Lead ML Engineer - Predictive Analytics & MLOps Leader

Placements24; Centurion; On-site; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid annual leave

Professional development and training

On-site parking

Job summary

Placements24 is seeking a Lead Machine Learning Engineer in Centurion to drive predictive analytics. You will design, develop, and deploy ML models, lead a team of engineers, and guide technical strategy while ensuring scalable, reliable ML pipelines.

You will mentor engineers, collaborate with data scientists and product stakeholders, and help translate research into production-ready systems in an office-based role.

Qualifications

• Master's or PhD in Computer Science, Statistics, or related quantitative field.
• Proven experience as a Machine Learning Engineer focused on predictive modeling.
• Expertise in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Deep understanding of statistical modeling and ML algorithms.
• Experience with MLOps tools (Docker, Kubernetes, CI/CD for ML).
• Experience leading technical teams and mentoring engineers.
• Strong problem-solving and collaboration skills; cloud familiarity (AWS/Azure/GCP) is a plus.

Responsibilities

• Lead the design, development, and deployment of ML models for predictive analytics.
• Oversee the ML lifecycle from data prep to deployment.
• Mentor ML engineers and provide technical leadership.
• Collaborate with data scientists to productionize research models.
• Implement and maintain MLOps practices for scalable pipelines.
• Optimize model performance and production infrastructure.
• Contribute to the ML roadmap and strategy.

Skills

Python

Scikit-learn

TensorFlow

PyTorch

MLOps

Docker

Kubernetes

CI/CD for ML

Cloud platforms

Education

Master's degree in Computer Science or Statistics

PhD in a related quantitative field

Tools

CI/CD tooling

AWS/Azure/GCP

Job description

Placements24 is seeking a Lead Machine Learning Engineer in Centurion to drive predictive analytics. You will design, develop, and deploy ML models, lead a team of engineers, and guide technical strategy while ensuring scalable, reliable ML pipelines.

You will mentor engineers, collaborate with data scientists and product stakeholders, and help translate research into production-ready systems in an office-based role.