269 Machine Learning Specialist jobs in the United Arab Emirates

At the forefront of innovation, we're revolutionizing the way people live and work in the Middle East. Our vision is to create a seamless experience that simplifies daily life by providing a single platform for transportation, food delivery, grocery shopping, and payments.

• We are seeking an expert in machine learning to develop, train, and evaluate models for ride-hailing, food delivery, and payments services.
• This role requires analyzing real-world data to create features, signals, and insights that drive business decisions.
• Collaboration with cross-functional teams is crucial in tackling challenges like OCR-based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detection.
• The ideal candidate will implement experiments, track model performance, and roll out models into live systems.
• Enhancing the way machine learning models are served and monitored is essential to our mission.

• A degree in Computer Science, Data Science, Statistics, or related field is required.
• Up to 3 years of experience working with machine learning is necessary, whether through internships, research, personal projects, Kaggle competitions, or previous job roles.
• Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn, are essential.
• A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics is necessary.
• Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost is required.
• Candidates must have clear communication, curiosity, and teamwork ability.

• Experience with deep learning techniques in NLP, vision, or recommender systems is highly desirable.
• Familiarity with large dataset analysis using Spark, Hive, or cloud tools is beneficial.
• Knowledge of model deployment and monitoring workflows is a plus.
• Interest in solving operational challenges like logistics, fraud detection, or customer retention is valuable.
• A GitHub profile or project portfolio demonstrating built projects is highly recommended.

Join our community of innovators and help shape the future of technology.

A cutting-edge organisation seeks a Lead Data Science Researcher to collaborate on long-term projects.

This role is ideal for those who excel in research-intensive environments and enjoy exploring uncharted territory with a strong technical team. You will lead high-impact research initiatives and experimental projects, pushing the boundaries of applied machine learning, especially in medical and clinical data.

As a senior researcher, you will guide a compact team on complex problems, turning them into innovative solutions. Your background should include exceptional analytical and statistical skills, strong ML knowledge, and expertise in SQL, Pandas, Scikit-learn, and modern data workflows.

The ideal candidate has experience with deep learning frameworks like PyTorch or TensorFlow, excellent Python skills, and familiarity with Google Cloud Platform (GCP) environments. Bonus points for experience with state-of-the-art NLP models, pipeline orchestration tools, and anomaly detection.

This is an opportunity to drive forward new ideas and applications, collaborating with top-tier experts in a culture that values curiosity, autonomy, and innovation. The fully remote-friendly setup offers flexibility and trust at the core.

• Lead a compact team on high-impact research initiatives and experimental projects.
• Push the boundaries of applied machine learning, especially in medical and clinical data.
• Turn complex problems into innovative solutions.
• Guide a compact team on complex problems, using exceptional analytical and statistical skills.

Machine Learning Operations Expert

We are seeking an experienced Machine Learning Operations (ML/Ops) professional to lead the deployment of machine learning models into production pipelines for client projects.

Job Description:

Machines are transforming industries by providing insights based on data. We're seeking a skilled professional to lead the deployment of models into pipelines for a client project in Hong Kong. This remote opportunity focuses on high-impact ML infrastructure initiatives.

Key Responsibilities:

• Lead a team of engineers in deploying and managing Machine Learning models
• Collaborate with cross-functional teams to understand project requirements and ensure successful deployment
• Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency
• Work with cloud platforms, particularly Azure and GCP, to optimize machine learning workflows

Required Skills and Qualifications:

• For Team Lead Position: At least 3 years of experience in ML/Ops or a related field; Proven leadership skills with the ability to guide and inspire a team; Excellent communication skills to effectively liaise with clients and internal teams.
• For Engineer Position: Strong experience in deploying Machine Learning models; Proficiency in Python for scripting and automation; Hands-on experience with cloud platforms, particularly Azure and GCP; Prior experience in addressing scalability and pricing concerns in ML operations.

Benefits:

This is a remote opportunity that offers flexibility and work-life balance.

What We Offer:

We offer competitive compensation and opportunities for growth and development.

Job Summary:
A Machine Learning Operations (MLOps) Specialist plays a vital role in bridging the gap between data science and IT operations ensuring seamless integration of machine learning models into production environments. Heres a breakdown of the job:

Key Responsibilities:

Developing and Maintaining CI/CD Pipelines: Create automated workflows for building testing and deploying machine learning models.

Automating Deployment and Monitoring: Ensure models are deployed efficiently and their performance is continuously tracked in production environments.

Implementing Infrastructure as Code (IaC): Manage ML infrastructure using code to ensure consistency and scalability.

Troubleshooting and Resolving Issues: Identify and fix problems related to model deployment and performance.

Collaboration: Work with data scientists and engineers to optimize model performance scalability and integration.

Requirements:

Education: Bachelors degree in Computer Science Engineering or a related field.

Experience: 5 years in MLOps DevOps or a related role.

Technical Expertise: Strong understanding of machine learning concepts algorithms and cloud platforms (AWS Azure GCP).

Scripting Skills: Proficiency in Python or similar scripting languages.

Containerization: Experience with Docker and Kubernetes.

CI/CD Tools: Familiarity with Jenkins GitLab CI CircleCI or similar.

Machine learning operations is a critical function that entails overseeing the deployment of models into production environments, ensuring seamless scalability and efficiency.

• Lead a team of ML engineers in deploying and managing machine learning models to drive business outcomes
• Develop and enhance capabilities to integrate ML models into existing enterprise pipelines, fostering collaboration across teams
• Work closely with cross-functional stakeholders to comprehend project requirements and guarantee successful model deployment
• Prioritize ongoing support to accommodate changing requirements, focusing on optimized scalability and efficiency
• Leverage Python for automation tasks and scripting, streamlining workflows
• Partner with cloud platforms, particularly Azure and GCP, to optimize machine learning workflows and minimize latency

We are seeking a skilled professional to lead the deployment of machine learning models into pipelines for a client project. As a Machine Learning Operations (ML/Ops) expert, you will be responsible for driving high-impact ML infrastructure initiatives from conception to implementation.

In this role, you will oversee the entire lifecycle of machine learning model deployment, ensuring seamless integration with existing pipelines and infrastructure. Your expertise will enable us to deliver high-quality solutions that meet our clients' needs.

A Senior AI Developer is needed to lead the development of cutting-edge AI projects within the financial domain.

• Create conversational AI systems and intelligent chatbots for enterprise use cases, leveraging expertise in product management, data science, programming, and database management.
• Develop generative AI models tailored to specific business objectives, enhancing contextual relevance and task automation.
• Implement Retrieval-Augmented Generation (RAG) and agentic workflows to deliver accurate, context-aware answers and generate custom reports on securities.
• Design and build pipelines for data ingestion, metadata extraction, embeddings, and vector store retrieval to support AI-driven decision-making.
• Extract valuable insights from PDFs using OCR technologies, enabling data-driven business decisions.
• Apply machine learning models (e.g., XGBoost) to predict user purchase probabilities for alternative assets and municipal bonds.
• Develop recommendation systems that suggest securities tailored to user profiles and investment patterns, driving personalized financial experiences.

• Minimum 5 years of experience in AI/ML roles, with a specialization in GenAI solutions.
• Proven track record in designing and developing conversational AI systems and intelligent chatbots for enterprise use cases.
• Strong proficiency in building and fine-tuning generative AI models to meet business objectives.
• Hands-on experience with Retrieval-Augmented Generation (RAG) and agentic workflows.
• Experience developing chatbots for investment research or related financial domains.
• Ability to leverage data from multiple sources (PDFs, emails, web scraping, external APIs, Snowflake) for AI solutions.
• Experience building data pipelines including ingestion, metadata extraction, embeddings, and vector store retrieval.
• Experience applying ML models for financial predictions; competency in building recommendation systems based on user profiles and investment patterns.

• Preferrable degree in Data Science or related field.

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Engineering and Information Technology
• Industries: Technology, Information and Internet

We seek an experienced professional who possesses strong analytical skills, excellent communication abilities, and a passion for innovation. If you're ready to drive business growth through cutting-edge AI solutions, we encourage you to apply.

We're seeking a top-notch Lead DS Researcher to spearhead innovative research initiatives and drive forward new ideas in the field of applied machine learning.

• Main Responsibilities:
• Pushing the boundaries of machine learning, especially in medical and clinical data contexts.
• Transforming complex problems into actionable solutions.

Required Skills and Qualifications:

• Exceptional analytical and statistical expertise.
• A robust background in various areas of machine learning, including traditional classification and regression techniques, recommender systems, text data, clustering, etc.
• Proven experience with deep learning frameworks like PyTorch or TensorFlow.
• Excellent Python skills, extending beyond Jupyter Notebooks to building clean, testable, production-ready code.
• Familiarity with medical or life science data is highly valued.
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows.
• Comfortable working in Google Cloud Platform (GCP) environments.

Benefits:

• A unique opportunity to drive innovation and explore uncharted territory.
• A compact team environment with a strong technical support system.