Is on LinkedIn?
đ July 7
Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
đ Anywhere in the World
đ° $30M Series B - Sumsub on 2022-12
â° Full Time
đ Senior
đ€ Machine Learning Engineer
Airflow
Java
PyTorch
Job not on LinkedIn
đ June 5
Job not on LinkedIn
11 - 50
đ„ Healthcare
âïž Healthcare Insurance
đ Social Impact
AI / ML Engineer responsible for developing systems that tackle risk and fraud. Work involves deploying agentic AI and ensuring secure, performant architectures at Tiko.
đ Portugal, South Africa, +1 more countries â Remote
đ” âŹ3k - âŹ5k / month
â° Full Time
đĄ Mid-level
đ Senior
đ€ Machine Learning Engineer
Python
SQL
Job not on LinkedIn
đ April 24
Job not on LinkedIn
Lead ML Engineer developing neural networks for lane and route networking at May Mobility. Focus on architecture, design, and validation for autonomous technology solutions.
đ Anywhere in the World
đ” $210k - $245k / year
â° Full Time
đ Senior
đ€ Machine Learning Engineer
Linux
Python
PyTorch
Tensorflow
Job not on LinkedIn
đ April 1
Job not on LinkedIn
Senior Machine Learning and Java Engineer developing AI systems that analyze real-time data streams for DataEQ. Join a collaborative team and work with Java, machine learning, and data analytics.
Java
Job not on LinkedIn
đ April 1
Job not on LinkedIn
Machine Learning Engineer at Ikue developing AI solutions for telecommunications. Collaborate on machine learning pipelines and ensure reliability in data integration.
đżđŠ South Africa â Remote
đ° Seed Round on 2022-11
â° Full Time
đĄ Mid-level
đ Senior
đ€ Machine Learning Engineer
AWS
Cloud
Python
Spark
SQL
Job not on LinkedIn
đ March 7
Job not on LinkedIn
Senior ML Engineer developing ML-driven features and scalable systems for Chess.com. Driving innovation in Generative AI and providing technical mentorship in a fully remote environment.
đ Anywhere in the World
đ° Private Equity Round on 2022-01
â° Full Time
đ Senior
đ€ Machine Learning Engineer
Job not on LinkedIn
đ January 22
Job not on LinkedIn
ML Engineer focused on training optimization, scaling and improving large-scale model training systems. Collaborating with researchers on model architecture and capability advancement.
Distributed Systems
Node.js
PyTorch
Job not on LinkedIn
đ January 22
Job not on LinkedIn
Machine Learning Engineer managing and scaling multilingual data pipelines for diverse languages. Collaborating closely with researchers and engineers for robust model performance across cultural contexts.
Python
Ray
Spark
Job not on LinkedIn
đ January 22
Job not on LinkedIn
Machine Learning Engineer optimizing model inference performance at scale, bridging research and production for fast, reliable ML systems.
Cloud
Distributed Systems
PyTorch
Job not on LinkedIn
đ January 22
Job not on LinkedIn
Machine Learning Engineer specializing in model distillation to create smaller, faster models for production. Engage in cutting-edge research and practical applications in a remote team.
PyTorch
Job not on LinkedIn
đ October 2, 2025
Job not on LinkedIn
Staff Machine Learning Engineer developing scalable ML algorithms for a tech marketplace. Collaborating with teams and mentoring junior engineers in AI-driven projects.
AWS
Azure
Cloud
Google Cloud Platform
Python
PyTorch
Scikit-Learn
Tensorflow
The average salary for remote ml engineers in South Africa is ZARÂ 2,740,050 per year. This is based on data from 25 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
đĄ Mid-level Machine Learning Engineer (2-4 yrs) | 13 | ZAR 2,775,000 |
đ Senior Machine Learning Engineer (5-9 yrs) | 10 | ZARÂ 3,242,625 |
đŽ Lead Machine Learning Engineer (10+ yrs) | 2 | ZAR 0 |
We analyzed 15 job listings in the last year and found it takes about 58 days for employers to close a job opening.
We reviewed 25 job postings and found the top 10 skills employers are asking for most often are:
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
