South Africa
Open 3 months, first seen by us 107 days agoAnalyze, build, evaluate, and productionise machine learning models
Work with a firehose of customer data
Participate in developing new models and improving existing ones
Brainstorm new ideas and concepts to solve specific use cases
Work with teammates on design and code reviews
Analyze, build, evaluate, and productionise machine learning models.
Work with a firehose of customer data.
participate in the development of new ones.
Brainstorm new ideas and concepts to solve specific use cases.
Work with teammates on design and code reviews.
5 to 10+ years of experience applying machine learning to real-world problems OR
Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).
Strong understanding of statistical analysis, modeling, and machine learning techniques.
Experience with Python
Experience with deploying machine learning to production environments.
Bonus Skills and Experience: - MSc (master of science) or PhD (doctorate). - Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
Open 3 monthsWe first saw this posting 107 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 107
Up longer than most. Similar jobs usually come down between day 7 and day 71.
Well past Takealot.com’s usual: its jobs come down by about day 38.
From 4,682 similar postings that came down, and 7 of Takealot.com’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience working within an agile team that is operationally hands-on and an advocate of that culture. - Experience with Python - Experience with Linux
- Help when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere. - Tech stack (for days): Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come. - Free parking: No more 5km fun runs to your desk (unless you want to).
- MSc (master of science) or PhD (doctorate). - Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS). - Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or GCP VertexAI/Gemini Enterprise Agent Platform Pipelines.
- Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or GCP VertexAI/Gemini Enterprise Agent Platform Pipelines. - Experience with serving machine learning models, such as TensorFlow Serving, KServe, or managed serving solutions such as AWS Sagemaker Endpoints and GCP VertexAI/ Gemini Enterprise Agent Platform Endpoints. - Experience designing and executing large-scale LLM prompt pipelines for automated tasks such as classification and data extraction.
- Experience with Linux - Experience with BigQuery. - Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas.
- Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS). - Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or GCP VertexAI/Gemini Enterprise Agent Platform Pipelines. - Experience with serving machine learning models, such as TensorFlow Serving, KServe, or managed serving solutions such as AWS Sagemaker Endpoints and GCP VertexAI/ Gemini Enterprise Agent Platform Endpoints.
- Experience with BigQuery. - Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas. - Experience building scalable data processing pipelines for machine learning workflows.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Mr D, a division of the Takealot Group, is looking for a highly talented Senior Machine Learning Engineer to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!
Think you’ve been challenged before? Think again!
This position reports to the Machine Learning Engineering Manager.
As a Machine Learning Engineer, your expertise directly translates into the development of robust machine learning models in the e-commerce domain. You come from a development background with an emphasis on applied machine learning. You will have the opportunity to implement best practices to improve the existing machine learning models and participate in the development of new ones.
This is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on Mr D’s ambitious development roadmap.
Your responsibilities will include:
The skills and attributes we need:
Qualifications & Preferred Experience:
Bonus Skills and Experience:
Let’s talk about life @ Takealot Group
Like what you see?
If you meet the above, you are an Extraordinary Mind. Apply today!!
Mr D is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
South Africa
- No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great. - Remote working: Love water cooler chats and working from home? Takealot.com offers a remote or hybrid working model for the best of both worlds. - Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
No clear work-authorization passage found. Eligibility is unconfirmed.