3
Shipping to prod
Estimate

No public source pins this saving. It is an estimate from the method.

25% 45% +11.3
Data and features
Estimate

No public source pins this saving. It is an estimate from the method.

25% 30% +7.5
The business problem
Estimate

No public source pins this saving. It is an estimate from the method.

15% 20% +3
Total 100% 41%

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

Occupation sources · O*NET 15-2051.00 · ESCO/ISCO 2521

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Nearby in the ranking

  1. 07 Court clerk 44%
  2. 08 Paralegal 44%
  3. 09 Chemist 41%
  4. 11 Archivist 40%
  5. 12 Data analyst 40%
  6. 13 Data scientist 40%