Machine Learning Engineer Salary In South Africa: Explore Salaries
Machine learning (ML) is a revolutionary force changing how computers learn and make decisions. ML is a subset of artificial intelligence (AI) that allows machines to acquire knowledge from data and develop their capabilities over time. Machine learning empowers systems, similarly to how humans learn from experience, by enabling systems to recognise patterns, anticipate outcomes, and adapt to changing circumstances.
Machine learning engineers create, develop, and implement machine learning models and systems. They play a pivotal role in making this revolution possible.
In this article, we will learn more about the Machine Learning Engineer Salary in South Africa, the average base pay of top companies, and the skills required to become a machine learning engineer.
Machine Learning Engineers Salary in South Africa
Machine learning engineers are accountable for performing various tasks, such as deploying models and reprocessing data. These professionals employ comparable technologies, have specific certifications, and are responsible for managing vast volumes of data.
Machine learning engineers collaborate with Artificial Intelligence teams to create and manage AI systems and predictive models and extract meaningful information from large data sets.
Machine learning engineers’ salaries can vary greatly depending on several factors, such as their level of education, industry, location, experience, skill, and task complexity. However, they typically receive competitive pay packages. According to PayScale, Machine Learning Engineer Salary in South Africa ranges between R14k and R813k, or an average of R454k per year.
Average Machine Learning Engineers Salary in South Africa
The average Machine Learning Engineer salary in South Africa varies based on experience and many other factors. According to Glassdoor, here is the average salary for a Machine Learning Engineer in South Africa on the level of experience:
| Average Machine Learning Engineer (ML) Salary in South Africa | |
| Entry-Level ML Engineer’s Salary | ZAR300,000 to ZAR450,000 per year |
| Mid-Level ML Engineer’s Salary | ZARR450,000 to ZAR700,000 per year |
| Senior-Level ML Engineer’s Salary | ZAR700,000 to ZAR1,200,000 per year |
These figures are a general overview, which can vary widely based on specific job requirements and individual qualifications.
Per Month Machine Learning Engineers Salary in South Africa
The demand for machine learning engineers is rising globally, including in South Africa. These professionals play a crucial role in developing algorithms and models that enable machines to learn from and make data-based decisions.
According to the Glassdoor, here is a breakdown of the average monthly earnings:
| Per Month Machine Learning Engineer (ML) Salary in South Africa | |
| Entry-Level ML Engineer’s Salary | ZAR25,000 to ZAR37,500 per year |
| Mid-LevelML Engineer’s Engineer Salary | ZAR37,500 to ZAR58,333 per year |
| Senior-Level ML Engineer’s Engineer Salary | ZAR58,333 to ZAR100,000+ per month |
Highest-paying cities in South Africa for Machine Learning Engineers
The domain of machine learning is rapidly growing, and the demand for skilled machine learning engineers is rising along with the field of machine learning. Depending on the city where they are employed, these professionals’ salaries in South Africa can differ considerably. According to Glassdoor, the top cities in South Africa with the highest salaries for machine learning engineers are:
| Cities In South Africa’s | Average Salary |
| Johannesburg, Gauteng | R1,047,012 per year |
| Constantia, Western Cape | R1,288,499 per year |
| Durban, Gauteng | R1,006,109 per year |
| Cape Town, Western Cape | R983,688 per year |
| Pretoria, Gauteng | R674,869 per year |
Top Companies Salary for the Machine Learning Engineers’ Roles
The demand for machine learning engineers in South Africa is on the rise. Moreover, numerous companies offer highly competitive salaries to attract and retain top talent. According to Glassdoor and Indeed, here are the salary ranges offered by some of the leading companies in South Africa:
| Company Name | Average Base Salary |
| Cape AI | ZAR 34T -ZAR 40T per month |
| ByteFuse | ZAR 27T -ZAR 32T per month |
| Spatialedge | ZAR 35T -ZAR 51T per month |
| Inrange Golf | ZAR 33T -ZAR 39T per month |
| Enlabeler | ZAR 51T -ZAR 60T per month |
| Vodacom Group | ZAR 10L -ZAR 12L per month |
| Nimble Group | ZAR 28T -ZAR 32T per month |
| Platform45 | ZAR 56T -ZAR 65T per month |
| takealot.com | ZAR 89T -ZAR 1L per month |
Top Countries Paying High Salary for Machine Learning Engineers Roles
Machine learning engineers are in high demand globally, and salaries for these professionals can vary significantly by country. According to Glassdoor and Indeed, here are the top countries where machine learning engineers can expect to receive the highest salaries:
| Country | Average Base Pay |
| India (₹) | ₹6.0L – ₹17.0L per year |
| Canada (CA $) | CA$80K – CA$1L per year |
| Germany (€) | €56T – €72T per year |
| Australia (A$) | A$91K – A$140K per year |
| Singapore (SGD) | SGD5K – SGD8K per month |
| Switzerland (CHF) | CHF92T – CHF1L per year |
| South Africa (ZAR) | ZAR33T – ZAR54T per month |
| United States ($) | $97T – $ 1L per year |
| United Kingdom (£) | £43T – £78T per year |
How to Become a Machine Learning Engineer?
Machine learning is a rapidly growing domain with a high demand for skilled professionals. One effective way to enter this field is through the Digital Regenesys Artificial Intelligence Course. This comprehensive course is designed to provide students with the necessary skills and knowledge to become successful machine learning engineers.
The Digital Regenesys Artificial Intelligence Course curriculum includes mathematics, statistics, and programming courses, which are crucial for understanding the basics of machine learning. The Digital Regenesys Artificial Intelligence Course emphasises practical learning and approaches to address challenges by working on real-world projects.
Enrol in the Digital Regenesys Artificial Intelligence Course and gain career prospects through Capstone projects, live sessions, and hands-on projects.
Skills Required to Become a Machine Learning Engineer
Becoming a machine learning engineer requires the following skills and qualifications:
- Data science skills,
- Software engineering skills,
- Knowledge of computer architecture,
- Experience working with ML frameworks,
- Strong analytical, problem-solving, communication and teamwork skills,
- An understanding of data structures, data modelling and software architecture,
- Advanced math and statistics skills in linear algebra, calculus and Bayesian statistics,
- Experience with coding and programming languages, including Python, Java, C++, C, R and JavaScript.
Developing these skills and staying current with technological advancements could help prospective machine learning engineers prosper in their careers. Individuals with the necessary training and experience can make a lasting impression as statisticians.
Enrol in Digital Regenesys’ Artificial Intelligence Course to acquire the skills and certification programmes required to thrive in your professional field and become a successful Machine Learning Engineer.
FAQs on Machine Learning Engineer Salary In South Africa
Is machine learning a highly paid-career?
Yes. Machine learning professionals are generally well-paid and have high earning potential.
Is coding required in machine learning professions?
Yes, coding is a fundamental requirement in machine learning. Machine learning engineers use coding to design, execute, and optimise machine learning algorithms.
What are the most commonly used programming languages in the machine learning domain?
Python programming language and libraries like sci-kit-learn, TensorFlow, and PyTorch are commonly used programming languages.
Do both Machine learning engineers and data scientists have the same profile?
No, Machine learning engineers and data scientists work with data and machine learning, but their primary roles and responsibilities differ.
What is the difference between an AI and an ML engineer?
AI and ML engineers share similarities but have distinct focuses. However, AI engineers work on a broader spectrum of AI technologies, including robotics, natural language processing, and computer vision. Meanwhile, ML engineers specialise in building and deploying machine learning models.
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