Fresh remote Machine Learning Engineer jobs in Africa

Explore latest remote Machine Learning Engineer opportunities from leading companies hiring in Africa.

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Fresh remote Machine Learning Engineer jobs in Africa (6)

Applied Research Engineer – Training Infra

about 9 hours ago
Full-time
Africa, Worldwide
$150,000 to $180,000 per year
Key requirements: GPU cluster management, Kubernetes, Distributed compute orchestration, ML experiment tracking, Python proficiency, Fault tolerance implementation, Post-training workflows
Snorkel AI

Snorkel AI is a Redwood, California-based B2B SaaS provider specializing in data-centric AI solutions for enterprises in the AI and machine learning sectors.

Remote policy: Snorkel AI supports a hybrid work environment, allowing employees to work both remotely and on-site, with hiring from various locations including the San Francisco Bay Area and beyond.

Machine Learning Engineer (Contractor)

5 days ago
Contract
Africa, Worldwide
Key requirements: 5 years of experience, Python, PyTorch, TensorFlow, JAX, MLOps, AWS, GCP, Azure, Spark, Dask, Natural language processing, Computer vision, Recommendation systems, Transformer architectures, Large language models, Distributed systems
Tech Holding

Tech Holding is a Los Angeles-based B2B consulting firm specializing in professional services and managed solutions for cloud transformation and technology integration across various industries.

Remote policy: Tech Holding supports remote work opportunities and hires from various regions globally, allowing flexibility for team members to work from different locations.

AI/ML Engineer

11 days ago
Full-time
Africa, Worldwide
Key requirements: AI and ML techniques, Data modeling, ML lifecycle, Exploratory Data Analysis (EDA), Big Data technologies, SQL, ETL development
EUROPEAN DYNAMICS

European Dynamics is a Greece-based B2G SaaS provider specializing in ICT services and software development for e-government, operating internationally across 47 countries.

AI Engineer - APIs & Automation (Remote)

15 days ago
Full-time
Africa, Worldwide
Key requirements: 3 years of experience, AI model integration, API integration (REST, GraphQL), Automation platforms (Zapier, Make, n8n), Python or JavaScript proficiency, Cloud environments (AWS, GCP, Azure), Problem-solving and system design skills
HireHawk

HireHawk is a global B2B recruitment platform headquartered in the Philippines, specializing in sourcing and managing remote contractors for U.S.-based companies across various industries.

Remote policy: HireHawk supports fully remote work and hires globally, with a focus on candidates in various regions such as the Philippines, while requiring alignment with U.S. business hours (PST).

Senior Machine Learning Engineer

17 days ago
Full-time
Africa, Worldwide
$120,000 to $160,000 per year
Key requirements: Python, PyTorch, Diffusion models, LLMs, Multimodal architectures, Fine-tuning (LoRA, PEFT), Optimizing inference workloads, Model evaluation, Debugging performance issues, Systems thinking
Runware

Runware is a developer-focused AI infrastructure platform providing a B2B SaaS API for generative media, headquartered remotely, serving the global market.

Remote policy: Runware is a remote-first company, allowing employees to work from anywhere we can employ them, with core collaboration hours and twice-yearly in-person meetings. We support flexible working hours to help you perform at your best.

Senior AI Engineer (Document Extraction)

26 days ago
Full-time
Africa, Worldwide
Key requirements: Document extraction systems, Evaluation frameworks, Data cleansing capabilities, Production-grade systems, End-to-end AI feature ownership, Collaboration with cross-functional teams, Improved experimentation practices
hyperexponential

Hyperexponential is a London-based insurtech B2B SaaS provider specializing in AI-driven pricing and underwriting solutions for the global commercial property-casualty insurance market.

Remote policy: Hyperexponential supports remote work and is hiring from various regions, including the US and Europe, with team members collaborating across time zones.