Asia-Pacific extended its dominance for machine learning hiring among offshore industry companies in the three months ending October.
The number of roles in Asia-Pacific made up 37.5% of total machine learning jobs – up from 30.3% in the same quarter last year.
That was followed by South & Central America, which saw a 3.1 year-on-year percentage point change in machine learning roles.
The figures are compiled by GlobalData, who track the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.
GlobalData's thematic approach to sector activity seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.
These key themes, which include machine learning, are chosen to cover "any issue that keeps a CEO awake at night".
By tracking them across job advertisements it allows us to see which companies are leading the way on specific issues and which are dragging their heels – and importantly where the market is expanding and contracting.
Which countries are seeing the most growth for machine learning roles in the offshore industry?
The fastest growing country was India, which saw 21.7% of all machine learning job adverts in the three months ending October last year, increasing to 36.6% in the three months ending October this year.
That was followed by Canada (up 3.4 percentage points), Brazil (up 3.1), and Italy (up two).
The top country for machine learning roles in the offshore industry is India which saw 36.6% of all roles in the three months ending October.
Which cities are the biggest hubs for machine learning workers in the offshore industry?
Some eight per cent of all offshore industry machine learning roles were advertised in Houston (United States) in the three months ending October – more than any other city.
That was followed by Chennai (India) with 8%, Bengaluru (India) with 3.7%, and Mumbai (India) with 3.1%.
