AI/ML Engineers by Countries in 2023
The top ten countries for machine learning engineers in 2022, along with their average salaries, were reported as follows:
- United States: The U.S. is home to many companies that specialize in machine learning, artificial intelligence, robotics, and other advanced technologies. The average salary for ML engineers in 2022 was US$145,000 per annum.
- China: China is known for its innovation with cutting-edge technologies, and it offers a yearly average salary of CN¥450,000 for ML engineers.
- Japan: Japan is gaining popularity in the field of machine learning and is known for its international conferences, educational institutes, and non-profit organizations that offer opportunities for ML engineers. The average salary in Japan is ¥6,404,246 per annum.
- South Korea: South Korea is recognized for its advancements in robotics and other technologies such as IoT, artificial intelligence, and machine learning. The average salary for ML engineers is ₩62,692,165 per annum.
- India: With sufficient budget allocation from the Government of India, the country encourages startups and other MNCs to leverage machine learning and artificial intelligence. The average salary for ML engineers is Rs.11 lakhs per annum.
- Germany: Germany has top-level research institutes that provide ample opportunities for ML engineers and prioritizes cutting-edge technologies. The average salary in Germany is 75,000 € per annum.
- Canada: Canada is committed to the responsible use of machine learning and is eager to hire professionals specialized in this field. The average salary of ML Engineers in Canada is $85,000 per annum.
- Sweden: Sweden pays an average salary of around 460,000 KR per annum to ML engineers and offers good salary packages and a plethora of opportunities.
- United Kingdom: The UK is working on establishing the best educational institutions for ML engineering. The average salary of ML Engineers in the UK is £50,000 per annum.
- Spain: Spain offers an average salary of 55,000 € per annum to ML engineers and provides ample work opportunities and institutes for learning and growth.