310 Senior Data Scientists jobs in Gauteng
Machine learning engineer
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We are looking for a talented Machine Learning Engineer to join our team, responsible for developing and deploying machine learning models and algorithms that drive business growth and innovation. The successful candidate will have a strong background in machine learning, deep learning, and software engineering, with a proven track record of delivering high-quality machine learning models and algorithms. The Machine Learning Engineer will work closely with cross-functional teams, including data science, product, and engineering, to identify opportunities for machine learning-driven innovation and develop strategic plans to execute on these opportunities.
Responsibilities:- Design, develop, and deploy machine learning models and algorithms that drive business growth and innovation
- Collaborate with data scientists to develop and implement machine learning models and algorithms
- Work with software engineers to integrate machine learning models and algorithms into production-ready software applications
- Develop and maintain large-scale machine learning systems, including data pipelines, model training, and model serving
- Optimize machine learning models and algorithms for performance, scalability, and reliability
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI, applying this knowledge to drive innovation and improvement in machine learning models and algorithms
- Collaborate with product managers to develop product roadmaps and prioritize features and requirements
- Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
- Communicate complex machine learning concepts and results to non-technical stakeholders, including business leaders and product managers
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in machine learning, deep learning, or software engineering, with a focus on machine learning model development and deployment
- Strong background in machine learning, deep learning, and software engineering, with expertise in areas such as natural language processing, computer vision, or recommender systems
- Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, or Scikit-learn
- Strong programming skills in languages such as Python, Java, or C++
- Experience with cloud-based technologies, such as AWS or Google Cloud
- Strong understanding of software engineering principles, including design patterns, testing, and version control
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Technical Skills:
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
- Deep learning frameworks: Keras, TensorFlow, PyTorch, etc.
- Cloud-based technologies: AWS, Google Cloud, Azure, etc.
Full time
Johannesburg
#J-18808-LjbffrAI Machine Learning
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Join to apply for the AI Machine Learning role at Blue Pearl
Join to apply for the AI Machine Learning role at Blue Pearl
Job Description
Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.
Job Description
Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.
Responsibilities
- Model Development:
- Design, develop, and train machine learning models.
- Implement AI algorithms and frameworks.
- Conduct exploratory data analysis to inform model development.
- Model Deployment and Integration:
- Deploy machine learning models into production environments.
- Integrate models with existing systems and data pipelines.
- Ensure seamless operation of deployed models.
- Data Preparation and Feature Engineering:
- Prepare and clean data for model training and evaluation.
- Perform feature engineering to enhance model performance.
- Implement data preprocessing and transformation pipelines.
- Model Evaluation and Tuning:
- Evaluate model performance using appropriate metrics.
- Tune hyperparameters and optimize model accuracy.
- Conduct A/B testing and validation of models.
- Collaboration and Stakeholder Engagement:
- Work with data scientists, engineers, and business stakeholders to understand requirements.
- Translate business problems into technical solutions.
- Communicate findings and model performance to non-technical stakeholders.
- Research and Innovation:
- Stay updated with the latest advancements in AI and ML.
- Experiment with new algorithms and techniques.
- Propose innovative solutions to business problems.
- Documentation and Reporting:
- Document model development processes and methodologies.
- Create user guides and technical documentation.
- Report on model performance and project progress.
- Machine Learning Models:
- Trained and validated ML models.
- Model deployment scripts and integration guidelines.
- Documentation of model architecture and training processes.
- Data Pipelines:
- Data preprocessing and transformation pipelines.
- Feature engineering scripts.
- Documentation of data preparation steps.
- Performance Reports:
- Model performance metrics and evaluation reports.
- Hyperparameter tuning and optimization logs.
- A/B testing and validation results.
- Technical Documentation:
- User guides for deployed models.
- Technical documentation for model development and deployment.
- Maintenance and monitoring procedures.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree (e.g., Master's or PhD) preferred.
Proven experience in developing and deploying machine learning models in a commercial or academic environment.
Proficiency in programming languages such as Python, R, or Java.
Strong understanding of statistical methods and data analysis techniques.
Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.
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- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrMachine learning engineer
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Ai machine learning
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Machine Learning AI Data Scientist
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- Build, fine-tune, and deploy Large Language Models (LLMs) across domains.
- Develop and implement chatbots, transcription systems, and RAG pipelines .
- Design and optimise end-to-end ML lifecycles , from data preprocessing to production deployment.
- Leverage vector databases (Pinecone, FAISS, Weaviate, Milvus) for retrieval-augmented generation.
- Drive innovation by applying GenAI, NLP, and advanced ML techniques to real-world business problems.
- Education: Degree in Computer Science, Data Science, AI/ML, or related field (postgrad a bonus).
- Experience: Hands-on with LLMs, transformer architectures, and NLP frameworks .
- Technical Skills: Python, PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex, OpenAI & Anthropic APIs, Docker, Kubernetes, AWS/Azure/GCP ML platforms, MLOps pipelines.
- Other: Strong track record in AI model training, deployment, and optimisation . Bonus if youve presented papers or talks in AI/ML conferences.
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Senior Data Scientist - Machine Learning
Posted 16 days ago
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About the Role:
Youll work across the full data science lifecyclefrom understanding business needs and refining problem statements to data preparation, model development, testing, deployment, and performance monitoring. Your work will support data-led strategies, operational efficiency, and intelligent decision-making through automation and advanced analytics.
Key Responsibilities:
- Develop and deploy predictive modelling and machine learning solutions.
- Collaborate with stakeholders to define business challenges and identify analytical opportunities.
- Conduct data cleaning, transformation, feature engineering, and rigorous hypothesis testing.
- Work with engineering teams to build data pipelines and access large-scale structured and unstructured data.
- Translate data science solutions into practical business applications.
- Create impactful visualisations and reports to communicate insights to both technical and non-technical stakeholders.
- Monitor and refine models to ensure performance and business relevance over time.
Requirements:
- Minimum:
- Honours, Masters, or PhD in a quantitative discipline (e.g. Actuarial Science, Mathematics, Computer Science, Engineering, and Statistics).
- 56 years of hands-on experience in data science and analytics roles.
- Strong Python and SQL proficiency, including libraries such as NumPy, Pandas, SciPy, and Matplotlib.
- Experience working with Jupyter Notebooks and in Agile development environments.
- Proven ability to operationalise machine learning models at scale.
- Preferred:
- Familiarity with cloud platforms (e.g. Azure and AWS), Spark, and big data tools.
- Professional certifications in data science and analytics technologies.
- Experience with data visualisation tools such as Power BI, Tableau, or Kibana.
- Key Competencies:
- Advanced analytical and problem-solving skills.
- Strong communication skills, with the ability to explain technical concepts to diverse audiences.
- Business acumen and the ability to align data solutions with strategic objectives.
- Initiative, adaptability, and a strong sense of accountability.
- Ability to work independently as well as collaboratively within cross-functional teams.
Ready to use data to make an impact?
Join a dynamic, forward-thinking environment where your expertise will directly contribute to innovation and strategic growth. Apply now and be part of the data-driven future.
Note: This position is open to candidates with strong technical capabilities and a proven track record in solving real-world problems with data.
AI / Machine Learning Engineer
Posted 14 days ago
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IT Branch Manager (C# | Java | Python | Angular | React | Mobile) at Network Recruitment |Are you a tech visionary ready to shape the future of AI in financial services?
A leading, innovation-driven consulting firm with specialisation with financial institutions (yes, the one known for its awesome culture ) is on the hunt for a seasoned AI Specialist with 4+ years of experience . The company is based in Johannesburg.
What you'll be doing:
You’ll play a key role in building and deploying cutting-edge AI and machine learning solutions that have a direct impact on real-world business outcomes. Think smarter systems, faster decision-making, and tech that actually makes a difference.
What we're looking for:
Strong expertise in Python or Java
Hands-on experience with AI and ML models
Proven ability to take AI solutions from concept to production
A curious mind with a passion for turning data into action
Strong working experience with AWS
What's in it for you?
- Competitive salary with bi-annual performance bonuses
- Hybrid work option (3 days in office)
- Flexible work options and a supportive team culture
- Great coffee, need I say more
Apply now or send me an email to
#AIJobs #MachineLearning #TechJobs #JohannesburgJobs #PythonJobs #JavaJobs #ArtificialIntelligence #NowHiring
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology, Consulting, and Finance
- Industries Financial Services, Banking, and IT Services and IT Consulting
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Machine Learning Developer / Engineer
Posted 12 days ago
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WatersEdge Solutions is seeking a skilled Machine Learning Developer / Engineer to support a fast-growing healthcare-focused team in a fully remote role. This is an exciting opportunity for a technically curious and solutions-oriented professional looking to apply machine learning in a meaningful, real-world setting.
About the Role
In this role, you'll be instrumental in developing and implementing machine learning models from the ground up. Working USA business hours (EST), you'll collaborate with a cross-functional team to solve complex problems, build insightful dashboards, and apply innovative algorithms that drive decisions in a healthcare context.
Key Responsibilities
Build and implement machine learning models using Random Forest, Gradient Boosting, AutoML, and other techniques
Conduct in-depth data analysis and feature engineering to improve model accuracy
Validate and clean data for model readiness
Present insights and recommendations clearly to stakeholders
Collaborate with teams to embed models into existing systems and workflows
Design and develop dashboards using Python libraries such as Dash, Streamlit, Panel, and Bokeh
Deliver ongoing reports on model effectiveness and business value
Apply ML methodologies to healthcare-specific use cases
What You’ll Bring
1–2 years’ experience building and deploying machine learning models
Strong problem-solving and programming skills
Proficiency in Python, especially for data analysis and dashboard creation
Knowledge of ML algorithms like Random Forest, Gradient Boosting, and AutoML
Ability to articulate model development processes, feature engineering, and methodologies
Background in data science or engineering; healthcare experience is advantageous
Nice to Have
Experience with actuarial analysis
Performance in Kaggle competitions
What’s On Offer
Fully remote opportunity for South African professionals
USA working hours: 15h00 – 24h00 SAST (subject to daylight saving adjustments)
Opportunity to work on impactful healthcare challenges with modern ML tools
Role requires a fibre internet connection (min 25 Mbps upload/download) and a backup power solution (UPS or solar)
Company Culture
WatersEdge Solutions is a trusted recruitment partner connecting innovative professionals with forward-thinking global companies. We pride ourselves on a supportive, tech-savvy work culture that values collaboration, clarity, and continuous improvement.
If you have not been contacted within 10 working days, please consider your application unsuccessful.
Ai / machine learning engineer
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Ai / machine learning engineer
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