Machine Learning Engineer Salary in Singapore, Singapore
Singapore, Singapore 🇸🇬
Data Verified & Maintained by WikiCounsellor Editorial Board
Fact-Checked for Q2 2026 Compliance | Last Updated: May 2026
Avg. Annual Base
SGD 112,000/yr
YoY Growth
+16%
Cost of Living
High
Job Demand
Very High
Gross Annual Salary
Mid-Level (3-5 yrs)
SGD 112,000
Est. Tax (15%)
Progressive rates, max 22% for high earners
-SGD 16,800
Net Take-Home Pay
Savings & Financial Progress
As a mid-level Machine Learning Engineer in 🇸🇬 Singapore, you can expect approximately SGD 95,200 take-home annually (SGD 7,933/month). After covering rent (SGD 2,800), utilities, groceries, and transport, you'll have roughly SGD 4,533 monthly for savings and discretionary spending. This provides excellent financial flexibility for investments and lifestyle goals.
See how far your salary goes in Singapore compared to other global cities.
What is the average Machine Learning Engineer salary in Singapore?
The average Machine Learning Engineer salary in Singapore, Singapore is approximately SGD 112,000 per year for mid-level professionals. Entry-level positions start around SGD 84,000, while senior professionals can earn up to SGD 156,800 or more. These figures reflect the Singapore job market as of 2026.
How much tax will I pay as a Machine Learning Engineer in Singapore?
In Singapore, Singapore, the effective tax rate for a Machine Learning Engineer is approximately 15%. Progressive rates, max 22% for high earners. On a mid-level salary of SGD 112,000, you can expect to pay around SGD 16,800 in taxes annually, leaving you with approximately SGD 95,200 in net take-home pay.
Is Singapore a good city for Machine Learning Engineers?
Singapore is an excellent city for Machine Learning Engineers. The demand level is currently very high, with an expected industry growth rate of +16% year-over-year. Top employers hiring Machine Learning Engineers in Singapore include Google, Meta, Grab, and more. The cost of living index is 105 (100 = US average), making it relatively expensive compared to other global tech hubs.
What skills do I need to become a Machine Learning Engineer?
To succeed as a Machine Learning Engineer, you should master the following core skills: Python, TensorFlow, PyTorch, MLOps, Statistics. Additionally, certifications such as AWS ML Specialty or Google ML Engineer can significantly boost your employability and salary potential. In Singapore's competitive market, continuous learning and staying updated with industry trends is essential.
Can I live comfortably on a Machine Learning Engineer salary in Singapore?
Yes, a Machine Learning Engineer earning SGD 112,000 in Singapore can live comfortably. After taxes (SGD 16,800), your monthly take-home pay would be approximately SGD 7,933. With average monthly expenses of SGD 3,400 (rent, utilities, groceries, transport), you would have approximately SGD 4,533 in disposable income each month for savings, entertainment, and other expenses.
The Machine Learning Engineer market in Singapore is experiencing significant expansion. With a year-over-year growth rate of +16%, professionals entering this field can expect abundant job opportunities and competitive salary negotiations. Key factors driving demand include digital transformation initiatives, increased data-driven decision making, and the ongoing adoption of Python, TensorFlow, PyTorch technologies across enterprises in the Singapore market.
WikiCounsellor's salary intelligence is compiled through a multi-source aggregation methodology. We analyze data from job postings across major platforms, anonymized salary submissions from verified professionals, government labor statistics from Singapore, and industry compensation surveys. Our editorial team reviews and validates all data points quarterly, with the current dataset reflecting Q2 2026 market conditions. Cost of living indices are calibrated against local consumer price data, including housing markets in Singapore's major employment zones.
The salary progression for Machine Learning Engineer professionals in Singapore shows a clear advancement trajectory. Entry-level positions (0-2 years) typically start at SGD 84,000, while mid-level professionals (3-5 years) command SGD 112,000. Senior specialists with 6+ years of experience can expect SGD 156,800, representing a 87% increase from entry-level compensation. Career advancement typically requires mastery of AWS ML Specialty and Google ML Engineer, combined with demonstrable project leadership experience.
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