As of November 10, 2026, of the 220 live postings: Builds AI ●●●●: 82 (37%); Works on AI ●●●○: 52 (24%); Uses AI ●●○○: 12 (5%); Little AI ●○○○: 74 (34%). See what each level means.
Machine learning jobs in Singapore: 220 open roles
Updated Nov 10, 2026
Live postings that name machine learning in the job title or description, located in Singapore, Singapore. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 220
- Build or work on AI (AI Level 3–4)
- 134
- remote
- 25
Singapore - Technology Centre1mo
Singapore4mo
databricks
SG - Singapore3w
databricksdbtspark+1
Singapore - Technology Centre1mo
pythonsql
Singapore, Singapore1mo
databrickssplunkcribl+1
SGP-Singapore-1 Raffles Quay2mo
pythonjavaaws+1
Singapore3mo
pythoncmachine-learning
Singapore - St James Power Station Headquarters3w
pythonimage-recognition
SG, Singapore2mo
awsec2
Singapore, Central Singapore, SingaporeRemote1mo
opsrampmorpheus-enterprisezerto
AI level of Machine learning jobs in Singapore
- ●●●● Builds AI82 (37%)
- ●●●○ Works on AI52 (24%)
- ●●○○ Uses AI12 (5%)
- ●○○○ Little AI74 (34%)
Companies hiring for Machine learning in Singapore
Machine learning jobs in other cities
Roles that ask for it
Common questions
How much AI work do Machine learning jobs in Singapore involve?
Which companies are hiring for Machine learning jobs in Singapore?
Which other cities have Machine learning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: San Francisco (851), New York (701), London (573), Seattle (545), Bengaluru (498).
Which skills come up most in Machine learning jobs in Singapore?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (131), AWS (70), LLM (66), Generative AI (60), SQL (53).
Which roles are open in Machine learning jobs in Singapore?
As of November 10, 2026, by number of live postings: Data scientist (31), Software engineer (20), Sales (11), Machine learning engineer (10), Solutions architect (9).
A posting counts when it names Machine learning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.