Machine Learning Engineer jobs in United Arab Emirates
Senior Machine Learning Software Engineer
Prime Consulting and Advisory
Machine Learning Engineer – Generative AI (LLMs / RAG / Agentic AI)
Stellar Technologies
Data Engineer
Deeplight
Lakehouse Data Engineer for AI & ML Pipelines
Deeplight
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Emirates Airlines - Other locations
Senior Data Scientist
Emirates Airlines - Other locations
HR Data Analyst | Automotive
Robinson & Co (Singapore) Pte Ltd
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Manpower Group Middle East
Supply Chain Data Analyst
Manpower Group Middle East
Senior Data Scientist — Generative AI & MLOps
Property Finder
Senior Machine Learning Scientist – Generative AI Expert
Property Finder
Power BI Construction Data Analyst – Dubai (Flights & Medical)
NSR Associates
Construction Data Analyst (Power BI)
NSR Associates
Senior Data Scientist
Property Finder
Fleet Operations & Data Analyst
Al-Futtaim
Procurement & Logistics - Data Analyst
Emirates Airlines - Other locations
Procurement & Logistics Data Analyst — Actionable Dashboards
Emirates Airlines - Other locations
Machine Learning Engineer
Job summary
An innovative tech company in Sharjah is looking for a skilled Machine Learning Engineer to design and deploy ML models. The successful candidate will work closely with data scientists and engineers, analyzing data and optimizing models for real-time deployment. A strong background in Python and machine learning algorithms is required, along with experience in cloud platforms. Competitive compensation offered.
Qualifications
- Proven experience with deep learning and NLP.
- Experience with tools for MLOps practices.
Responsibilities
- Design and implement machine learning algorithms and models.
- Preprocess and analyze large datasets.
- Collaborate with cross-functional teams.
- Train and evaluate model performance.
- Optimize models for real-time deployment.
Skills
Education
Tools
We are looking for a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing and deploying machine learning models and data‑driven solutions that improve business outcomes. You will work closely with data scientists, software engineers and product teams to turn data into actionable intelligence.
- Design and implement machine learning algorithms and models for various applications.
- Preprocess, clean and analyze large datasets from diverse sources.
- Collaborate with cross‑functional teams to define project requirements and success metrics.
- Train, test and evaluate model performance using industry‑standard metrics.
- Optimize models for scalability and real‑time deployment.
- Deploy models into production using tools such as Docker, Kubernetes or cloud services (AWS, Azure, GCP).
- Monitor and maintain deployed models for accuracy and performance.
- Document code, models and processes for future reference.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field.
- Proven experience with Python and libraries such as TensorFlow, PyTorch, Scikit‑learn, etc.
- Strong understanding of machine learning algorithms, data structures and software engineering principles.
- Experience with SQL and NoSQL databases.
- Familiarity with cloud platforms and MLOps practices.
- Excellent problem‑solving and analytical skills.
- Strong communication and teamwork abilities.
- Ph.D. in a related field.
- Experience in deep learning, NLP, computer vision or recommendation systems.
- Experience with tools such as MLflow, Airflow or Kubeflow.
- Contributions to open‑source ML projects or published research papers.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.