ML / AI Jobs in United Arab Emirates
There are 58 open ML / AI jobs in United Arab Emirates on freehire right now. 9 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 79%
- ai 78%
- python 48%
- cloud 45%
- mlops 38%
- generative-ai 36%
- llm 36%
- pytorch 36%
How the work is done
- Hybrid 3 · 5%
- Onsite 3 · 5%
- Remote 1 · 2%
Visa sponsorship offered in 100% of the 4 postings that state a position on it.
Seniority
- Senior 13
- Lead 11
- Staff 3
- Intern 1
Who is hiring
- 1000+ employees 6
- 51-200 employees 2
Machine Learning Scientist—Debt Recovery Optimizer
Build ML models that optimize debt recovery workflows by predicting risk and response signals, then deploy and govern them in production.
Azure AI Architect & Lead ML Engineer
Design and deploy scalable Azure AI solutions, including ML models, LLMs, and NLP/CV components, while mentoring teams and optimizing performance and cost.
Business Analyst / Product Owner (Data & AI/ML)
Owns AI/ML product features like personalization and fraud detection, bridging business needs with engineering via backlog and specs.
Product Owner, Data & AI/ML - Hybrid & Impactful
Own the AI/ML product backlog, gather requirements from stakeholders, and translate them into specs to deliver features like personalization and recommendation systems.
Machine Learning Engineer - Large Language Models
Build and optimize large language models for healthcare applications using fine-tuning, RAG pipelines, and production deployment in a collaborative AI team.
Global AI/ML Conference: Deep Learning & Reinforcement
Attend a global AI conference in Dubai focused on deep learning, reinforcement learning, and machine learning research presentations and networking.
Production ML Engineer: Build & Deploy Real‑World AI
Build and deploy production-grade ML systems, focusing on MLOps, model pipelines, and integrating AI features into live platforms.
Senior AI Data Labelling & ML Engineer
Design and build automated data-labelling pipelines using Active Learning, Weak Supervision, and Synthetic Data to reduce manual annotation and feed ML models.
Machine Learning Engineer
Build and deploy cutting-edge AI models, including LLMs, by collaborating with researchers to pre-train, fine-tune, and evaluate large-scale machine learning systems.
Healthcare AI/ML Engineer — MLOps & Platform
Build and deploy production-grade AI/ML and GenAI models for healthcare, integrating with EHR/PACS systems and ensuring secure, scalable MLOps/LLMOps operations.
NLP & Deep Learning Engineer – GenAI for FinTech
Build AI-driven features and scalable data solutions using deep learning and NLP to enhance customer interactions in a fintech environment.
AI/ML Engineer
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Freelance- AI/ML Security Specialist
Lead adversarial security testing for AI/ML systems, including LLMs and generative AI, identifying vulnerabilities like prompt injection and data leakage, and delivering remediation guidance.
AI/ML Security Red Team Lead
Lead adversarial security testing for AI/ML systems, identifying vulnerabilities in LLMs and pipelines and providing remediation guidance.
Forward-Deployed AI/ML Engineer
Designs and builds AI-native, cloud-based enterprise apps using LLMs, RAG, vector DBs, and agentic workflows for SAP customers in Dubai.
AI/ML Engineer
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Machine Learning Engineer
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.