211 AI Engineering jobs in South Africa

We are seeking an experienced AI/ML Engineering Manager to lead a team of engineers and data scientists in developing, deploying, and scaling AI and machine learning solutions. The successful candidate will play a pivotal role in shaping our AI/ML strategy, ensuring solutions are aligned to business objectives, and building a high-performance, diverse, and inclusive team.

• Lead, mentor, and grow a team of AI/ML engineers and data scientists.

• Drive the design, development, deployment, and maintenance of AI/ML models and systems in production environments.

• Collaborate with business stakeholders to identify opportunities for AI-driven innovation and measurable value creation.

• Establish and implement best practices for ML model development, MLOps, and data engineering pipelines.

• Oversee technical architecture, data infrastructure, and cloud-based solutions to support scalable AI/ML delivery.

• Ensure governance, compliance, security, and ethical use of AI across projects.

• Foster a culture of continuous learning, experimentation, and knowledge sharing within the team.

• Work closely with senior leadership to define and deliver on the AI/ML roadmap.

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field (PhD advantageous).

• 8+ years experience in AI/ML engineering, data science, or related roles, with at least 3+ years in a leadership/management capacity.

• Proven track record of managing teams delivering production-grade AI/ML solutions at scale.

• Strong experience with cloud platforms (AWS, Azure, or GCP), MLOps, and data engineering practices.

• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• Solid understanding of modern software engineering practices (CI/CD, DevOps, APIs, microservices).

• Experience working in retail, e-commerce, or consumer-focused industries is advantageous.

• Strategic thinker with ability to align AI/ML solutions to business goals.

• Strong leadership and people management skills.

• Excellent communication and stakeholder engagement.

• Problem-solving mindset with ability to balance innovation and pragmatism.

• Commitment to diversity, equity, and inclusion in team-building and delivery.

AI Engineering Lead at Aios Medical — Remote, $80k-$20k/year inc equity. This role leads the AI strategy across ClinicOS and builds AI systems that transform healthcare delivery at software scale.

You'll work closely with the Head of Engineering, CEO, and the AI engineering team to ship production AI and define our long-term roadmap. This is a full-time, fully remote role.

• Core AI infrastructure: Build a model-agnostic AI platform that lets us switch between OpenAI, Anthropic, and open-source models seamlessly. Set up robust A/B testing to optimize performance and costs. Create intelligent routing that matches tasks to the right models. Implement comprehensive monitoring and ensure high reliability with proper fallbacks.
• AI-powered clinical care: Drive AI adoption across our clinical operating system. Automate manual processes, create AI assistants that improve clinician effectiveness, and measure impact with clear KPIs.
• AI-powered growth: Leverage AI to transform our conversion funnel, from personalized outreach to AI-driven sales agents. Source tools like AI video generation, voice synthesis, and behavioral prediction models and adapt them to our infrastructure. Aim for human-level conversion rates while reducing manual touchpoints.
• Data & experimentation: Be data-driven; study datasets to identify AI opportunities; build lightweight MVPs in days, run controlled tests with KPIs, scale winners, and let data drive decisions.

• Need to Have: 6+ years of highly relevant software engineering experience with a focus on AI and machine learning; strong experience building production applications powered by LLMs; prompt and context engineering, RAG systems, and evaluation frameworks; strong programming skills in TypeScript and/or Python; experience designing and building modern, customer-facing APIs; experience building user interfaces with React or similar frameworks; experience leading engineering team members.
• Nice to Have: Experience with AI/ML infrastructure including vector databases, embedding models, and orchestration frameworks; experience building evaluation and monitoring systems for LLM applications in production; experience with large-scale data pipelines and distributed systems; experience with AWS at enterprise scale; CS degree or equivalent; open source contributions.

• Compensation: 80k- 120k/year (cash + equity)
• Vacation: generous time-off with a yearly minimum
• Remote: fully distributed and remote-friendly
• Healthcare: comprehensive medical insurance
• Professional development: budget for books, courses, coaching ( 600/yr)
• Personal wellness: budget for gym, health apps ( 600/yr)
• Equipment: WFH gear provided as needed, e.g., Macbook (> 1000)
• Culture: opportunity to shape our early-stage culture

• Apply on Ashby or the platform you are in.
• Email lorena+ with: Resume, LinkedIn, GitHub

Recruiter note: this job description is still in progress; edits may occur, but core requirements will not change. Applications reviewed starting Sept 1 and interviews begin Sept 8. For questions, email lorena+

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Immediately, in-person in Cape Town

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

Join to apply for the Engineering Specialist – AI Trainer role at Invisible Expert Marketplace .

Are you an engineering expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline engineering design and analysis for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for engineering specialists who have expertise in mechanical engineering, civil engineering, electrical engineering, aerospace engineering, chemical engineering, software engineering, industrial engineering, systems engineering, structural engineering, or materials science. You’ll challenge advanced language models on topics like thermodynamics, fluid dynamics, structural integrity, control systems, robotics, circuit design, heat

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases

Join us on the journey….

Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.

Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.

Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.

Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.

Take the first step today and join us on the journey……….

Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.

SWATX Cape Town, Western Cape, South Africa

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

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