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Machine Learning Engineer jobs in United Arab Emirates

Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector

Apt Resources

Abu Dhabi
On-site
AED 200,000 - 300,000
Yesterday
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Machine Learning Engineer – Generative AI (LLMs / RAG / Agentic AI)

Stellar Technologies

Abu Dhabi
On-site
AED 200,000 - 300,000
2 days ago
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Machine Learning QA Engineer

Info Resume Edge

Sharjah
On-site
AED 200,000 - 300,000
Yesterday
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Machine Learning Operations (ML/Ops) Engineer – Team Lead

Brixio

United Arab Emirates
Remote
AED 367,000 - 551,000
2 days ago
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Principal Data Scientist - Cloud ML & MLOps Lead

GSSTech Group

United Arab Emirates
On-site
AED 250,000 - 300,000
Yesterday
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AI Economics Data Scientist - Shape Policy & Growth

Whiteshield

United Arab Emirates
On-site
AED 200,000 - 300,000
Yesterday
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Senior Data Engineer - Real-Time Pipelines (Contract)

BlackStone eIT

United Arab Emirates
On-site
AED 120,000 - 200,000
Yesterday
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Logistics Operations Specialist - Data-Driven Improvements

Delivery Hero SE

Dubai
On-site
AED 120,000 - 200,000
Yesterday
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Senior DevOps Engineer – Data Platforms (On‑Prem)

Logifuture

United Arab Emirates
Hybrid
AED 120,000 - 200,000
Yesterday
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Growth Analyst: Data-Driven Growth & Dashboards

Bayut | dubizzle

United Arab Emirates
On-site
AED 120,000 - 200,000
Yesterday
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Jr. Data Analyst (Power BI)

Qureos Inc

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

Virtusa

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

Talent Bridge HR Consultancy Dubai

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

DATA SCIENTIST

Duncan & Ross

Abu Dhabi
On-site
AED 120,000 - 150,000
Yesterday
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Data analyst (H / F)

Naval Group

United Arab Emirates
On-site
AED 169,000 - 255,000
Yesterday
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Market Research & Data Analyst

UAE Branches

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

Data Scientist, AWS Generative AI Innovation Center

Amazon

Dubai
On-site
AED 200,000 - 300,000
Yesterday
Be an early applicant

Senior Data Scientist - Analysis Track | Dubai

Moove

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

GTS

Abu Dhabi
On-site
AED 120,000 - 200,000
Yesterday
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Sr. Data Analyst - Tech

Delivery Hero

Dubai
On-site
AED 100,000 - 150,000
Yesterday
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Senior Data Analyst: Strategic Insights & Dashboards

American University of Ras Al Khaimah

Ras Al Khaimah
On-site
AED 150,000 - 190,000
Yesterday
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Senior Data Modeler – Banking Data Strategy & AI

Deeplight

United Arab Emirates
On-site
AED 350,000 - 450,000
Yesterday
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Product Data Scientist II (Based in Dubai, UAE)

Delivery Hero SE

Dubai
On-site
AED 200,000 - 300,000
Yesterday
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Sr. DevOps Data Hadoop Engineer

Synechron

Dubai
On-site
AED 180,000 - 240,000
Yesterday
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Big Data Engineer

Virtusa

Dubai
On-site
AED 120,000 - 200,000
Yesterday
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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
Full time
2 days ago
Be an early applicant

Job summary

A prominent recruitment agency is seeking a Machine Learning Engineer to work with a client in Abu Dhabi's Government. The role involves developing AI/ML solutions using Large Language Models like GPT and BERT, focusing on high-impact projects and ensuring compliance with government standards. Candidates should have 6-14 years of AI/ML experience, expertise in LLM architectures, and proficiency in Python and relevant ML frameworks.

Qualifications

  • 6-14 years of hands-on experience in AI/ML with a strong focus on LLMs and GenAI.
  • Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
  • Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow).

Responsibilities

  • Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures.
  • Implement scalable solutions using cloud-based ML services.
  • Deploy and monitor models in production ensuring adherence to compliance standards.

Skills

Experience in AI/ML
LLMs and GenAI
Python
Prompt engineering
RAG implementations

Tools

Azure ML
Python LangChain
HuggingFace
PyTorch/TensorFlow
Job description
Description

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabis Government & Public Sector. In this role you will design and deploy cutting‑edge AI/ML solutions using Large Language Models (LLMs) like GPT Llama and BERT to drive innovation in public services.

This is an exciting opportunity to work on high‑impact projects involving Retrieval-Augmented Generation (RAG) fine‑tuning and prompt engineering ensuring secure scalable and compliant AI systems for government applications.

Key Responsibilities
  • Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures fine‑tuning and prompt engineering tailored for public sector needs.
  • Implement scalable solutions using Python LangChain HuggingFace PyTorch/TensorFlow and cloud‑based ML services (Azure ML preferred).
  • Integrate vector/graph databases (Weaviate Neo4j) into production systems to enhance data retrieval and analysis.
  • Deploy and monitor models in production ensuring adherence to government security and compliance standards.
  • Collaborate with cross‑functional teams to align AI solutions with public sector objectives (e.g. citizen services, data governance, operational efficiency).
Requirements
  • 6-14 years of hands‑on experience in AI/ML with a strong focus on LLMs and GenAI.
  • Expertise in LLM architectures (Transformers), prompt engineering and RAG implementations.
  • Proficiency in Python and ML frameworks (LangChain LlamaIndex HuggingFace Scikit‑learn).
  • Experience with cloud platforms (Azure ML, AWS or GCP) and MLOps tools (MLflow, model monitoring).
  • Familiarity with vector databases, ETL pipelines and unstructured data handling.
  • Knowledge of government IT standards or secure deployments is a plus.
Benefits

To be discussed

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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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