186 Machine Learning Engineer jobs in the United Arab Emirates

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 Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

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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

Referrals increase your chances of interviewing at PureCS by 2x

Get notified about new Machine Learning Engineer jobs in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates .

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Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

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:

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

Requirements:

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

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 Fox Talent

Our client are a rapidly growing technology house who are building state of the art AI platforms. They are looking to hire a Machine Learning Engineer to work onsite in Dubai who can help take their elite team to the next level.

The ideal candidate will have experience deploying machine learning models across a number of environments and working effectively with cross-functional teams. A strong technical background working with Python frameworks and knowledge of DevOps practices is required, along with a rich history of working on NLP and and AI models.

There is huge opportunity for career progression, training and exposure to the most cutting edge technology in the industry with excellent operational infrastructure.

The role offers a very competitive salary and excellent long term career growth.

If you are interested in applying please get in touch!

Requirements:

• Experience developing AI models and deep knowledge of NLP
• Strong technical background with experience in Python
• Familiarity with DevOps frameworks
• Proven track record building world class AI platforms

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesTechnology, Information and Media

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Dubai, Dubai, United Arab Emirates 12 hours ago

Global Village, Dubai, United Arab Emirates 5 months ago

Global Village, Dubai, United Arab Emirates 1 month ago

Dubai, Dubai, United Arab Emirates 15 hours ago

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Bachelor of Business Administration (Management)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Are you passionate about leveraging cutting-edge AI and machine learning technologies to transform industries? EPAM is seeking a skilled Machine Learning Engineer to join a transformative healthcare project in Abu Dhabi.

This role focuses on delivering impactful AI-driven solutions by designing and implementing machine learning models that address healthcare-specific challenges.

As part of this initiative, you will work with large-scale healthcare datasets, optimize operational efficiency, and improve patient outcomes through personalized care and automation. This is an opportunity to make a meaningful impact while working at the forefront of digital innovation in healthcare.

• Develop and deploy machine learning models and AI-driven solutions tailored to healthcare needs.
• Analyze large, complex healthcare datasets to identify actionable insights and opportunities for improvement.
• Perform data preprocessing, feature engineering, and model validation to ensure high standards of solution quality.
• Collaborate with multidisciplinary teams to ensure seamless execution and delivery of AI use cases.

• 3-7+ years of experience in data science, preferably in healthcare or life sciences domains.
• Advanced knowledge of machine learning techniques, including NLP, Deep Learning, and Computer Vision.
• Strong programming skills in Python, SQL, Spark, with hands-on experience using TensorFlow, PyTorch, Spark MLlib, MLFlow, LangChain, or LlamaIndex.
• Experience in building and scaling MLOps and LLMOps architectures.
• Proficiency with developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker, and related frameworks.
• Familiarity with Databricks and cloud platforms, preferably Azure.
• Expertise in healthcare datasets, data pipelines, and regulatory requirements.
• Understanding of healthcare industry challenges and AI applications in patient care and life sciences.
• The role requires working from the office in Abu Dhabi, UAE.

Role Level: Mid-Level

Work Type: Full-Time

Country: United Arab Emirates

City: Abu Dhabi

• Industry: Recruitment, Placement Firm, Executive Search

• Machine Learning Engineer

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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 Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

About Us

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.

Responsibilities

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.

Computer Vision

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.

Predictive Analytics

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.

Experience

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.

Benefits and Perks

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 Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

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