Johannesburg: Machine Learning Engineer

February 6, 2026 Jobs in Central Johannesburg

Job Description

Machine Learning Engineer Build and deploy scalable machine learning solutions in a cloud-native environment Johannesburg (Hybrid) | R60 000 R70 000 per month About Our Client Our client is a data-focused organisation developing advanced machine learning solutions at scale using Microsoft Azure. They work on complex, real-world problems where models must be production-ready, reliable, and aligned with business needs. The team combines strong engineering standards with applied data science, offering an environment where Machine Learning Engineers can have real ownership and impact. The Role: Machine Learning Engineer As a Machine Learning Engineer, you will design, build, and deploy machine learning models and pipelines into production. You will work closely with Data Scientists and MLOps Support Engineers to ensure models are scalable, maintainable, and well-documented. Key Responsibilities Design and implement end-to-end machine learning pipelines Translate models from research and notebooks into production-ready code Collaborate with Data Scientists to productionise models Work closely with MLOps Support Engineers to support deployment and monitoring Build and maintain scalable data and ML pipelines Ensure models meet performance, reliability, and business requirements Provide clear documentation and handover for deployed solutions About You 3 years of experience in machine learning engineering or data engineering Strong Python skills, especially in ML frameworks and pipeline development Experience deploying ML models into production environments Proficiency in cloud platforms, preferably Microsoft Azure Solid understanding of data pipelines, version control, and testing practices Collaborative mindset with the ability to work across teams Strong problem-solving and documentation skills

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About IT / Computing / Software Jobs in Gauteng

In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.

Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.

Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.

The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.

For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.

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This information provides general career guidance. Actual salaries and requirements vary by employer.

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