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