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153 AI Ml jobs in South Africa

Engineer: AI/ML

Cape Town, Western Cape Woolworths

Posted 13 days ago

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Job Description

Job category: FMCG, Retail, Wholesale and Supply Chain

Location: Cape Town

Contract: Permanent

Remuneration: Market Related

EE position: No

Introduction

The AI/ML Engineer will be responsible for operationalizing AI/ML models developed by the Data Science team, ensuring their seamless integration into production environments. This role focuses on deploying, monitoring, and maintaining AI/ML models, optimising system performance, and automating MLOps processes to enhance scalability and reliability.

Deploy and operationalize AI/ML models developed by the Data Science team into scalable production environments.
Develop and maintain robust machine learning pipelines to enable efficient model inference and data transformation.
Ensure seamless integration of AI/ML models with enterprise applications and data systems.
Implement MLOps best practices, including CI/CD for machine learning, model versioning, monitoring, and automated retraining.
Optimize AI/ML workflows for performance, cost efficiency, and resilience.
Collaborate with data engineers to ensure data pipelines support AI/ML model inference and training.
Leverage cloud-based AI/ML services (AWS SageMaker, Lambda, Glue, etc.) to streamline model deployment and automation.
Implement AI-driven monitoring and alerting mechanisms to detect model drift and performance degradation.
Work closely with business stakeholders to ensure AI/ML models are delivering expected value.
Ensure AI/ML solutions adhere to best practices for security, compliance, and governance.
Provide technical support and troubleshoot AI/ML model issues in production environments.
Bachelor’s degree in computer science, Engineering, or a related field with 4 - 5 years of experience in operationalising AI/ML models in production environments.
Strong understanding of AI/ML deployment strategies, including containerization, orchestration, and inference optimisation.
Experience with implementing MLOps principles, including CI/CD pipelines, automated model monitoring, and retraining.
Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Expertise in data engineering tools and frameworks such as Apache Spark, AWS Glue, and SQL.
Practical experience with AWS services, including SageMaker, Lambda, S3, IAM, and RDS.
Experience working with structured and unstructured data within enterprise environments.
Strong software development skills, with experience in version control systems such as Git.
Familiarity with containerisation and orchestration tools (Docker, Kubernetes) for AI/ML workloads.
Knowledge of cloud security, data governance, and compliance considerations.
Excellent verbal and written communication skills; must work well in an agile, collaborative team environment.

ADDITIONAL CRITERIA

Analytical Mindset: Strong problem-solving ability to optimise AI/ML deployment and system performance.
Collaboration and Communication: Ability to work closely with data scientists, data engineers, and business stakeholders to ensure seamless AI/ML integration.
Continuous Learning: Commitment to staying updated on the latest MLOps trends, tools, and automation techniques.
Innovative Thinking: Proactive in identifying and implementing AI-driven automation and model optimisation improvements.
Adaptability: Ability to manage multiple AI/ML model deployments and adapt strategies in a fast-paced environment.
Cultural Fit: Aligns with the organisation’s values, demonstrating integrity, accountability, and a strong work ethic.

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Engineer: ai/ml

Cape Town, Western Cape Woolworths

Posted today

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Job Description

permanent

Job category: FMCG, Retail, Wholesale and Supply Chain Location: Cape Town Contract: Permanent Remuneration: Market Related EE position: No Introduction The AI/ML Engineer will be responsible for operationalizing AI/ML models developed by the Data Science team, ensuring their seamless integration into production environments. This role focuses on deploying, monitoring, and maintaining AI/ML models, optimising system performance, and automating MLOps processes to enhance scalability and reliability. Deploy and operationalize AI/ML models developed by the Data Science team into scalable production environments. Develop and maintain robust machine learning pipelines to enable efficient model inference and data transformation. Ensure seamless integration of AI/ML models with enterprise applications and data systems. Implement MLOps best practices, including CI/CD for machine learning, model versioning, monitoring, and automated retraining. Optimize AI/ML workflows for performance, cost efficiency, and resilience. Collaborate with data engineers to ensure data pipelines support AI/ML model inference and training. Leverage cloud-based AI/ML services (AWS Sage Maker, Lambda, Glue, etc.) to streamline model deployment and automation. Implement AI-driven monitoring and alerting mechanisms to detect model drift and performance degradation. Work closely with business stakeholders to ensure AI/ML models are delivering expected value. Ensure AI/ML solutions adhere to best practices for security, compliance, and governance. Provide technical support and troubleshoot AI/ML model issues in production environments. Bachelor’s degree in computer science, Engineering, or a related field with 4 - 5 years of experience in operationalising AI/ML models in production environments. Strong understanding of AI/ML deployment strategies, including containerization, orchestration, and inference optimisation. Experience with implementing MLOps principles, including CI/CD pipelines, automated model monitoring, and retraining. Proficiency in Python, with experience in AI/ML frameworks such as Tensor Flow, Py Torch, or Scikit-learn. Expertise in data engineering tools and frameworks such as Apache Spark, AWS Glue, and SQL. Practical experience with AWS services, including Sage Maker, Lambda, S3, IAM, and RDS. Experience working with structured and unstructured data within enterprise environments. Strong software development skills, with experience in version control systems such as Git. Familiarity with containerisation and orchestration tools (Docker, Kubernetes) for AI/ML workloads. Knowledge of cloud security, data governance, and compliance considerations. Excellent verbal and written communication skills; must work well in an agile, collaborative team environment. ADDITIONAL CRITERIA Analytical Mindset: Strong problem-solving ability to optimise AI/ML deployment and system performance. Collaboration and Communication: Ability to work closely with data scientists, data engineers, and business stakeholders to ensure seamless AI/ML integration. Continuous Learning: Commitment to staying updated on the latest MLOps trends, tools, and automation techniques. Innovative Thinking: Proactive in identifying and implementing AI-driven automation and model optimisation improvements. Adaptability: Ability to manage multiple AI/ML model deployments and adapt strategies in a fast-paced environment. Cultural Fit: Aligns with the organisation’s values, demonstrating integrity, accountability, and a strong work ethic. #J-18808-Ljbffr

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Engineer: ai/ml

Cape Town, Western Cape Woolworths

Posted today

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Job Description

permanent

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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Western Cape, Western Cape Canonical

Posted 13 days ago

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Job Description

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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical Cape Town, Western Cape, South Africa

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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical Cape Town, Western Cape, South Africa

2 months ago Be among the first 25 applicants

Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
Master distributed systems concepts such as observability, identity, tracing
Work with both Kubernetes and machine-oriented open source applications
Collaborate proactively with a distributed team of engineers, designers and product managers
Debug issues and interact in public with upstream and Ubuntu communities
Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

Professional or academic software delivery using Python
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Hands-on experience with machine learning libraries, or tools.
Proven track record of building highly automated machine learning solutions for the cloud.
Experience with container technologies (Docker, LXD, Kubernetes, etc.)
Experience with public clouds (AWS, Azure, Google Cloud)
Working knowledge of cloud computing
Passionate about software quality and testing
Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

Seniority level Entry level

Employment type

Employment type Full-time

Job function

Job function Engineering and Information Technology
Industries Software Development

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Senior ML / AI Engineer

Gauteng, Gauteng Goldman Tech Resourcing

Posted today

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Job Description

workfromhome

Send an email about this job to a friend or to yourself.

A company dedicated to helping businesses deliver exceptional customer experiences while ensuring compliance and enhancing performance is seeking a Senior ML / AI Engineer . The role offers a fully remote working model.

Skills Required

Bachelor's Degree in a Science or Engineering discipline
Minimum of 5 years of experience in machine learning and generative AI feature development, with expertise in NLP.
Experience developing and deploying NLP models for text and token classification, sentence similarity, anomaly detection, and text generation.
An understanding of transformer-based architectures and experience with the Hugging Face ecosystem and AI/ML frameworks (e.g., TensorFlow, PyTorch)
Strong understanding of MLOps practices, including experiment tracking, model versioning, and cloud-based deployments (AWS preferred)

Should you not hear from us within 3 days, please consider your application unsuccessful.

3 people have applied for this job. 123 people have viewed this job.

Goldman Tech Resourcing, TA Stand-Out Staffing, is one of South Africa’s most agile recruitment companies that focus on placing professionals and skilled people in contract and permanent employment.

Our mission is to be the most respected Recruitment Company within the IT, Finance and Mining Sectors by:

Providing our clients with any number of quality candidates with the right technical skills and experience for a particular position.
Providing the candidates we choose to work with a number of attractive career opportunities in a short space of time.
Focusing on niche segments of market and knowing these segments intimately.

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Senior ML / AI Engineer

Cape Town, Western Cape Voyc AI

Posted 13 days ago

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Job Description

Voyc AI Cape Town, Western Cape, South Africa

2 days ago Be among the first 25 applicants

This range is provided by Voyc AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

ZAR780,000.00/yr - ZAR1,000,000.00/yr

At Voyc, we're building solutions to help financial services companies better understand and manage their customer interactions. As we continue to grow, we're looking for a talented Machine Learning Engineer to join our team and develop features that empower our customers to make informed decisions.

In this role, you'll work on impactful projects that shape the future of our platform and deliver actionable, data-driven insights. You'll be part of a team that pushes the boundaries by integrating natural language processing (NLP) and large language models (LLMs) to refine and expand our machine learning systems.

The ideal candidate will bring expertise in machine learning, programming, and automation in real-world applications. This is a unique opportunity to work on cutting-edge technologies, optimise text-based machine learning models, and contribute to a high-impact, fast-growing SaaS platform.

The Role

As an ML & AI Engineer, you will leverage advanced artificial intelligence, machine learning, and data science techniques to support autonomous data-driven decision-making processes and deliver personalised customer experiences across our platform.

You will design, develop, and deploy a range of AI and ML products and features, using LLMs and other analytical and predictive AI solutions. You'll collaborate with Product, Engineering, and Data Science teams to enhance the platform's AI capabilities, improve model performance, and build scalable machine learning solutions.

Key Responsibilities

ML & NLP Model Development

Develop, enhance, and deploy NLP models for classification, insights extraction, prioritisation, and recommendation systems
Design and implement ML algorithms for structured and unstructured data to improve decision-making, accuracy, and automation
Ensure compliance with legal and ethical standards in AI and data handling practices

Generative AI & Prompt Engineering

Expand the functionality and reliability of our LLM and interactive AI assistant through advanced prompt engineering techniques
Integrate Retrieval-Augmented Generation (RAG), and semantic search and full text search databases to optimise data extraction from large datasets

MLOps & Infrastructure

Architect, implement, and manage scalable containerised environments and CI/CD pipelines for ML model deployment
Monitor and track model performance, optimisation, inference latency, and scalability

Collaboration & Innovation

Collaborate closely with Product, Data Science, and Engineering teams to define AI requirements and deliver effective solutions
Continuously evaluate emerging AI/LLM technologies and prototype innovative NLP solutions to enhance product capabilities

Requirements

Must-Haves

Bachelor Degree in a Science or Engineering discipline
At least 5 years of experience in machine learning and generative AI feature development, with expertise in NLP
Experience developing and deploying NLP models for text and token classification, sentence similarity, anomaly detection, and text generation
An understanding of transformer-based architectures and experience with the HuggingFace ecosystem and AI/ML frameworks (e.g., TensorFlow, PyTorch)
Strong understanding of MLOps practices, including experiment tracking, model versioning, and cloud-based deployments (AWS preferred)
Ability to develop innovative and scalable ML/AI solutions that are business-ready

Bonus Points (Advantageous but not required)

Demonstrated ability to implement ML workflows at scale, particularly using LLMs, in a SaaS or enterprise environment
Experience in handling, analysing, and extracting insights from large and complex datasets, particularly noisy text data
Previous experience tuning open source and proprietary large language models
Prior experience mentoring or leading junior ML engineers

Benefits

In addition to gaining valuable experience and expanding your skills while building trust in financial services, working at Voyc offers:

Remuneration: R780 000 to R1million per year, depending on experience
Option to participate in our share options program
A supportive, growth-oriented team culture that aligns with your personal goals
Flexible working hours
Innovative leave policies
Company-sponsored lunches, travel, and learning opportunities, including an annual offsite event in Cape Town and Travel to the Netherlands
An inclusive and representative workplace

More Perks here

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Industries IT Services and IT Consulting

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Software Engineer ML/AI

Centurion, Gauteng E&D Recruiters

Posted 22 days ago

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Job Description

Electronic Engineer (Software, AI & ML)

Centurion

Qualification

B.Eng. degree (electronic or computer).
Software design and implementation experience.
Experience in product development.
Software system engineering experience.
Specialist knowledge :
- Object orientated programming experience (C++)Â
- Embedded systems software development.
- Experience in image processing.
- Machine learning algorithms development.

Duties & Responsibilities

Provide Software Engineering for system and subsystem software.
Generation of relevant firmware, software and hardware documentationÂ
Systems integration and testing with other engineering disciplines.
Mentoring of junior electronic and software engineers.
Providing firmware, software, and hardware support and training.
Interfacing with the production facility.
Engineering project planning and management.
Generation of specification and other related documentation.

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Senior ML / AI Engineer

Western Cape, Western Cape Goldman Tech Resourcing

Posted today

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Job Description

A company dedicated to helping businesses deliver exceptional customer experiences while ensuring compliance and enhancing performance is seeking a Senior ML / AI Engineer. The role offers a fully remote working model. Skills Required · Bachelor's Degree in a Science or Engineering discipline · Minimum of 5 years of experience in machine learning and generative AI feature development, with expertise in NLP. · Experience developing and deploying NLP models for text and token classification, sentence similarity, anomaly detection, and text generation. · An understanding of transformer-based architectures and experience with the Hugging Face ecosystem and AI/ML frameworks (e.g., TensorFlow, PyTorch) · Strong understanding of MLOps practices, including experiment tracking, model versioning, and cloud-based deployments (AWS preferred) Should you meet the requirements for this position, please email your CV to . You can also contact us on XXX-XXX or alternatively you can visit our website Should you not hear from us within 3 days, please consider your application unsuccessful.

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Senior ML / AI Engineer

Gauteng, Gauteng MSP Staffing LTD

Posted today

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Job Description

We are seeking a skilled Senior Machine Learning / AI Engineer to design, develop, and deploy advanced ML and NLP solutions, including large language models (LLMs), generative AI, and scalable ML pipelines. Key Requirements Bachelors degree in science or engineering 5 years experience in machine learning, generative AI, and NLP Hands-on experience with NLP models for classification, anomaly detection, sentence similarity, and generation Strong knowledge of transformer-based architectures, HuggingFace ecosystem, and ML frameworks such as TensorFlow or PyTorch Practical experience with MLOps practices (model versioning, experiment tracking, cloud deploymentsAWS preferred) Ability to build business-ready, scalable ML/AI solutions Excellent communication and collaboration skills Should you meet the requirements for this position, please email your CV to You can also contact the IT team on XXX-XXX or visit our website at . NOTE: When replying to the advert, include the reference number in the subject line. Correspondence will only be conducted with short-listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.

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Senior ML / AI Engineer

MSP Staffing LTD

Posted today

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153 AI Ml jobs in South Africa

Engineer: AI/ML

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Engineer: ai/ml

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Engineer: ai/ml

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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

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Senior ML / AI Engineer

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Senior ML / AI Engineer

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Software Engineer ML/AI

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Senior ML / AI Engineer

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