345 Machine Learning Engineer jobs in the United Arab Emirates

General Purpose

• We are looking for a highly skilled Machine Learning Engineer to join our team and contribute to the development of AI-powered solutions. The candidate should have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models and GenAI solutions using modern cloud platforms and MLOps practices. You will work closely with cross-functional teams to design scalable AI pipelines and integrate LLM-based solutions into production environments. You will play a critical role in building scalable, resilient, and secure data platforms that power analytics, AI, and data-driven innovation at Wynn.
  
  

• Design, implement, and maintain end-to-end ML pipelines using Databricks notebooks, Delta Lake, and MLflow for experiment tracking, model versioning, and lifecycle management.
• Leverage Databricks AutoML for rapid prototyping and efficient model selection in early-stage experimentation.
• Implement ML model deployment workflows using Databricks Jobs and manage serving endpoints with low-latency requirements.
• Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks.
• Build and deploy ML production systems, contributing to their design and ongoing maintenance
• Develop and maintain ML pipelines, manage the data lifecycle, and ensure data quality and consistency throughout
• Assure robust implementation of ML guardrails and manage all aspects of service monitoring
• Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations
• Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios
• Collaborate with cross-functional teams including architects, data engineers, analysts, and business leaders to deliver robust data solutions.
• Write and maintain infrastructure as code using YAML, Implement and manage CI/CD pipelines for ML workflows.
• Ensure model governance and compliance using protocols like Model Context Protocol and A2A Protocol.
• Produce comprehensive documentation including architectural diagrams, data flow maps, runbooks, and lineage tracking artifacts.
• Continuously improve ml pipeline efficiency by identifying performance bottlenecks and reducing compute/storage costs.
• Containerize applications using Docker and manage deployments on Azure
• Implement DevOps best practices in the data lifecycle, including CI/CD for pipelines, automated testing, and version control.
• Facilitate internal knowledge sharing via technical workshops, peer reviews, and training sessions for continuous team development.
  
  

• A bachelor's degree in computer science, information technology, or a related field is required; a master's degree is preferred but not mandatory.
• Minimum age 21.
  
  

• A minimum of 3-5 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.
• Proven track record of building, scaling, and leading complex ML engineering platforms in enterprise environments.
• Strong experience designing and deploying cloud-native ML solutions on Azure Databricks, with an emphasis on scalable model training, model management using MLflow, and real-time inference.
• Demonstrated success in implementing AI agents or autonomous workflows using tools such as LangGraph, CrewAI, or similar frameworks.
• Experience in real-time or near-real-time inference systems and low-latency model serving.
  
  

• Hands-on experience with Databricks Machine Learning environment, including MLflow tracking, model registry, and production deployment workflows.
• Proficient in using Databricks Feature Store, AutoML, and real-time model inference using Databricks Serving or external endpoints.
• Familiarity with Databricks Unity Catalog and access control for secure ML asset management.
• Advanced proficiency in Python and LLM, with strong skills in performance tuning, modular coding, and automation scripting
• Experience deploying GenAI & related frameworks (e.g., LangChain, LLMOps, PaLM) use cases in Snowflake ecosystem
• Develop, optimize, and maintain scalable machine learning workflows and models using Databricks notebooks and MLflow.
• Understanding of how MCPs can complement structured Snowflake data to deliver rich narrative insights, automated clinical summaries, and patient engagement tools.
• Build AI-driven applications using Snowflake Cortex, Document AI, and Snowpark ML.
• Integrate GenAI tools like OpenAI GPT, Claude (Anthropic), and xAI's Grok to enhance unstructured data processing and generate intelligent summaries or decision recommendations.
• Experience in experimentation, feature engineering, Model registration, deployment, and monitoring, using AutoML cost and quota management
• Strong written and verbal communication skills in English, with the ability to influence, mentor, and align technical teams and stakeholders.
• Candidates with coursework or academic research in deep learning, reinforcement learning, or natural language processing are highly encouraged.
  
  

• Databricks Certified Machine Learning Professional
• Snowflake SnowPro Core Certification
• Azure Data Scientist Associate
  
  

Apt Resourcesis seeking an experiencedMachine Learning Engineerfor aclient 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 involvingRetrieval-Augmented Generation (RAG) fine-tuning and prompt engineering ensuring secure scalable and compliant AI systems for government applications.

• Develop and optimizeAI/ML pipelinesfor LLMs focusing onRAG architectures fine-tuning and prompt engineeringtailored for public sector needs.
• Implement scalable solutions usingPython LangChain HuggingFace PyTorch/TensorFlow and cloud-based ML services (Azure MLpreferred).
• Integratevector/graph databases(Weaviate Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production ensuring adherence togovernment security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions withpublic sector objectives(e.g. citizen services data governance operational efficiency).

• 6-14 yearsof hands-on experience inAI/ML with a strong focus onLLMs and GenAI.
• Expertise inLLM architectures (Transformers) prompt engineering and RAG implementations.
• Proficiency inPythonand ML frameworks (LangChain LlamaIndex HuggingFace Scikit-learn).
• Experience withcloud platforms (Azure ML AWS or GCP)andMLOps tools (MLflow model monitoring).
• Familiarity withvector databases ETL pipelines and unstructured data handling.
• Knowledge ofgovernment IT standards or secure deploymentsis a plus.

To be discussed

Job Summary:

Our client is seeking a highly skilled Machine Learning Platform Engineer to join their team in Dubai. As a Machine Learning Platform Engineer, you'll design, develop, and maintain scalable machine learning platforms and infrastructure to support our business objectives.

Key Responsibilities:

1. Design and develop machine learning platforms and infrastructure
2. Build and maintain scalable data pipelines and architectures
3. Collaborate with cross-functional teams to integrate machine learning models with business applications
4. Develop and implement automated testing and deployment scripts
5. Ensure platform security, scalability, and reliability

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or related field
2. 3 years of experience in machine learning platform development
3. Proficiency in programming languages such as Python, Java, or C
4. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
5. Strong understanding of data structures, algorithms, and software design patterns

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master's or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending

Join to apply for the Machine Learning Engineer role at Helios Towers .

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Direct message the job poster from Helios Towers.

French Language Expert and Senior Talent Acquisition Manager

Machine Learning Engineer

Location : Dubai, UAE

About Us : We are a leading independent telecoms infrastructure company, with one of the most extensive tower portfolios across Africa and the Middle East. Our business model promotes tower infrastructure sharing and enables mobile network operators to deliver connectivity more quickly, reliably, and cost-effectively, driving sustainable development in our markets.

Overview : Reporting to the Director of Digital Innovation, you will design, build, and deploy production-grade machine learning solutions, driving data-driven insights for our global tower-management platform.

Key Responsibilities :

• Ingest and preprocess structured / unstructured data (images, text, time series)
• Engineer and select features to maximize model performance
• Prototype and implement ML algorithms using TensorFlow, PyTorch, or scikit-learn
• Perform hyperparameter tuning, cross-validation, and model selection
• Define evaluation metrics (precision, recall, F1, ROC-AUC) and conduct A / B tests
• Build CI / CD pipelines for data, code, and model artifacts; automate retraining and rollback
• Monitor model performance, data drift, and system health; alert on anomalies
• Document model designs, data schemas, APIs, and runbooks

Experience & Skills :

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• MLOps tools : MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP)
• Domain experience in computer vision, NLP, or forecasting
• Agile / Scrum collaboration; strong analytic and communication skills

Qualifications :

• Bachelor's / Master's in CS, Data Science, Statistics, or related
• Google Professional ML Engineer
• Proficiency in SQL, Git, Docker, and Kubernetes
• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance

Helios Towers is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, marital status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion, or belief.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Telecommunications

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Description

Apt
Resourcesis seeking an
experiencedMachine Learning
Engineerfor aclient 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
involvingRetrieval-Augmented Generation (RAG)
fine-tuning and prompt engineering ensuring secure
scalable and compliant AI systems for government
applications.

Key
Responsibilities:

• Develop and optimizeAI/ML
  pipelinesfor LLMs focusing onRAG
  architectures fine-tuning and prompt
  engineeringtailored for public sector
  needs.
• Implement scalable solutions
  usingPython LangChain HuggingFace
  PyTorch/TensorFlow and cloud-based ML services
  (Azure MLpreferred).
• Integratevector/graph
  databases(Weaviate Neo4j) into production systems to
  enhance data retrieval and analysis.
• Deploy
  and monitor models in production ensuring adherence
  togovernment security and compliance
  standards.
• Collaborate with
  cross-functional teams to align AI solutions
  withpublic sector objectives(e.g.
  citizen services data governance operational
  efficiency).

Requirements

• 6-14 yearsof hands-on
  experience inAI/ML with a strong focus
  onLLMs and GenAI.
• Expertise inLLM architectures
  (Transformers) prompt engineering and RAG
  implementations.
• Proficiency
  inPythonand ML frameworks
  (LangChain LlamaIndex HuggingFace
  Scikit-learn).
• Experience
  withcloud platforms (Azure ML AWS or
  GCP)andMLOps tools (MLflow model
  monitoring).
• Familiarity
  withvector databases ETL pipelines and unstructured
  data handling.
• Knowledge
  ofgovernment IT standards or secure
  deploymentsis a plus.

Benefits

To
be discussed

Key Skills

Children Activity,Graduate Engineering,Flight
Operations,Adobe Photoshop,Content Marketing,Broadcast
Employment Type : Full-Time
Experience: years

Vacancy: 1

We are seeking a seasoned Machine Learning Engineer to lead the design, development and deployment of cutting-edge AI solutions. This role requires expertise in advanced statistical analysis, machine learning algorithms, data mining techniques and software engineering principles.

• Design and develop sophisticated machine learning models and predictive analytics tools.
• Collaborate with cross-functional teams to ensure seamless integration of AI solutions with existing infrastructure.
• Analyze complex datasets using statistical and predictive modeling techniques to uncover trends and patterns.
• Develop and maintain large-scale data pipelines and workflows.
• Mentor junior engineers and guide best practices in machine learning, data science and software development.

• Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
• 5+ years of experience in machine learning engineering or related roles.
• Proficiency in Python, R or other programming languages.
• Strong understanding of machine learning algorithms, data mining techniques and statistical methods.
• Experience with big data platforms, cloud-based environments and containerization.
• Excellent communication and stakeholder management skills.

Ambitious companies are looking for talented professionals like you to drive innovation and growth. If you have a passion for machine learning and a drive to succeed, we encourage you to apply.

This role offers a unique opportunity to work on challenging projects, collaborate with experts and contribute to the development of cutting-edge AI solutions.

We are a leading company in the industry, dedicated to delivering high-quality products and services. Our team is passionate about innovation and committed to excellence.

Join us and take the first step towards an exciting career in machine learning engineering.

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 like 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 Masters degree in Computer Science, Engineering, Mathematics, or 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 like MLflow, Airflow, or Kubeflow.

• Contributions to open-source ML projects or published research papers.

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Direct message the job poster from PureCS

Talent Acquisition | Open Networker (LION500) | Connecting Globally | UAE Hiring | #LION #OpenToNetwork

We're Hiring : Machine Learning Engineer | Healthcare & Insurance AI Solutions

About the Role

PureCS is on a mission to transform healthcare and insurance ecosystems through AI-driven innovation. We are seeking a Machine Learning Engineer to lead a multidisciplinary team in designing and deploying cutting-edge AI solutions that improve patient outcomes, optimize clinical workflows, and streamline insurance operations. This is a high-impact leadership role combining hands-on technical expertise with strategic execution.

Key Responsibilities

• Lead the end-to-end AI / ML lifecycle : data collection, model development, deployment, and monitoring.
• Ensure compliance with data privacy, regulatory standards, and security protocols across ML projects.
• Apply the latest AI techniques to solve real-world healthcare and insurance challenges.
• Manage relationships with third-party AI vendors to ensure smooth integration and performance alignment.
• Oversee delivery timelines, risk mitigation, and achievement of performance benchmarks.
• Partner with product, clinical, and operations teams to address complex, high-value problems using AI.
• Translate technical ML models into actionable business and clinical decisions.
• Develop and maintain CI / CD pipelines, model governance, and scalable AI infrastructure using cloud-native tools.

What We're Looking For

• Bachelor's degree in Computer Science, Data Science, AI, or related field; Master's preferred.
• 5+ years in ML / AI roles, including 2+ years in leadership positions.
• Strong proficiency in Python, TensorFlow / PyTorch, Docker, Kubernetes, and cloud platforms (AWS / Azure).
• Hands-on experience with big data technologies, version control, and MLOps best practices.
• A proven track record in regulated industries, such as healthcare or insurance, is highly desirable.

Must-Have Skills :

• AI model development and validation expertise.
• Proficient in Python, PyTorch, and Scikit-learn.
• Experience with Azure cloud and Docker containerization.
• Skilled in SQL and ETL processes.

Preferred Industry Experience

• Delivering ML / AI solutions in healthcare or insurance sectors (e.g., claims processing, patient data management, risk modeling, fraud detection).
• Exceptional communication skills for collaboration with technical and non-technical stakeholders in healthcare and insurance domains.

Why Work With Us at PureCS?

• Be part of the technology engine behind Pure Health, one of the largest healthcare ecosystems in the UAE.
• Work on AI projects that impact millions of lives through digital health transformation.
• Collaborate closely with executive leadership, clinical advisors, and innovation teams.
• Enjoy competitive compensation, visa support, flexible work culture, and ongoing learning opportunities.

Diversity & Inclusion

At PureCS, we believe innovation thrives in diverse environments. We are committed to building a workplace reflecting the rich diversity of the communities we serve — regardless of gender, race, ethnicity, disability, religion, or sexual orientation. Every voice matters.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

IT Services and IT Consulting

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