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Market signals

Brewdex

Skill · Specialist task · Data

Tracked since June 2024

Machine learning in All Australia

Building models that learn patterns from data.

Also searched as ml, predictive modelling, scikit-learn

Right now

12-month change
Up+15%8,378 → 9,660 ads
Job ad aggregate
4 wk
Up+15%777 → 891 ads
Entry
10.5%94 of 891 ads
  • Demand891job ads in 28 days
    Job ads
  • 4-week changeUp+15%777 → 891 ads
    Job ads
  • 12-month changeUp+15%8,378 → 9,660 ads
    Job ads
  • Entry-level share10.5%94 of 891 ads
    Job ads
  • No PR stated66.0%588 of 891 ads
    Job ads
  • Employers hiring271top 5 post 18.3%
    Job ads
  • Median salary$140k4,250 of 9,660 ads
    Job ads
4 more measures

Advanced measures are noisier or easier to misread. Open the ⓘ next to each before leaning on it.

  • Skill premium+8.0%+8% vs same roles without it
    Job ads
  • Remote or hybrid51.1%455 of 891 ads
    Job ads
  • Contract share22.0%196 of 891 ads
    Job ads
  • Volatility0.080.08 (steady below 0.15)
    Job ads

Composition

Roles that ask for Machine learning

Co-occurrence

Often asked for together

Oftenasked for in the same ads most of the time
PyTorchLLM engineeringStatistics
Sometimesa common pairing in some roles
PythonApache Spark
Occasionallyshows up together now and then
SQLRustKubernetes

Location

Where the ads are

  • New South Wales331 · 37.2%
  • Victoria257 · 28.9%
  • Queensland111 · 12.5%
  • Western Australia75 · 8.4%
  • Australian Capital Territory66 · 7.4%
  • South Australia34 · 3.8%
  • Tasmania12 · 1.3%
  • Northern Territory4 · 0.45%

890 ads in the last four weeks under your filter, by state or country.

Before you decide

Demand is only one input

Learning effort

A year or more

Usually a year or more, often through a degree major or sustained project work.

Transferability

Moderate

Carries over to several related roles.

Rising ads don’t mean you should learn this.

Your interests, the time you have and what people in the work tell you matter more. Effort and transferability are editorial estimates, not measurements.

Next step

Numbers only go so far. Ask someone who uses Machine learning.