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Machine Learning Jobs in Gauteng

1 - 15 of 93
1 - 15 of 93
Search Results - Machine Learning Jobs in Gauteng
Ikue Limited-Pretoria
success.ResponsibilitiesDesign and construct Ikue's AI Studio in collaboration with Product owners and Data ScientistsDesign and build machine learning pipelines (model build, evaluation, deploy, monitoring)Integrate machine learning outputs into real-time and batch data...
Network Recruitment-Johannesburg
Key Duties & Responsibilities  •  Design, build, and deploy AI/ML models, including multimodal systems  •  Develop and integrate AI functionality into production systems using Python  •  Design and optimise MongoDB schemas for scalability and...
Mindrift-Pretoria
Freelance Machine Learning Engineer (Python) Project‑based, part‑time, fully remote freelance role. Candidates must be located in South Africa and have advanced (C1) English proficiency. What We Do Mindrift connects specialists with AI projects from...
OfferZen-Pretoria
Machine Learning Engineer Are you a talented Machine Learning Engineer looking for your next role? OfferZen, the developer jobs marketplace, reverses the job search process. We connect data and ML professionals with a vast network of top tech...
2 similar jobs: Johannesburg, Cape Town
Mindrift-Johannesburg
Freelance Machine Learning Engineer (Python) Project‑based, part‑time, fully remote freelance role. Candidates must be located in South Africa and have advanced (C1) English proficiency. What We Do Mindrift connects specialists with AI projects from...
Imizizi-Menlyn
ROLE & RESPONSIBILITIES:  •  Research, design and implement deep learning and machine learning models to meet business needs.  •  Understand stakeholder requirements and translate them into ML solutions.  •  Write Python code and contribute to reusable...
Data Centrix-Johannesburg
and common AI/ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel).  •  Hands-on experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, and Azure AI Foundry.  •  Experience building LLM-based solutions...
wePlace-Johannesburg
This is a Lead Machine Learning and Data Science Analyst to independently validate high‑impact models across credit risk, financial crime, and advanced analytics use cases. This is a hands‑on technical role. What You'll Be Doing  •  Leading...
Datonomy Solutions-Soshanguve
Senior Data Scientist - Graph Analytics, AI and Financial Crime Role purpose To design, develop, deploy and optimise advanced analytics, machine-learning and graph-based solutions that generate actionable insight from complex, interconnected...
People Source-Johannesburg
Must be comfortable explaining big data science concepts to clients. The company offers solutions using software development, virtual reality, simulation science, machine learning, AI, and business intelligence. Apply analytics and technology...
Datonomy Solutions-Carletonville
Senior Data Scientist - Graph Analytics, AI and Financial Crime Role purpose To design, develop, deploy and optimise advanced analytics, machine-learning and graph-based solutions that generate actionable insight from complex, interconnected...
Imizizi-Menlyn
and modelling use cases  •  Develop, train, evaluate, and iterate on machine learning and AI models  •  Apply appropriate model evaluation techniques and define success metrics  •  Support operational data workflows and resolve day-to-day data processing issues when...
Ithemba Recruitment- Sourcing Top Talent-Johannesburg
About the job Senior Engineer: AI & Machine LearningDuties and responsibilities:Design, develop, maintain and support projects using a variety of Big Data technologies.Ascertain requirements by interfacing with our internal clientsIdentify and...
Network Recruitment-Johannesburg
Key Responsibilities: What Youll Do:  •  Explore and prepare structured & unstructured financial data  •  Support machine learning model development and anomaly detection  •  Build reports and dashboards (Power BI) to share insights  •  Collaborate...
Boardroom Appointments-Johannesburg
or other cloud platformKnowledge of current principles and frameworks for ML OpsExperience with ML Ops technologies such as ML Flow, DVC, Grafana, DataHub, DatabricksExperience with machine learning technologies such as PyTorch, TensorFlow, AWS...
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