167 Ml Engineer jobs in South Africa

Location: Cape Town, SA / Remote
Employment Type: Full-time
Salary: Competitive + Share Options
Reporting To: Lead Data Scientist

Clairo AI is a London-based AI agent platform focused on fully private AI. Our platform enables businesses to deploy AI agents that connect to their internal data sources while ensuring complete privacy—without relying on external APIs.

We operate on our own bare-metal infrastructure and have developed a Kubernetes platform to deploy our AI models, microservices, and enterprise applications in a scalable manner. Our AI stack is designed to solve complex business challenges across data search, automation, and AI-powered decision-making .

Following a successful funding round, we are expanding our engineering and data science teams , hiring four to five new team members .

At Clairo AI, we embed Responsible AI into everything we do:

• Privacy: We prioritise data security and client confidentiality.
• Sustainability: Our Icelandic data centre enables us to run AI infrastructure with net-zero emissions.
• Trust: We ensure AI reliability through trust metrics, citations, and better prompting.
• Education: We actively educate businesses on how to use AI effectively and responsibly.

Join us in redefining AI for business—private, secure, and high-performance .

We are looking for a Data Scientist / ML Engineer to enhance the agentic capabilities of Clairo AI. This role involves building out Clairo’s AI agent framework.

You will work under the Lead Data Scientist, who is spearheading our AI vision. Your primary responsibility will be building, experimenting, and testing AI agent components to determine their effectiveness in various applications. These components will be deployed within Clairo’s Kubernetes stack for both customer solutions and Clairo’s SaaS platform.

If you are passionate about building AI-powered agentic systems, experimenting with cutting-edge agent SDKs, and deploying scalable AI models, this role will provide deep technical challenges and real-world impact.

• Develop and optimise AI agentic components within Clairo’s AI platform.
• Generate hypotheses, experiment, and test new AI techniques to evaluate their effectiveness in real-world applications.
• Contribute to and maintain the Agent code framework . Be a gatekeeper for code quality and design philosophy .
• Deploy AI models and components into Clairo’s Kubernetes stack , ensuring scalability and reliability .
• Work closely with the data science and engineering teams to drive innovation in Clairo’s AI agent framework.
• Contribute to MLOps best practices , ensuring efficient AI model lifecycle management .
  
  

• Strong grasp of general software engineering skills : version control, code orchestration, design patterns, Linux terminals, virtualisation technologies (Docker & K8s).
• Familiarity with Natural Language Processing (NLP) concepts: tokens, vectorisation, embeddings, semantic vs. syntactic meanings.
• Familiarity with LangChain or other agent SDKs/frameworks.
• Understanding of AI agent architectures and how to build modular AI systems .
• Strong problem-solving skills and ability to work in an experimental, research-driven environment .
• Strong grasp of traditional machine learning model paradigms and concepts (Supervised vs. Unsupervised, Tree models, optimisation, etc.).
• Understanding of retrieval-augmented generation (RAG) , vector databases , and knowledge retrieval systems .

• Experience with Hugging Face and fine-tuning LLMs .
• Experience with Crew AI (big plus).
• Ability to deploy AI models into Kubernetes-based infrastructure .
• Experience with Knowledge Graphs .
• Background in multi-agent AI architectures .
• Familiarity with private AI infrastructure and security best practices .
  
  

• Competitive salary with share options.
• Opportunity to relocate to the UK – After one year, Clairo AI will discuss visa sponsorship for candidates who wish to move to the UK.
• Unlimited leave – Take time off whenever you need it.
• Hybrid and flexible working – Work when and where you want, as long as the work gets done.
• Client project opportunities – Work directly with UK businesses, designing AI agents to solve complex challenges.
• Networking with top UK entrepreneurs – Clairo AI is closely connected to leading business figures, providing strong career-building opportunities.
• Cape Town team culture fund – Sponsored beer money for social gatherings with the Cape Town-based team.
• Future office space in Innovation City, Cape Town – A growing tech hub set to become Africa’s equivalent of Silicon Valley .

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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.

Voyc AI Cape Town, Western Cape, South Africa

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.

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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

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