29 Machine Learning jobs in the United Arab Emirates
Machine Learning Engineer
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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!
#J-18808-LjbffrMachine 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.
ResponsibilitiesCollaborate 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.
#J-18808-LjbffrMachine Learning - Intern
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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
#J-18808-LjbffrMachine Learning Scientist
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Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
Machine Learning Scientist Location : Dubai, UAE
Department : Applied AI & Data Science Team
Reports To : Head of AI & Data Science
We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
Key Responsibilities- Design and implement advanced predictive and optimization models , leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
- Drive applied innovation in Large Language Models (LLMs) , Generative AI , and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
- Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
- Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
- Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
- Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
- Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
- Continuously optimize model performance for scalability, efficiency, and real-world reliability.
- Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
- Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
- Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
- Education : Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
- Experience : At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
- Technical Skills :
- Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
- Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
- Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
- Experience with API development and connecting AI systems to external platforms.
- Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
- Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
- Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
- Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
- Good working knowledge of cloud platforms like AWS, GCP, or Azure.
- Soft Skills :
- Effective communication and collaboration skills, particularly in cross-functional environments.
- Strategic mindset with the ability to translate business goals into data-driven initiatives.
- Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
- Collaborate with top talent across diverse teams and disciplines.
- Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
Our promise to talent
At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
Property Finder Guiding Principles
- Think Future First
- Data Beats Opinions, Speed Beats Perfection
- Our People, Our Power
- The Biggest Risk is Taking no Risk at All
Machine Learning - Intern
Posted today
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Job Description
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
#J-18808-LjbffrLead Machine Learning, Computer Vision Software Engineer
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Project description
Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large‑scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.
Responsibilities- Work directly with computer vision perception engineers, and camera ISP engineers
- Define the image quality requirements for customer use cases
- Develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications
- Develop custom ML models for visual recognition and train them from scratch
- Quantize and prune ML models
- Evaluate data using relevant metrics to increase model performance
- Implement computer vision/image processing algorithms in fast/optimal C++ code
- Implement heuristic/math algorithms and probabilistic methods for camera AI
- Research existing C++ solutions for CV logic
- Develop cross‑platform C++ code
- Cover algorithms and CV code with unit tests
- Ramp up on new technologies related to CV/ML/algorithms (not R&D)
- Integrate machine learning modules into algorithms
- Bachelor's Degree or greater in Computer Science, Software Engineering, or related field
- 3‑5 years of experience developing computer vision applications/algorithms
- Participated in at least 2 image processing / computer vision projects and 1 productized
- Image processing / computer vision background/understanding
- Strong C/C++ experience
- Experience with OpenCV and ML frameworks such as PyTorch, TensorFlow, TensorFlow Lite
- Deep understanding of neural network architectures
- Experience working with embedded devices in C++ on Linux
- Good understanding of geometry (2D/3D) and algebra
- Desire to learn new technologies
- Desire to follow test‑driven development (in CV/ML as well)
- Experience with machine learning integration, inference engines
- General machine learning understanding
- Experience building for Android/Yocto
- Experience/understanding of OpenCL/cuD, or OpenGL/Vulkan (shaders) and desire to learn other SIMD languages
Senior Machine Learning Researcher / Engineer (Job Order Employment)
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Company : Galaxeer Space Consultancy LLC
Date Posted :
Institution: Galaxeer Space Consultancy LLC (Abu Dhabi, UAE)
Deadline for Application: July 25, 2025; 5:00 PM
Project Title: Development of a Python-based AI/ML Library for Space Applications Project Leader: Dr. Florence Wong
Duration: August-September 2025 (subject to extension)
Salary: Php 28,000/month (+ performance-based incentives)
Tentative schedule of interviews: July 28, 2025 (afternoon)
We’re developing a Python library for various applications in space. Accepted applicants will work remotely and coordinate with our team in the UAE for an initial period subject to extension.
Qualifications,Duties and Responsibilities:
- Bachelor’s Degree or higher in Computer Science or relevant to the job
- Experience working with CNN/GNN convolution layers
- Lead the design, implementation, and optimization of architecture of CNN/GNN convolution layers.
- Drive architectural innovation and decision-making.
- Mentor RAs and coordinate integration of new components.
- Actively participate in model tuning, evaluation, and quality assurance.
Interested and qualified applicants should signify their interest in writing. Please attach the following documents to the application letter and send to :
- Resume/CV
- A 30-second video outlining relevant CNN/GNN coding experience Subject: Senior ML Engineer for Galaxeer Project
Selected candidates will be invited for a coding interview and test; candidates who successfully pass the coding interview will be invited to a general interview to determine the candidate’s fit for the role and company culture.
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International Conference on Machine Learning and Cybernetics (ICMLC)
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Overview
International Conference on Machine Learning and Cybernetics (ICMLC)
It aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning and Cybernetics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning and Cybernetics.
#J-18808-LjbffrData Science Intern
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Data Science Intern
Jan, – July, (Dubai)
Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive, multi-skilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world’s most challenging healthcare needs.
What are the benefits for you as an Intern?
Being an intern at our company means you will get the opportunity to develop yourself within one of the worlds leading healthcare companies:
- Gain hands on experience within the pharmaceutical industry
- Ability to grow your potential and be part of a diverse team of employees
- Work within a challenging and dynamic work environment
- Gain strong analytical and problem solving skills
Your responsibilities
- As a member of the Commercial Operations department and of the Data team you will have the opportunity to support on the development and coding of new advanced models and use cases in order to deliver actionable insights to the business.
- Fluency in English
- Ability to work 30-40 hours per week
- Graduating in Q3 2026 or later
- Education in Tech and Computer Science is preferable
- Skills in programming, proficient in Python, preferred experience in Data Analytics tools like Dataiku
- Strong analytical mindset, structured and organized, proactive & striving for excellence, self-driven with efficient reporting capability
What we offer?
- Hybrid work format
- Buddy and mentor support during your journey
- Learning opportunities.
Required Skills:
- Clinical Research
- Cloud Data Catalog
- Computer Science
- Data Analysis
- Database Management
- Data Science
- Data Security
- Data Visualization
- Data Wrangling
- Detail-Oriented
- Event Planning
- Key Performance Indicators (KPI)
- Machine Learning
- Project Management
- Python (Programming Language)
- Software Proficiency
- Statistics
- Vendor Relationship Management
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Intern/Co-op (Fixed Term)
Job Posting End Date: 10/23/2025
Requisition ID: R
#J-18808-LjbffrDirector Data Science
Posted 25 days ago
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As Head of Data Science, you'll be responsible for setting the vision, strategy, and technical roadmap for all data science initiatives. You'll lead the design of models, analytics platforms, and AI-driven insights that directly influence investment decisions across diverse asset classes. This role blends leadership with hands-on delivery, requiring both strategic thinking and technical depth. Client Details An oranisation that is embarking on a transformative journey to embed data-driven decision-making at the heart of its investment strategy. Description * Establish and scale a new Data Science function, defining tools, frameworks, and best practices from scratch. * Build predictive and prescriptive models to support investment decision-making, portfolio optimisation, and risk management. * Design and implement data acquisition, cleansing, and enrichment pipelines for internal and external financial datasets. * Work closely with investment teams to translate business objectives into analytical and AI/ML solutions. * Recruit, mentor, and develop a high-performing team of data scientists and engineers. * Ensure all models and analytics meet rigorous governance, compliance, and ethical standards. * Stay ahead of emerging technologies to drive continuous innovation in the investment analytics space. Job Offer * The freedom and resources to build a cutting-edge Data Science capability from scratch. * Direct impact on high-value investment decisions. * Collaborative, visionary environment with long-term growth potential.
Requirements
* Advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * 12 years combined experience, with at least 7 years of experience in Data Science roles, including leadership in building or scaling teams. * Proven track record in developing investment analytics, financial modelling, or quantitative research solutions. * Proficiency in Python, R, or similar languages, and familiarity with relevant ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience with cloud-based data platforms and big data tools. * Strong business acumen in financial services, asset management, or investment strategy. * Excellent stakeholder management skills, with the ability to influence senior leadership.
About the company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of: Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.
Explore exciting machine learning job opportunities. Machine learning roles involve developing algorithms that allow computers to learn from data. These positions require a strong background in computer science, mathematics, and statistics. Professionals in this field work on projects like predictive modeling, natural language processing, and computer vision.