Machine Learning Jobs
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Search Results - Machine Learning Jobs
Network Contracting-Johannesburg
Our clients are investing in AI-driven platforms and intelligent automation. We are building a pipeline of Machine Learning Engineers for upcoming opportunities across enterprise organisations.
If you're passionate about deploying production-ready...
Spatialedge-South Africa
At Spatialedge.ai we deliver value to our customers with solutions that simplify complex decisioning using data, ML and AI. As a Machine Learning Engineer (MLE), you will work within cross-functional squads to deliver scalable, production-ready...
Ikue Limited-Cape Town
Responsibilities Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
Integrate machine learning outputs into real-time and batch...
Recruit Assist-Durban
and specification.Ability to confidently present findings to senior business stakeholders.Desired Experience & QualificationRelevant IT Degree / DiplomaStrong background in statistics, machine learning and deep learningAbility to handle, interpret and analyze data...
The Legends Agency-Johannesburg
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...
MECS Africa-Johannesburg
This is an exciting opportunity for a data-driven professional who enjoys combining machine learning, statistical modelling, data engineering and storytelling to solve real-world business challenges.
You will work with large and complex datasets...
Ikue Limited-Centurion
success.
Responsibilities
• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs...
3 similar jobs: Stellenbosch, Randburg, Durban
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Hire Resolve-Centurion
insights from large and complex data sets
Collaborate with cross-functional teams to design, develop, and deploy machine learning models and data products
Translate complex business problems into analytical frameworks and provide actionable insights...
Spatialedge-Soweto
At Spatialedge.ai we deliver value to our customers with solutions that simplify complex decisioning using data, ML and AI. As a Machine Learning Engineer (MLE), you will work within cross-functional squads to deliver scalable, production-ready...
SavageOne Pty Ltd-Johannesburg
of data science and drive meaningful outcomes.Key ResponsibilitiesClean, preprocess, and analyze large datasets from various sources to extract actionable insights and identify patterns.Develop and implement machine learning models and algorithms to solve...
Travelbyinvestec-Vereeniging (GP)
Description of the team The Insights Engine is Investec's enterprise Machine Learning (ML) platform, providing the software capabilities that enable teams across the bank to build, deploy and operate machine learning applications at scale...
Network Contracting-Midrand
and telecommunications.
If you're passionate about solving business problems using data, we'd like to connect with you.
Key Responsibilities:
• Build predictive and statistical models
• Analyse large structured and unstructured datasets
• Develop machine learning...
Network Recruitment-Johannesburg
Key Responsibilities:
• Assist in developing and deploying AI and machine learning solutions.
• Build and maintain AI-powered applications using Python and modern AI frameworks.
• Develop, test, and optimise prompts for Large Language Models (LLMs...
wePlace-Cape Town
Quantitative Analyst - Machine Learning Data Science
Were looking for a Quantitative Analyst - Machine Learning Data Science to independently validate highâimpact models across credit risk, financial crime, and advanced analytics use cases...
The Hiring House-Johannesburg
What Youll Drive
• Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection
• Translate business challenges into analytical frameworks...
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