129 Machine Learning Techniques jobs in the United Arab Emirates

Join the Roads and Transport Authority (RTA) to lead transformative AI strategies that shape the future of smart mobility and data-driven governance in Dubai. We're looking for a dynamic Chief Specialist to drive cutting-edge AI research , project implementation , and cross-agency innovation .

Key Responsibilities:

• Implement and manage the AI Strategy aligned with RTA's Digital Vision
• Lead design, testing, and deployment of AI solutions including machine learning , NLP , computer vision , and robotics
• Develop the AI roadmap , methodology, policies, and standards across departments
• Drive AI proof-of-concept development, tendering, vendor management, and project delivery
• Foster a culture of AI innovation , experimentation, and capability building across RTA
• Conduct global AI research, evaluate tech trends, and optimize executed use cases
• Identify and prioritize AI projects across agencies based on organizational needs and impact
• Build and mentor a high-performing AI engineering team focused on continuous learning

Qualifications & Skills:

• Bachelor's degree in IT, Computer Science, Computer Engineering, or equivalent
• Minimum 11 years of proven experience leading successful AI projects
• Expertise in machine learning , deep learning , reinforcement learning , generative AI , and neural networks
• Proficiency in Python , Java , Scala , C++ , or R
• Hands-on with frameworks like TensorFlow , Keras , Scikit-learn , Caffe , etc.
• Experience with structured & unstructured data , KPI development , and agile/scrum methodologies

Be part of Dubai's transformation into a world-class smart city

• Mid-Senior level

• Full-time

• Information Technology

• Government Administration

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Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team.

This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.

You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.

Job Title

We are seeking a seasoned Data Science Professional to lead our analytics initiatives. This role requires 8-10 years of experience in data science, with a focus on managing loyalty programs.

The ideal candidate will:

• Develop innovative analytics use cases and projects for clients.
• Contribute to the growth and development of our analytics practice.
• Provide expertise on flagship loyalty management projects with select customers.

Key Responsibilities:

• Client Engagement: Collaborate with clients to understand their business needs and propose suitable analytics solutions.
• Solution Development: Build solutions to meet client requirements.

• Growth of Analytics Practice: Contribute to the strategic growth and development of the analytics practice.
• Industry Trends: Stay updated with industry trends and advancements in data science and analytics.

• Loyalty Management Projects: Provide leadership and expertise on flagship loyalty management projects with select customers.
• Loyalty Program Design: Ensure the successful design, execution, and management of loyalty programs.

• Expertise: Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Data Modeling: Strong understanding of data modeling, statistical analysis, and machine learning techniques.

• Skills and Qualifications: Bachelor's degree in computer science, statistics, mathematics, computer engineering, data science, or AI. Postgraduate degree in computer science is an added advantage.

Unlock your full potential as a Data Science leader and drive innovation in the digital transformation of our clients.

We are seeking an exceptional professional with expertise in AI/ML to join our team. As a Senior Manager, you will be responsible for providing technical leadership and strategic direction in Data Science/AI/ML.

Key Responsibilities:

• Provide expert guidance on ML algorithms and data pre-processing techniques.
• Collaborate with cross-functional teams to define project scope and apply ML algorithms.
• Lead the identification of new AI/ML opportunities by leveraging your technical expertise.
• Shape data solutions and properly scope engagements.
• Foster strong relationships with clients through effective project delivery.
• Engage client executives up to C-level to maximize growth.
• Provide mentorship and guidance to junior team members.
• Stay updated with the latest advancements in AI/ML.
• Support pre-sales activities by assessing Data opportunities.

Requirements:

• Bachelor's or Master's or PhD in Computer Science or a related field.
• Fluent English speaker with Arabic being a strong advantage.
• Experience and knowledge of the Oil & Gas/Energy sector.
• Strong experience in a senior or leadership role within Data Science/Data Analytics Technology Consulting.
• Proven track record in designing and implementing AI/ML solutions.
• Technical proficiency in programming languages such as Python, R, or Java.
• Solid understanding of ML algorithms and data pre-processing techniques.
• Demonstrated experience in engaging and influencing senior stakeholders.
• Strong communication skills and ability to explain complex concepts.
• Ideally experience in pre-sales or supporting sales teams.

Enterprise Data Science Lead – Applied AI (Corporate Finance)

Location: Abu Dhabi, UAE | Full-time

Are you passionate about transforming finance through AI? A leading Financial Institution is looking for an experienced Enterprise Data Science Lead to drive applied AI initiatives within its Corporate Finance division.

This is a high-impact role for someone who thrives at the intersection of cutting-edge technology and strategic business outcomes.

What You'll Do

• Build and deploy AI/ML models to optimize financial decision-making and operations.
• Develop domain-specific LLMs and RAG pipelines for intelligent automation.
• Collaborate with Finance, Risk, and Tech teams to identify and deliver AI opportunities.
• Automate workflows using agent-based AI tools.
• Evaluate and integrate third-party AI solutions.
• Champion responsible AI practices (bias detection, explainability, compliance).

What You Bring

• Master's or PhD in a technical field (CS, Math, Engineering).
• 10–12 years in applied data science or AI/ML delivery.
• Hands-on experience with LLM frameworks (LangChain, HuggingFace, Azure OpenAI).
• Strong MLOps background (CI/CD, monitoring, testing).
• Excellent communication and stakeholder engagement skills.

Tech Stack & Tools

Python | PyTorch | TensorFlow | LangChain | FAISS | Pinecone

Azure ML | Snowflake | Airflow | MLflow | SHAP | LIME

This role reports to the Chief Data Analytics Officer .

Why Join?

• Lead transformative AI initiatives in a dynamic finance environment.
• Collaborate with top-tier professionals across disciplines.
• Competitive compensation and benefits.
• Shape the future of AI in corporate finance.

Interested or know someone who fits the bill?

Let's connect Drop your CV or tag someone in the comments.

AIJobs #DataScience #LLM #FinanceCareers #MLOps #Hiring #AbuDhabiJobs #TechLeadership #AppliedAI #CorporateFinance

Data Science Lead

The Data Science Lead will be responsible for developing and implementing the organization's institutional data strategies, ensuring alignment with FAIR principles and enabling AI-readiness across disciplines and functions.

Key Responsibilities:

• Lead the development and implementation of the organization's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of the organization's federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across Centers, platforms, and programs.
• Advance data, interoperability, and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across the organization's data lifecycle.

Engagement:

• Work closely with the Digital Transformation Accelerator leadership to ensure alignment of data-related investments, strategies, and governance models across the organization's science and enabling functions.
• Advise and support research programs and accelerators to co-develop and scale data-intensive solutions and decision-support tools, aligned with the organization's 2030 Research and Innovation Strategy.
• Collaborate with partners to contribute to public-good data infrastructure, standards development, and frontier data innovation.

Delivery:

• Establish and lead a CGIAR-wide Data Science Function and Community of Practice, fostering best practices, capability building, and standardization in data science, analytics, and infrastructure management.
• Ensure the timely implementation of the organization's institutional data strategy including the development of workplans and budgets

Required Skills and Qualifications:

Education and Experience:

• Advanced degree (Master's or PhD) in Data Science, Information Systems, Statistics, Computer Science, or a related discipline with a focus on data architecture, governance, or applied analytics.
• Minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research, public-good, or international development organizations.
• Proven track record in building and managing complex data ecosystems and driving data-enabled innovation across disciplines and functions.

Benefits:

The successful candidate will be employed by the CGIAR System Organization. The CGIAR System Organization is an equal opportunity employer and offers competitive compensation with favorable taxation arrangements and comprehensive employee benefits comprising extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

System Organization appointments are typically for a fixed term of three years, with a possibility of renewal subject to effective performance, operational needs, and funding.

CGIAR is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational, and multi-disciplinary, collegial working environment, with a competitive salary, excellent benefits, and flexible working arrangements. We consciously create an inclusive organization that reflects our global character and commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities. If you require accommodation due to a disability, please contact us.

Shape the future of data-driven business decisions, bridging strategy and analytics to unlock real impact.

A globally renowned consulting firm is seeking a Data Strategist (Manager level) to translate complex analytics into actionable business insights. Acting as the vital bridge between business and IT, you will design advanced data tools, craft predictive models, and lead the delivery of solutions that transform customer experiences, drive growth, and sharpen competitive advantage.

As a Data Strategist, you will guide stakeholders in defining data opportunities, develop and implement cutting-edge models, and ensure every initiative leads to measurable business outcomes, from boosting revenue and optimising marketing to reimagining customer engagement in a digital-first world.

Delivery Leadership

• Partner with stakeholders across business and IT to identify opportunities for leveraging data to deliver tangible business outcomes.

• Data mining, analysis and interpretation of complex datasets to optimise product development, marketing strategies, and operational efficiency.

• Assess and validate the effectiveness of new data sources, ensuring the accuracy and reliability of insights.

• Design, build, and deploy custom data models and algorithms tailored to unique business challenges.

• Apply predictive modelling to enhance customer experiences, improve ad targeting, and maximise revenue potential.

• Establish and manage A/B testing frameworks to evaluate model quality and business impact.

• Collaborate with cross-functional teams to integrate data models into products and monitor their performance post-launch.

• Develop scalable processes and tools to continuously monitor, analyse, and refine model performance.

Team & Talent Leadership

• Act as an analytics translator, ensuring business teams understand technical insights and IT teams are aligned with business priorities.

• Mentor junior analysts and data professionals, fostering growth and building organisational data fluency.

• Champion a culture of data-driven decision-making, experimentation, and continuous improvement.

• Build strong relationships with senior stakeholders to influence strategy and maximise adoption of data solutions.

• 3–5 years of hands-on experience in advanced analytics, data modelling, and predictive techniques within a business environment.

• Strong expertise in statistical and data mining methods (regression, decision trees, clustering, neural networks, etc.).

• Proficiency with relational databases (SQL) and hands-on experience handling large datasets.

• Familiarity with programming languages such as Python, C++, or Java is a strong plus.

• Proven ability to distil technical and analytical content into clear, business-ready recommendations.

• Intellectual curiosity and strong problem-solving skills, with the ability to break down complex issues and identify actionable solutions.

• Track record of leadership:inspiring, building relationships, and driving results.

• Skilled in collaborating across multidisciplinary teams and presenting confidently to senior stakeholders.

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• Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Mathematics, or similar) required; advanced degree preferred.

• Prior consulting experience is highly desirable.

We are seeking a highly skilled and experienced professional to lead our institutional data strategy, ensuring that data is accessible, interoperable, and reusable.

The successful candidate will be instrumental in designing and delivering our data-driven innovation strategy, bridging innovation and inclusion to support science decision-making and operational excellence.

Main Responsibilities:

• Develop and implement an institutional data strategy, spanning research operations governance, and knowledge systems.
• Oversee the design and governance of our federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across centers platforms, and programs.
• Advance data interoperability and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across our data lifecycle.
• Mobilize partnerships and funding to support our data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.

Requirements include an advanced degree in data science, information systems, statistics, computer science, or a related discipline, with a focus on data architecture governance, or applied analytics, as well as minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research public-good or international development organizations.

We offer competitive compensation, favorable taxation arrangements, and comprehensive employee benefits, including extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

To apply, please submit your application, including your CV, cover letter, and portfolio of work, demonstrating your experience and skills in data science and leadership.

We are an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from qualified candidates worldwide.

Our mission is to drive innovation and progress in the field of AI-powered SpaceTech.

As a Trainee - Data Science/Machine Learning, you will contribute to ongoing research and development on advanced data analytics and new-age AI/ML concepts.

• Conduct thorough literature reviews on advanced topics and develop concise comparative summaries
• Contribute to internal knowledge bases and develop white papers on latest technologies
• Develop explainer videos and presentations that showcase your skills and expertise

To succeed in this role, you must possess strong problem-solving and communication skills, as well as the ability to learn new technologies quickly.

• Strong background in Machine Learning with expertise in deep learning
• Excellent problem-solving and communication skills
• Ability to work independently and as part of a team
• Self-driven, motivated and results-oriented mindset

At the heart of our organization is a bias for action and a passion for developing innovative, efficient space services through AI-driven smart solutions. If you share these values and are performance-driven with an inquisitive mind, you will thrive in this role.

• Role Level: Internship
• Work Type: Full-Time
• Country: United Arab Emirates
• City: Abu Dhabi
• Job Function: Others
• Sector: Space Research and Technology