Your AI career in the UAE starts here

Our client is looking for a VP of Software Engineering. This position is designed for a senior engineering leader who thrives in transformation environments. As VP of Engineering, you will act as the organisation’s top engineering authority, with full ownership of the function, spanning execution, organisational design, global delivery models, AI integration, platform strategy, and capability building.1. Engineering Operations & DeliveryOptimise the software development lifecycle (SDLC) end-to-endImprove QA processes, release cycles, and production reliabilityIncrease deployment efficiency and code quality standardsIntroduce clear metrics, accountability, and delivery discipline2. Squad Design & Team RestructuringRestructure the existing team into 3–5 high-performing squadsDefine roles, responsibilities, and squad ownership modelsIdentify skill gaps, underperformance, and restructuring needsBalance upskilling vs selective replacement within budget constraints3. Engineering Performance UpliftDrive a culture of high standards and accountabilityImprove output per engineer without increasing headcountMentor Engineering Managers and senior engineersBuild a clear understanding of who owns what and why4. Technical Improvement PrioritiesStabilise and improve payment systemsDrive architecture improvements and modernisationBuild/upgrade data infrastructure for analytics and decision-makingImplement iterative, pragmatic rebuild strategies (not big bang)We are seeking an engineering leader who has the following:15+ years in software engineering, with at least five years in a senior engineering leadership role (VP, Head of Engineering, or equivalent) spanning multiple teams or geographies.Proven track record of transforming underperforming teamsStrong experience managing multiple squads (3–5+)Deep understanding of engineering operations & SDLC optimisationHands-on technical background (able to challenge architecture decisions)Hands-on involvement in AI/ML engineering programmes or AI-driven developer productivity initiatives.Experience in consumer technology, marketplace, or multi-sided platform businesses strongly preferred. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingUnderstanding our business and its processes through our dataApplying this understanding and knowledge of data to help product and services teamsDesigning key metrics to measure different aspects of the businessCreating and maintaining new aggregated views and tables to simplify data queryingMaintaining and creating new dashboards to track metrics and visualise insightsPromoting data literacy across the company, organising and holding workshopsWhat You'll NeedExperience in an analytical role creating impactful solutionsA background/education in a quantitative disciplineGreat skills with Python, SQL or other programming languagesEvidence of solid mathematical and statistics knowledgeExperience in the financial services/banking industryNice to haveAn advanced degree in a core STEM subjectExpertise with additional programming languages (Java, Scala, C++, etc.)Experience in accountingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Job DescriptionA research assistant position in Machine Learning Edge Accelerators is available in the Departments of Electrical and Communication Engineering, United Arab Emirates University, UAE. The RA candidate will develop an embedded system for on-device using machine learning (ML) capabilities. The RA will design, implement, and test innovative ML edge hardware accelerators within the stringent power, footprint, processing, and storage constraints.Minimum Qualification Applicants must hold a BSc. degree or equivalent degree in electrical engineering, computer engineering. - Applicants must have prior experience in machine learning, embedded systems, and edge devices.Preferred Qualification Experience in machine learning, embedded systems, and edge devices. - Prior publications in machine learning, embedded systems, and edge devices.Special Instructions to ApplicantSubmit a detailed CVClose Date Kindly apply before the closing date.01/05/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

About the OpportunityA UAE-based organization is seeking a Junior Data Scientist to support data-driven initiatives and business insights. Key ResponsibilitiesCollect, clean, and preprocess structured and unstructured datasetsPerform exploratory data analysis to identify trends and actionable insightsDevelop and evaluate basic machine learning modelsCreate reports, dashboards, and visualizations for stakeholdersCollaborate with internal teams to support business and analytical needsDocument workflows, methodologies, and findings.RequirementsBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related fieldProficiency in Python (Pandas, NumPy, Scikit-learn)Working knowledge of SQL and database queryingFamiliarity with data visualization tools such as Power BI or TableauUnderstanding of fundamental machine learning conceptsStrong analytical thinking and problem-solving skillsGood communication skills in EnglishPreferred QualificationsInternship, academic, or project experience in data science or analyticsExposure to cloud platforms such as AWS, Azure, or GCPFamiliarity with Git or other version control systemsWhat’s OfferedRemote work flexibility within the UAEOpportunity to gain hands-on experience on real-world data projectsProfessional growth and development opportunities Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.14/04/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less