21 Machine Learning jobs in the United Arab Emirates

Are you actively seeking a new job role? Well, you are at the right place! We’re looking for a skilled Machine Learning Expert to join our team and enhance our AI-driven information systems. The ideal candidate will develop intelligent models that optimize database queries and improve our robotics dialogue flow, enabling natural voice-based interactions between users and our robot. This role involves working with large datasets, implementing AI-powered solutions, and collaborating with cross-functional teams to bring cutting-edge machine learning innovations into our systems.

• Design, develop, and optimize machine learning models for database query automation and voice-based interactions.
• Enhance the robotic dialogue flow by implementing NLP (Natural Language Processing) models for seamless user communication.
• Work with SQL and NoSQL databases to improve query efficiency and response time using AI-driven approaches.
• Develop speech recognition and text-to-speech models to facilitate natural voice interactions.
• Implement predictive analytics and recommendation systems to enhance user experience.
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.
• Train and fine-tune deep learning and reinforcement learning models for adaptive conversation flows.
• Monitor model performance, troubleshoot issues, and continuously refine algorithms.

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP frameworks such as spaCy, NLTK, or OpenAI GPT models.
• Knowledge of speech recognition technologies like DeepSpeech or Google Speech-to-Text API.
• Experience with database management and AI-driven query optimization.
• Familiarity with robotics frameworks such as ROS (Robot Operating System) is a plus.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication abilities.

• Experience in deploying AI models to production using Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.
• Understanding of edge AI for deploying models on embedded systems or robotics hardware.

We are a group of professionals aiming to create a positive impact that makes a difference in mobility solutions. We are focused on developing unique solutions that fit the needs of customers across the industry verticals.

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

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.

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!

We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.

Responsibilities:

• Design, build, and deploy machine learning models and algorithms
• Collaborate with data scientists to refine data features and enhance model performance
• Optimize and improve existing machine learning models for efficiency and accuracy
• Conduct data preprocessing, feature engineering, and data analysis
• Monitor and maintain models in production to ensure they operate effectively
• Document and communicate model designs and performance metrics to stakeholders
• Stay updated on the latest industry trends and advancements in machine learning and AI
• Participate in code reviews and contribute to a culture of continuous improvement

Profile requirements:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field
• Proven experience as a Machine Learning Engineer or in a similar role
• Proficiency in programming languages such as Python, Java, or R
• Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of algorithms, data structures, and software engineering principles
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models
• Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy)
• Excellent problem-solving skills and ability to work collaboratively in a team environment
• Experience with deep learning and natural language processing (NLP) techniques
• Understanding of model interpretability and explainability
• Perform statistical analysis, and train and retrain systems to optimize performance

Preferred Skills:

• Familiarity with version control systems (e.g., Git) and CI/CD practices
• Experience with AI/GenAI
• Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena)

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

Get AI-powered advice on this job and more exclusive features.

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 .

Machine Learning (LLM) Research Internship

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi Emirate, United Arab Emirates 6 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 10 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 4 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates AED18,000.00-AED20,000.00 1 month ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi Emirate, United Arab Emirates 1 week ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 4 months ago

Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi Emirate, United Arab Emirates 4 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 days ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi Emirate, United Arab Emirates 1 day ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

J-18808-Ljbffr

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!

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.

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

Disclaimer: Naukrigulf.com is a platform to connect jobseekers and employers. Please verify the legitimacy of the employer independently. We do not endorse any requests for money and advise against sharing personal or bank details. For security advice, visit our website. For suspected fraud, email