284 Machine Learning Engineering jobs in the United Arab Emirates

AI Strategy and Vision

• Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long-term vision.
• Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making.
• Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables.
  

Data Analysis and Modeling

• Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.
• Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.
• Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.
• Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products

Innovation and Research

• Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization.
• Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.
• Use data-driven insights to propose improvements and optimizations to existing processes

Data Privacy

• Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.
• Implement data protection measures and maintain confidentiality of sensitive information.
• Identify potential risks and challenges associated with AI projects and data science initiatives

• Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI
• Minimum 5-8 years of experience in a similar environment
• Industry certifications preferred
• Strong background in machine learning, statistical analysis, and data visualization

Revolutionize the Future of AI and Web3

Our mission is to create a groundbreaking suite of AI-powered products at the intersection of AI, blockchain, and gamification. We're looking for a highly skilled AI Engineer to help shape a transformative ecosystem that will redefine how communities engage with cutting-edge AI solutions in the Web3 era.

About the Role:

• AI Development and Integration: Design and implement an adaptive AI system that evolves dynamically through reinforcement learning and user interactions. Develop a sentiment analysis model to interpret and react to social media engagement (e.g., Twitter API). Ensure seamless integration of the AI system with blockchain data and token-driven mechanics.
• Blockchain and Token Mechanisms: Implement token-based actions (staking, feeding, training) that directly influence the AI pet's behavior, appearance, and attributes. Develop cross-chain compatibility to support multiple tokens and wrapped token mechanics. Incorporate trending token metrics (e.g., sentiment, trading volume) into the AI's decision-making processes.
• Community Engagement and Gamification: Build interactive mechanisms to allow users to influence the AI through community actions (e.g., feeding tokens, staking). Implement competitive gamification elements such as leaderboards and "pack formations" to encourage user participation. Collaborate with the product team to design community-driven governance models for shaping the AI pets' evolution and narrative.
• Scalability and Performance: Ensure the AI system is scalable and efficient to handle high volumes of user interactions. Optimize models for real-time response and seamless user experience.

Required Qualifications:

• Proven experience in developing AI/ML systems, with a focus on reinforcement learning and sentiment analysis.
• Strong programming skills in Python, TensorFlow, or PyTorch.
• Experience with blockchain technologies, including smart contracts, tokenomics, and interoperability.
• Familiarity with Web3 ecosystems and APIs (e.g., Twitter API).
• Hands-on experience with gamification or user engagement systems is a plus.

Preferred Qualifications:

• Knowledge of token-based mechanics and community-driven projects.
• Experience in building scalable AI systems integrated with real-time blockchain data.
• Possession for creating engaging, user-centric AI experiences.

About Us:

We are an exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry.

We offer attractive compensation plus token allocations, scrum/agile environment, highly skilled engineering team, remote work in a timezone that corresponds well with the UAE time, paid vacation and public holidays.

Job Summary:

We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making.

Key Responsibilities:

• AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement.
• Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality.
• Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations.
• Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively.
• Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives.
• Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions.
• A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features.
• Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies.
• Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques.

Qualifications: Required:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts.
• Strong proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Preferred:

• Master's degree in a relevant field.
• Familiarity with Python or R for data analysis, scripting, and statistical modeling.
• Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services.
• Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics.
• Experience working in an agile development environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on exciting and impactful AI projects.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements (if applicable).
• Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.)

Job Title: AI Visionary

We are seeking an exceptional AI visionary to spearhead the development of cutting-edge Generative AI and Machine Learning solutions across diverse use cases. As a key member of our team, you will be responsible for architecting and implementing scalable AI pipelines and frameworks using state-of-the-art technologies.

About the Role:

• 12+ years of experience in software engineering, with 8+ years specifically in AI/ML leadership.
• Hands-on expertise in Generative AI, including Agentic AI, Multi-Agent Systems, Langraph, Ontology-based Knowledge Graphs, LLM fine-tuning (e.g., GPT, BERT) and Prompt Engineering (e.g., Chain-of-Thought).
• Strong experience with Vector Databases, LangChain, Vector Embeddings, Foundation model training, Human-in-the-loop feedback, Multi-modal AI, NLP, Text Classification, Computer Vision.
• Proficient in Python, Jupyter Notebooks, NumPy, pandas, TensorFlow, PyTorch, Hugging Face.
• Practical experience with AWS ML Services, including SageMaker, Bedrock, Lambda, Cognito, CloudWatch, API Gateway, RDS (PostgreSQL).
• Knowledge of Vibe Coding techniques (AI-generated code from natural language prompts).
• Proven track record of delivering 5+ successful AI/ML projects, particularly in foundation models and multi-modal systems.
• Strong leadership and mentoring experience in Agile environments.
• Excellent communication skills to engage with technical and business stakeholders.
• AWS Machine Learning Certification is a plus.
• Willingness to relocate to Dubai if required by project needs.
• Passion for staying current with the latest AI/ML and GenAI trends and incorporating innovations into production-ready systems.

About You:

• Strategic thinker with vision for AI innovation.
• Effective leader and mentor with strong technical skills.
• Collaborative team player with excellent communication skills.

Benefits:

• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

How to Apply:

Please submit your resume and cover letter explaining why you are the ideal candidate for this role.

Job Title: Artificial Intelligence Strategist

Role Description:

We are developing an AI ecosystem that enables businesses to deploy artificially intelligent solutions using our platform and applications. Our technology allows anyone to build AI solutions without writing code or needing a Data Science degree. Our ecosystem is world-changing across industries.

About the Role:

We are looking for highly strategic and data-driven sales & business development leaders to join a team democratizing AI and deploying incredible solutions across the region.

The ideal candidate will have a consultative, insight-based sales approach within the AI/ML sector; a proven track record of growing sales and exceeding annual quotas.

You will need to have a solid track record in a competitor organization and be willing to scale rapidly as we grow. This opportunity will appeal to ambitious individuals who want to be part of a high-growth company.

Our AI Strategists demonstrate skills associated with a high-performance sales culture – especially pipeline management, lead generation, contact network development, and delivering results against quotas.

Key Responsibilities:

• Build a strong understanding of AI/ML technology and related industry developments.
• Define and deploy AI/ML campaigns and work with product and dev teams to implement them.
• Identify opportunities, driving AI technology innovations and building strong relationships.
• Lead cross-functional teams to formulate, negotiate, and execute key partnership deals.
• Hands-on sales leader (

AI Strategy and Vision

• Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision.
• Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making.
• Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables.
  

Data Analysis and Modeling

• Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.
• Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.
• Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.
• Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products

Innovation and Research

• Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization.
• Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.
• Use data-driven insights to propose improvements and optimizations to existing processes

Data Privacy

• Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.
• Implement data protection measures and maintain confidentiality of sensitive information.
• Identify potential risks and challenges associated with AI projects and data science initiatives
• Bachelor's or Master's Degree in Computer Sciences / Data Science/ AI
• Minimum 5-8 years of experience in a similar environment
• Industry certifications preferred
• Strong background in machine learning, statistical analysis, and data visualization
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Senior AI Model Developer

Develop advanced machine learning models to enhance our AI-driven systems. Collaborate with cross-functional teams to integrate innovative solutions into our database query automation and voice-based interaction capabilities.

This role involves designing, developing, and optimizing intelligent models for seamless user communication. You will work with large datasets, implement AI-powered solutions, and improve query efficiency using deep learning and reinforcement learning approaches.

Key Responsibilities:

• Design and develop machine learning models for database query automation and natural voice interactions.
• Enhance robotic dialogue flow by implementing NLP models for user communication.
• Work with SQL and NoSQL databases to improve query efficiency using AI-driven approaches.
• Develop speech recognition and text-to-speech models for natural voice interactions.
• Implement predictive analytics and recommendation systems for enhanced user experience.
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.

• 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.
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.

We are seeking a skilled Senior AI Model Developer to join our team and contribute to the development of cutting-edge AI solutions. As a key member of our team, you will play a crucial role in enhancing our AI-driven systems and driving innovation in the field of machine learning.

Job Summary:

We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making.

Key Responsibilities:

• AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement.
• Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality.
• Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations.
• Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively.
• Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives.
• Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions.
• A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features.
• Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies.
• Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques.

Qualifications: Required:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts.
• Strong proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Preferred:

• Master's degree in a relevant field.
• Familiarity with Python or R for data analysis, scripting, and statistical modeling.
• Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services.
• Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics.
• Experience working in an agile development environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on exciting and impactful AI projects.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements (if applicable).
• Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.)

Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded. Job Responsibilities:
AI Strategy & Execution

• Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
• Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.

• Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
• Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.

• Oversee hands-on design, prototyping, and scaling of AI models and solutions.
• Collaborate with data, policy, and business teams to deploy AI in production environments.
• Ensure robust performance monitoring, model explainability, and continuous improvement.

• Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
• Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
• Represent the firmin external forums on AI and digital transformation in financial regulation.

• Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
• Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
• Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.

• Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.

• Bachelor's degree in computer science, engineering, information technology, or a related field.
• Hands-on AI solution development and deployment in live production environments.
• Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
• Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
• 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
• Strategic thinking and executive-level stakeholder management skills.
• Strong leadership with the ability to build and manage cross-functional AI teams.
• Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
• Deep technical knowledge combined with practical execution ability.
• Experience in implementing AI responsibly with a risk-aware mindset.
• Excellent communication, collaboration, and change management skills.
• Able to explain complex models to non-expert stakeholders.