Role · Data
Industry title — no single ANZSCO code
Machine Learning Engineer in All Australia
Takes models from notebooks into reliable production systems.
Also searched as ml engineer, ai engineer
Right now
- Entry
- 7.3%17 of 234 ads
- Job ads
- 234job ads in 28 days
Statistics
- 12-month changeUp+29%1,940 → 2,506 adsOfficial
- Demand234job ads in 28 daysJob ads
- 4-week changeUp+7.3%218 → 234 adsJob ads
- Entry-level share7.3%17 of 234 adsJob ads
- No PR stated70.1%164 of 234 adsJob ads
- Employers hiring82top 5 post 19.4%Job ads
- Median salary$149k1,103 of 2,506 adsJob ads
5 more measuresFewer measures
Advanced measures are noisier or easier to misread. Open the ⓘ next to each before leaning on it.
Advertised pay
What ads for this role offer
$149ka year
1,103 of 2,506 ads in the last 12 months state a salary (44.0%).
Job ad aggregateAdvertised base salary, not total pay. Senior roles state pay less often, so the real range is likely wider.
Top holdings
What these ads ask for
The skills that make up this role: the share of Machine Learning Engineer ads that mention each one. An ad usually asks for several skills, so shares add up to more than 100%.
- 90% of Machine Learning Engineer ads mention Python.
PythonLanguages
in 90% of these ads - 85% of Machine Learning Engineer ads mention Machine learning.
Machine learningData
in 85% of these ads - 60% of Machine Learning Engineer ads mention PyTorch.
PyTorchData
in 60% of these ads - 45% of Machine Learning Engineer ads mention LLM engineering.
LLM engineeringData
in 45% of these ads - 40% of Machine Learning Engineer ads mention Docker.
DockerCloud & infrastructure
in 40% of these ads - 40% of Machine Learning Engineer ads mention AWS.
AWSCloud & infrastructure
in 40% of these ads - 30% of Machine Learning Engineer ads mention Kubernetes.
KubernetesCloud & infrastructure
in 30% of these ads - 6% of Machine Learning Engineer ads mention Rust.
RustLanguages
in 6% of these ads
Location
Where the ads are
- Victoria85 · 36.2%
- New South Wales81 · 34.5%
- Queensland25 · 10.6%
- Australian Capital Territory17 · 7.2%
- Western Australia15 · 6.4%
- South Australia8 · 3.4%
- Tasmania4 · 1.7%
- Northern Territory0 · 0.00%
235 ads in the last four weeks under your filter, by state or country.
Everyday abilities
Core competencies
How much of each everyday ability Machine Learning Engineer work typically calls for. Every job uses these, so we don’t track demand for them.
- Digital engagementDigital engagement: level 9 of 10
- Initiative and innovationInitiative and innovation: level 7 of 10
- LearningLearning: level 8 of 10
- NumeracyNumeracy: level 9 of 10
- Oral communicationOral communication: level 5 of 10
- Planning and organisingPlanning and organising: level 6 of 10
- Problem solvingProblem solving: level 8 of 10
- ReadingReading: level 8 of 10
- TeamworkTeamwork: level 6 of 10
- WritingWriting: level 6 of 10
Illustrative — based on the ASC core competency scale · Levels run from 1 (basic) to 10 (highly complex) and describe how much of each ability the work calls for. They are not a judgement of any person.
Framework: Australian Skills Classification, Jobs and Skills Australia · What core competencies are
Before you decide
Demand is only one input
Time to get job-ready
A year or more
Usually a year or more of study and experience, often through a specific degree or graduate program.
Transferability
Narrow
Mostly useful in a small set of roles or one tool ecosystem.
Rising ads don’t mean you should learn this.
Next step