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Machine Learning Engineer jobs in United Arab Emirates

Machine Learning Engineer - Emirati national

Black Pearl Consult

Abu Dhabi
On-site
AED 200,000 - 250,000
2 days ago
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Machine Learning Engineer

TASC Outsourcing

Dubai
On-site
AED 200,000 - 300,000
6 days ago
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Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector

Apt Resources

Abu Dhabi
On-site
AED 200,000 - 300,000
4 days ago
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ML Engineer & Data Analyst: Python, TensorFlow/PyTorch UAE

Dicetek LLC

Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Senior Machine Learning Engineer

DISCOVERED

Abu Dhabi
On-site
AED 120,000 - 200,000
14 days ago
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Machine Learning Engineer - Emirati national

Black Pearl Consult

Abu Dhabi
On-site
AED 200,000 - 300,000
12 days ago

Data Engineer

Prevail

United Arab Emirates
Hybrid
AED 150,000 - 200,000
Yesterday
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AWS Data Engineer

NorthBay, LLC

Dubai
Remote
AED 293,000 - 441,000
Yesterday
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Senior AWS Data Engineer / Data Platform Engineer

NorthBay, LLC

Dubai
On-site
AED 120,000 - 160,000
Yesterday
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Drilling & Completions Data Analyst — Real-Time Insights

Baker Hughes

Abu Dhabi
On-site
AED 120,000 - 200,000
Yesterday
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Drilling and Completions Data Analyst

Baker Hughes

Abu Dhabi
On-site
AED 120,000 - 200,000
Yesterday
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Data Analyst: Dashboards & Insightful Analytics (Dubai)

Latinum HR Solutions

Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Data Analyst | Latinum HR Solutions | Dubai, UAE

Latinum HR Solutions

Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Data Analyst

Swoop Recruitment

Dubai
On-site
AED 120,000 - 200,000
Yesterday
Be an early applicant

HR Transactions Specialist: Master Data & SuccessFactors

GMG

Dubai
On-site
AED 120,000 - 160,000
Yesterday
Be an early applicant

Lead Data Analyst | Innovations Global | Dubai, UAE

Innovations Global

Dubai
On-site
AED 120,000 - 200,000
Yesterday
Be an early applicant

Senior Data Scientist - Fashion Ecommerce Growth

Ounass

United Arab Emirates
On-site
AED 120,000 - 160,000
Yesterday
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Sr.Data Scientist

Ounass

United Arab Emirates
On-site
AED 120,000 - 160,000
Yesterday
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Data Scientist: Qlik Sense Dashboards & Analytics

NAFFCO

Dubai
On-site
AED 200,000 - 300,000
Yesterday
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Data Scientist

NAFFCO

Dubai
On-site
AED 200,000 - 300,000
Yesterday
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Senior GIS Specialist: Data, Portals & Mapping in KSA

Eram Talent

Dubai
On-site
AED 120,000 - 200,000
Yesterday
Be an early applicant

Product Analytics Data Scientist – DeFi Dashboards

1inch

Dubai
Hybrid
AED 293,000 - 368,000
Yesterday
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Data Scientist

1inch

Dubai
Hybrid
AED 293,000 - 368,000
Yesterday
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Data Analyst

Metropolitan Premium Properties

Abu Dhabi
On-site
AED 120,000 - 200,000
2 days ago
Be an early applicant

Data Analyst

MultiBank Group

Dubai
On-site
AED 165,000 - 221,000
2 days ago
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Machine Learning Engineer
Black Pearl Consult
Abu Dhabi
On-site
AED 200,000 - 250,000
Full time
2 days ago
Be an early applicant

Job summary

A leading consulting firm in the UAE is seeking a seasoned Machine Learning Engineer to lead the development and optimization of AI models. This role involves collaboration across various teams to manage the full lifecycle of models, ensuring they are efficient and effective. Ideal candidates will have at least 5 years of experience in machine learning and a strong background in NLP and large language models, along with a Master’s or Ph.D. in a related field. This position offers an exciting opportunity to champion responsible AI practices.

Qualifications

  • Minimum 5 years of industry experience in machine learning, AI, or data science.
  • Strong background in large language models, NLP, or generative AI frameworks.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch).

Responsibilities

  • Develop, train, fine-tune, and deploy machine learning solutions for enterprise use cases.
  • Collaborate with data engineers and product owners to shape data pipelines and ML workflows.
  • Optimize models for efficiency, accuracy, and real-time performance.
  • Conduct rigorous experimentation and evaluation based on metrics and business needs.
  • Champion responsible AI practices including fairness, transparency, and security.

Skills

Machine learning solutions
Large language models (LLMs)
Python
TensorFlow
PyTorch
Data Science

Education

Master’s or Ph.D. in Computer Science, AI, Data Science
Job description
Machine Learning Engineer - Emirati national

Full time | Black Pearl Consult | United Arab Emirates

Posted On 01/18/2026

Job Information

Technology

Number of Positions 1

City Abu Dhabi

51133

Job Description

We are looking for a seasoned Machine Learning Engineer to lead the development and optimization of advanced models that power real-world AI applications. You will be responsible for model lifecycle management from research to production deployment, working closely with product, engineering, and research teams.

Key Responsibilities

  • Develop, train, fine-tune, and deploy machine learning solutions (LLMs, predictive models) for enterprise use cases.
  • Collaborate with data engineers and product owners to shape data pipelines and ML workflows.
  • Optimize models for efficiency, accuracy, and real-time performance.
  • Conduct rigorous experimentation and evaluation, iterating based on metrics and business needs.
  • Champion responsible AI practices including fairness, transparency, and security.
Requirements

To be considered for this role, you need to meet the following criteria:

  • Minimum 5 years of industry experience in machine learning, AI, or data science.
  • Strong background in large language models, NLP, or generative AI frameworks.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch).
  • A Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field is highly desirable.

To view other clients we have, please check our website - www.blackpearlconsult.com

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* 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.

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