140 AI Ml Engineer jobs in the United Arab Emirates

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City: Dubai

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

Our Sales teams help to deliver Reckitt's purpose by building shared success with our customers, making access to the highest quality hygiene, wellness, and nourishment possible in-stores and online.Within Sales, we're focused on achieving outperformance across all of our channels, operating in highly competitive categories. This focus results in a dynamic, fast paced environment where cross functional teams are encouraged to collaborate to achieve success.We have around 10,000 sales people across the world, within market roles and ranging in areas like Field Sales, Key Accounts, Trade Marketing and Category Development.

We are a data-first organization, placing analytics at the heart of decision-making to empower business leaders with the insights they need to drive growth and performance. In this role, you will be part of a dynamic, cross-functional team focused on transforming data into strategic advantage across our eCommerce ecosystem.
Your leadership will be instrumental in embedding data and AI into everyday business processes, enabling smarter decisions and delivering measurable impact. You will collaborate closely with business leaders, data scientists, and engineers to ensure seamless integration across the data value chain—from data collection and modeling to analysis, reporting, and experimentation.
We position consumer data and insights at the core of our ways of working, and this role will be pivotal in shaping how we use data to understand consumer behavior, optimize digital marketing investments, and drive commercial outcomes. You will lead a team of analysts and developers, using the full suite of AI and analytics capabilities to solve real business problems with a strong focus on ROI.
This is an exciting opportunity for someone who is inquisitive, entrepreneurial, and passionate about using data to unlock growth in a fast-moving, consumer-centric industry.

• Deliver complex insight use cases through compelling visualizations and narratives, translating analytical findings into actionable business outcomes.
• Analyze consumer sales patterns and digital marketing performance to optimize spend and recommend data-driven actions that improve ROI.
• Build and optimize machine learning models using regression and gradient boosting techniques (e.g., XGBoost, LightGBM), with a strong grasp of explainable ML to interpret model drivers and parameter weights.
• Design and deploy elasticity and price optimization models to inform pricing and promotional strategies across digital channels.
• Create innovative AI use cases that solve business problems and deliver measurable impact.
• Design, implement, and manage experimental frameworks (e.g., A/B testing) to validate new ideas and guide continuous improvement.
• Lead the development and enhancement of eCommerce dashboards, ensuring they remain the central hub for decision-making across teams.
• Manage and mentor a team of data analysts and BI developers, ensuring clear task ownership, domain expertise, and timely delivery of high-quality insights.
• Develop and execute a BI and digital transformation strategy, integrating internal and external data sources to build a comprehensive market model and scalable insights channels.
• Champion a culture of data-driven decision-making, empowering teams with the tools, insights, and mindset needed to drive performance.

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
• Minimum 6+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.
• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.
• Hands-on experience in building and deploying elasticity and price optimization models.
• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.
• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in Python, R, and SQL for data manipulation, modeling, and automation.
• Expertise in data modeling, dimensional design, and working with complex data structures.
• Excellent understanding of machine learning concepts and algorithms, with experience leading AI strategy execution and overseeing model development and deployment.
• Expert in Microsoft Suite, with strong hands-on experience in Power BI and advanced proficiency in Excel.
• Familiarity with cloud-based data platforms (e.g., Azure, AWS, GCP) and version control tools (e.g., Git).
• Experience with data visualization best practices and storytelling through dashboards and reports.

Ecommerce, Analysing sales and Ecommerce data.

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

A software development company is looking for a talented, long-term Lead DS Researcher.

We're looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we're looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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We are seeking an experienced professional to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize performance marketing capabilities.

The ideal candidate has a proven track record in product roles within the performance marketing or advertising technology space, with a strong focus on AI and automation.

• Develop and own the AI product vision and strategy for performance marketing.
• Lead the ideation, development, and launch of AI-driven solutions.
• Develop and implement AI-powered measurement solutions.
• Build and deploy AI automations leveraging Large Language Models (LLMs) and AI agent frameworks.

• Extensive experience in product roles within the performance marketing or advertising technology space, with a strong focus on AI and automation.
• Proven experience building and launching AI-powered products and automations specifically within a performance media context.
• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges.

The successful candidate will have the opportunity to work with a dynamic team, driving innovation and growth in the field of AI and performance marketing.

A long-term opportunity exists for a talented Lead DS Researcher to drive forward new ideas and applications in a research-heavy environment.

This position involves leading a compact team of data scientists on high-impact research initiatives and experimental projects, pushing the boundaries of applied machine learning, especially in medical and clinical data.

The ideal candidate will have exceptional analytical and statistical skills, with strong background in different areas of ML, solid experience with deep learning frameworks like PyTorch or TensorFlow, and excellent Python skills.

Familiarity with medical or life science data is a plus, as well as expertise in SQL, Pandas, Scikit-learn, and modern data workflows.

Working conditions include collaboration with top-tier experts in a culture that values curiosity, autonomy, and innovation, fully remote-friendly setup with flexibility and trust at the core.

• Drive forward new ideas and applications
• Pursue high-impact research initiatives
• Develop expertise in deep learning frameworks
• Cultivate strong Python skills
• Collaborate with top-tier experts

Reports to : Chief Digital Transformation Officer

Location : Abu Dhabi, United Arab Emirates

Grade : SO7 / CG12

Date Published : 13 May 2025

Closing Date for Applications : 4 June 2025 at 16 : 00 CEST

About CGIAR

CGIAR is a global research partnership for a food-secure future. CGIAR science is dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services. Its research is conducted closely with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations, and the private sector.

About the position

Data is the foundation of scientific innovation and institutional transformation. As CGIAR advances a bold agenda to transform food, land, and water systems, the Practice Lead for Data Science will be responsible for designing and delivering CGIAR's institutional data strategy—ensuring data is findable, accessible, interoperable, and reusable (FAIR), while driving data-driven impact across both science and operations.

CGIAR's Digital Transformation Accelerator (DTA), part of its P25 portfolio, is driving the digital transformation of CGIAR and it's mission. With strong institutional and human capacity, the DTA aims to harness the power of ML, LLMs and other AI approaches, robotics, data science, and cybersecurity to create global public goods that enable smallholder farmers to benefit from the digital revolution, the DTA therefore aims to pave the way for a more equitable, sustainable, and inclusive transformation of small-holder production systems.

A key enabler of the DTA is strategic partnerships with leading technology companies and experts. The UAE Presidential Court has pledged support for the establishment of a CGIAR AI Hub in Abu Dhabi (Hub). The Hub will provide essential AI, data, cyber security capacities to CGIAR's science programs, Centers, partners, and technology actors, offering direct access to key players in the global technology ecosystem. Through collaborations, the Hub will co-develop innovations such as, agriculture-specific LLMs and computer-vision-assisted phenotyping approaches.

Based in Abu Dhabi at the Hub and hosted by the UAE's Advanced Technology Research Council (ATRC), the Practice Lead for Data Science will work at the forefront of CGIAR's global data ecosystem transformation. The role will be instrumental in leading CGIAR's shift toward federated, AI-ready, and user-centric data systems—bridging innovation and inclusion to support science, decision-making, and operational excellence.

Key Responsibilities

Purpose

• Lead the development and implementation of CGIAR's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of CGIAR'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 CGIAR's data lifecycle.
• Mobilize partnerships and funding to support CGIAR's data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.
• Identify, communicate, and mitigate potential risks associated with institutional data systems and data management, in line with the CGIAR System risk management framework.

Engagement

Delivery

Requirements

Education and Experience

Key Competencies

Language

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, subject to eligibility, 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.

Submitting Your Application

All applications must be submitted online by clicking the 'Apply' button below. If you require assistance or face challenges in submitting your application, please email with the position title in the subject line. Please note we will not accept applications through this email.

Please ensure that your resume and cover letter are in English and do not contain your marital status, age, or photograph. Documents provided in a language other than English will not be considered.

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 email your request to and include "Diversity and Inclusion Accommodation" in the subject line.

All received applications will be acknowledged; however, only shortlisted applicants will be contacted.

We look forward to hearing from you

This is a highly specialized role that requires expertise in data science and analytics. As a Senior Specialist, you will be responsible for driving business growth through data-driven insights and strategic decision-making.

The ideal candidate will have a strong background in statistics, mathematics, or a related field, as well as 7+ years of experience in data science. You will also need to be proficient in data mining, mathematics, and advanced statistical analysis, with expertise in machine learning and Python.

• Key Responsibilities:
• Develop and implement end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
• Analyze data for trends, patterns, and interpret data to develop advanced and accurate prediction algorithms with a clear business objective
• Design and implement databases integrations to enrich existing data sources and enable smarter business processes
• Collaborate with product design and engineering to develop an understanding of business users' needs and work closely with the engineering team to strategize and execute the development of data products

Education:

Bachelor's degree in statistics, applied mathematics, or a related discipline; Master's degree in stats, applied math, or a related discipline preferred.

Experience:

7+ years of solid experience in data science, with expertise in machine learning, Python, SQL, and other relevant tools.

Skills:

Advanced pattern recognition and predictive modeling experience; proficiency with data mining, mathematics, and advanced statistical analysis; strong communication and interpersonal skills.

This role offers a competitive salary and benefits package, including opportunities for professional growth and development.

Please note that this job description is subject to change, and the company reserves the right to modify or terminate the role at any time.

We are seeking a highly skilled and experienced data science leader to join our team. As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in driving data-driven decision-making and achieving transformative business growth.

• Lead the strategic vision for harnessing data to refine and enhance logistics operations, identifying key opportunities for process optimization, cost reduction, and service quality improvements.
• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights.
• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams, ensuring that data science projects are integrated with and supportive of overall business strategies.
• Guide, mentor, and develop a highly skilled team of data scientists and data analysts, setting clear performance goals, facilitating professional development opportunities, and fostering a supportive and innovative work environment.

This is an exceptional opportunity to leverage your expertise in data modeling, dimensional design, experiment design, and statistical analysis to drive business growth and improvement.

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.
• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields.
• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.

We are a leading on-demand food and Q-commerce app for everyday deliveries, offering convenience and reliability to our customers. We are committed to simplifying everyday life for our customers, optimizing operations for our restaurants and local shops, and providing our riders with reliable earning opportunities daily.

A software development company is looking for a talented, long-term Lead DS Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

We're looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we're looking for :

• Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
• Solid experience with deep learning frameworks like PyTorch or TensorFlow;
• Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
• Familiarity with medical or life science data is a strong plus;
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with :

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits :

• Join a mission-driven team working at the intersection of data, medicine, and impact;
• Work on meaningful challenges with long-term value for public health and healthcare quality;
• Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
• Fully remote-friendly setup with flexibility and trust at the core.

We are Reckitt, home to the world's best-loved and trusted hygiene, health, and nutrition brands. Our purpose is to protect, heal, and nurture in the pursuit of a cleaner, healthier world. Join our global team to make access to high-quality hygiene, wellness, and nourishment a right, not a privilege.

Sales

Our Sales teams help deliver Reckitt's purpose by building success with our customers, ensuring access to quality products both in-stores and online. With around 10,000 salespeople worldwide, our teams operate across fields such as Field Sales, Key Accounts, Trade Marketing, and Category Development in a fast-paced, collaborative environment.

About the role

We are a data-driven organization, placing analytics at the core of decision-making to empower business growth. This role involves transforming data into strategic advantages within our eCommerce ecosystem. You will lead efforts to embed data and AI into business processes, working closely with leaders, data scientists, and engineers to optimize data collection, modeling, analysis, and reporting. Your work will focus on understanding consumer behavior, optimizing digital marketing, and driving commercial results, leading a team of analysts and developers to solve business problems using AI and analytics.

Responsibilities

• Deliver insights through visualizations and narratives that translate analytics into business actions.
• Analyze sales and digital marketing data to optimize spend and ROI.
• Build and refine machine learning models, including explainable ML techniques.
• Design elasticity and price optimization models for digital channels.
• Create innovative AI solutions to address business challenges.
• Develop experimental frameworks like A/B testing for continuous improvement.
• Manage eCommerce dashboards to support decision-making.
• Lead and mentor a team of analysts and BI developers.
• Develop a BI and digital transformation strategy integrating diverse data sources.
• Promote a culture of data-driven decision-making across teams.

Experience required

• Bachelor's or Master's in Engineering, Computer Science, or related fields; an advanced degree is preferred.
• Minimum 6+ years in data science, with at least 3+ years in leadership roles.
• Proven leadership in managing diverse teams and strategic planning.
• Hands-on experience with elasticity and price optimization models.
• Strong collaboration and communication skills.
• Ownership, accountability, and commitment to high-quality results.
• Proficiency in Python, R, SQL, and data analysis lifecycle.
• Expertise in data modeling, ML algorithms, and AI strategy execution.
• Experience with Power BI, Excel, cloud platforms, and version control.

Skills for success

Experience in eCommerce and sales data analysis is essential.

What we offer

We support our employees through inclusive practices, wellbeing benefits, share plans, and performance incentives. We believe in potential over perfection and are committed to diversity and equality in our hiring practices.