engineering coordinator

program manager

chef/culinary instructor

computer programmer / software engineer Jobs in Dubai

computer programmer / software engineer

software developer

programming instructor

Al Tief Educational Institute

About the Role: We are seeking a skilled and passionate IT Trainer / Web Developer to join our growing team. The ideal candidate will possess strong technical expertise in programming and web development, coupled with the ability to train and mentor students effectively. This role involves both developing innovative web solutions and delivering high-quality IT and programming instruction.Key Responsibilities:<ul><li>Deliver engaging training sessions in IT, programming, and web development.</li><li>Design, develop, and maintain dynamic web applications and learning tools.</li><li>Guide students through hands-on coding exercises, projects, and assessments.</li><li>Collaborate with the academic team to develop course materials and learning resources.</li><li>Stay updated with the latest technologies and integrate them into teaching and development practices.</li></ul>Key Skills &amp; Requirements:<ul><li>Strong knowledge of programming languages (e.g., Python, Java, C++, JavaScript)</li><li>Proficiency in web development: HTML, CSS, JavaScript, PHP, MySQL (or similar)</li><li>Experience with web frameworks such as Django, React, Angular, or Laravel</li><li>Familiarity with database management and cloud services</li><li>Ability to teach IT and programming concepts effectively</li><li>Strong problem-solving and analytical skills</li><li>Experience in software development and application testing</li><li>Excellent communication and training skills</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (Master&rsquo;s preferred)</li><li>Prior experience in teaching, training, or curriculum development is an advantage</li></ul>Job Type: Full-time

IT Trainer/Web Developer

Solomon People Soluitons

Freelance Trainer for R Programming for Datascience Course : Apply ONLY IF YOU ARE A TRAINER.Course Overview : Today&rsquo;s organizations no longer settle for data collection. They want evidence. They want accountability. They want actionable insights. Whether you are in government evaluating policy outcomes, in an NGO tracking donor-funded projects, or in the private sector optimizing operations, your ability to analyze and present data is directly tied to your credibility. This course transforms R programming from a daunting technical skill into a practical decision-making asset. You don&rsquo;t need to become a statistician to succeed; you need structured guidance, hands-on practice, and a clear understanding of how to apply R in real-world settings. Through live coding, exercises, and applied case studies, you&rsquo;ll learn how to clean messy datasets, explore patterns, run statistical tests, create predictive models, and build visualizations that tell compelling stories. By the end of the training, you will not only know R syntax, but you&rsquo;ll also have the confidence to use R programming for data science in your own professional environment. You&rsquo;ll be able to justify decisions with evidence, generate insights that influence strategies, and communicate findings in a way stakeholders trust. xplore patterns, run statistical tests, create predictive models, and build visualizations that tell compelling stories. By the end of the training, you will not only know R syntax, but you&rsquo;ll also have the confidence to use R programming for data science in your own professional environment. You&rsquo;ll be able to justify decisions with evidence, generate insights that influence strategies, and communicate findings in a way stakeholders trust.Target Audience: This R Programming for Data Science Training is designed for:<ul><li>Data analysts and aspiring data scientists &bull; Managers who want to interpret organizational data effectively &bull; NGO professionals evaluating program outcomes &bull; Finance professionals conducting forecasts and risk analysis &bull; Public sector staff handling policy evaluation and impact studies &bull; Researchers and academics modernizing their data analysis skills &bull; HR and operations managers analyzing workforce data &bull; Marketing and business intelligence professionals tracking campaigns &bull; IT professionals supporting analytics initiatives &bull; Anyone ready to transform data into decisions using R</li></ul>Learning Objectives: This course equips you to analyze, visualize, and model data using R with confidence. By the end, you will be able to:<ul><li>Understand the fundamentals of R programming for data science &bull; Import, clean, and manage complex datasets &bull; Apply descriptive and inferential statistics using R &bull; Create compelling data visualizations with ggplot2 &bull; Conduct regression and predictive modeling &bull; Work with time series and large datasets &bull; Automate repetitive data workflows with scripts &bull; Communicate insights through reproducible R Markdown reports Professional and Organizational Impact</li></ul>When you master R for data science, you unlock the ability to transform data into opportunity. You will:<ul><li>Build in-demand technical skills in R programming Gain confidence in managing large and messy datasets &bull; Reduce reliance on external consultants for data analysis &bull; Strengthen your analytical credibility in professional settings &bull; Enhance your strategic decision-making with evidence &bull; Position yourself as a data-informed leader &bull; Increase career competitiveness in data-driven roles</li></ul>Organizations that embrace R-powered analysis operate smarter, faster, and with more accountability. They gain:<ul><li>Reliable and evidence-based insights for decision-making &bull; Reduced costs by using an open-source alternative to expensive tools &bull; Enhanced transparency and reproducibility of analyses &bull; Stronger program evaluation and monitoring frameworks &bull; Agility in forecasting and scenario modeling &bull; Consistent and professional reporting systems &bull; Improved collaboration across teams through shared R workflows</li></ul>Training Methodology This is a hands-on, outcome-driven training designed to demystify R and make it practical. Expect: &bull; Live coding sessions with step-by-step guidance Practical exercises on cleaning, analyzing, and visualizing data &bull; Group projects applying R to real-world datasets &bull; Visualization workshops using ggplot2 &bull; Case studies from finance, NGOs, and public sector programs &bull; Reflection prompts that connect R skills to your work context Templates and reusable scripts to take back to your organizationCourse OutlineMODULE 1: INTRODUCTION TO R PROGRAMMING &bull; Installing and navigating R and RStudio &bull; Understanding objects, variables, and data structures &bull; Vectors, matrices, lists, and data frames &bull; Scripts vs. R Markdown for analysis &bull; Writing your first R programMODULE 2: IMPORTING AND CLEANING DATA &bull; Reading CSV, Excel, and database files &bull; Handling missing data and outliers &bull; Data wrangling with dplyr &bull; Recoding and transforming variables &bull; Creating automated cleaning pipelinesMODULE 3: EXPLORATORY DATA ANALYSIS (EDA) &bull; Descriptive statistics with R functions &bull; Summarizing and profiling datasets &bull; Identifying patterns, distributions, and outliers &bull; Generating frequency and cross-tab tables &bull; Case study: quick analysis of organizational survey dataMODULE 4: DATA VISUALIZATION WITH GGPLOT2 &bull; Fundamentals of the grammar of graphics &bull; Creating bar, line, and scatter plots &bull; Visualizing distributions and relationships &bull; Customizing themes, labels, and colors &bull; Building dashboards with ggplot extensionsMODULE 5: STATISTICAL ANALYSIS WITH R &bull; Hypothesis testing and p-values &bull; Correlation and association measures &bull; T-tests, chi-square, and ANOVA &bull; Non-parametric methods for non-normal data &bull; Applying inferential statistics to NGO project outcomesMODULE 6: REGRESSION AND PREDICTIVE MODELING &bull; Linear regression for trend analysis &bull; Logistic regression for classification &bull; Model assumptions and diagnostics &bull; Predictive modeling in finance and operations &bull; Communicating regression results to decision-makersMODULE 7: WORKING WITH TIME SERIES DATA &bull; Importing and structuring time series &bull; Identifying seasonality and trends &bull; Forecasting techniques with R &bull; Case study: economic or financial forecasting &bull; Automating recurring time series analysisMODULE 8: BIG DATA AND INTEGRATION &bull; Handling large datasets efficiently &bull; Using R with databases and SQL &bull; Accessing APIs for real-time data &bull; Introduction to R with cloud computing platforms &bull; Connecting R outputs with Excel or BI toolsMODULE 9: REPRODUCIBLE ANALYSIS WITH R MARKDOWN &bull; Creating professional reports with code and outputs &bull; Embedding tables, charts, and models &bull; Automating recurring reports for managers &bull; Customizing templates for organizations &bull; Sharing reports with stakeholdersMODULE 10: CAPSTONE PROJECT: REAL-WORLD DATA CHALLENGE &bull; Defining a problem relevant to your organization &bull; Applying data import, cleaning, and analysis &bull; Visualizing and modeling data with R &bull; Presenting findings in R Markdown &bull; Peer feedback and final reflectionsPlease apply with cv and photographJob Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 40 per week

Trainer for R Programming for Data Science Course

Freelance Trainer for R Programming for Data Science Course

CANADIAN UNIVERSITY DUBAI

<div>The School of Engineering, Applied Science &amp; Technology at Canadian University Dubai (CUD) is is seeking highly qualified part-time faculty members specializing in Computer Science with a great academic track-record of teaching and publications to teach and support our academic programs. The successful candidate will deliver high-quality instruction, maintain academic standards, and contribute to program development on a part-time basis, in alignment with university and UAE Ministry of Higher Education requirements.
Qualifications &amp; Experience:
<ul><li>Completed Ph.D. from an accredited university with a specialization in the Computer Science, Data Mining, Programing, and Information Structure.
</li><li>Minimum of college-level teaching experience.
</li><li>Utilizes innovative teaching strategies.
</li><li>Demonstrated research agenda in the area of expertise.
</li><li>Ability to work collaboratively with a diverse student population.
</li><li>Contacts with industry leaders and ability to expand university-industry partnerships.
</li><li>Evidence of experience with course development.
</li></ul>Please note: Preference will be given to candidates with Canadian affiliation in the form of Canadian qualifications, lecturing at a Canadian University and some form of linkage to Canada/North America.
Key Responsibilities
Teaching and Academic Duties (Part-Time Load):
<ul><li>Teach assigned courses in (up to 6 credit hours per semester; equivalent to 2 courses) in the following specialization:
<ul><li>Math
</li><li>Computer Science
</li><li>Data mining
</li><li>Programming
</li><li>Information structure
</li></ul></li><li>Maintain accurate student records and submit grades to the Registry at midterm and final periods.
</li><li>Revise, update, and file lesson plans for each course taught, within one week of semester start.
</li><li>Deliver and update course syllabi in line with the official template.
</li><li>Recommend learning resources and course materials to enhance student learning.
</li><li>Assist in curriculum review, improvement, and new course development as needed.
</li><li>Supervise independent studies where applicable.
</li>Stay current with developments in the field through professional engagement. 
<li>
</li></ul>Program and Departmental Support:
<ul><li>Serve as subject matter expert in Entrepreneurship.
</li><li>Support the Department Head and Program Chair in ensuring course and program alignment with university and accreditation requirements.
</li><li>Recommend curricular and resource enhancements to the Department Head.
</li>Report equipment and resource needs promptly. 
<li>
</li></ul>Administrative &amp; Community Engagement:
<ul><li>Attend faculty and departmental meetings when requested.
</li><li>Participate in orientation sessions, professional development workshops, and community engagement initiatives.
</li><li>Support the School&rsquo;s accreditation and quality assurance activities.
</li>Represent the University in professional and academic forums as requested. 
<li>
</li></ul>Commitment Required:
This is a part-time teaching position requiring availability for scheduled class hours, limited office hours for student support, and attendance at designated faculty/department meetings.</div>

Computer Science Part Time Faculty

BankByChoice

Key Responsibilities<ul><li>Deliver structured training sessions covering:</li><li>Price action &amp; chart patterns</li><li>Advanced entry/exit strategies</li><li>Fundamental drivers (macro analysis, central banks, news)</li><li>Risk management &amp; psychology</li><li>Customize content using real trading examples, market scenarios, and case studies</li><li>Mentor students in Q&amp;A forums, webinars, or private sessions (optional)</li><li>Assist in refining/updating training content or curriculum if required</li><li>Provide feedback on student performance and progression</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience as a profitable trader or trading coach (minimum 2&ndash;3 years)</li><li>Strong knowledge of platforms like MT4/MT5, TradingView, or cTrader</li><li>Solid grasp of technical indicators, price action, volume, and fundamentals</li><li>Excellent communication and presentation skills</li><li>Prior teaching/training/coaching experience preferred</li><li>Certifications (optional): CFA, CMT, or any trading-specific accreditation</li></ul>What We Offer<ul><li>Flexible hours (evenings or weekends)</li><li>Performance-based incentives / hourly fee</li><li>Exposure to a growing network of traders, fintech projects</li><li>Opportunity to scale into full-time</li></ul>Interested candidates can send their profile to kumar.k@bankbychoice.com as wellJob Types: Full-time, Part-time, PermanentPay: AED2,000.00 - AED2,500.00 per month

FX Mentor | Trading Academic Mentor - Trading Course

Cozymeal

<div></div><div><div><div><div><div>Flexible Schedule</div>
<div>Manage your own calendar and accept bookings that work for your schedule.
</div></div><div></div><div><div>High Earnings</div>
<div>Boost your earnings or replace your full-time job.</div>
</div><div></div><div><div>Full Support</div>
<div>Our team does the marketing for you. We also support you from profile creation to receiving your earnings.
</div></div></div></div><div><h1 class="jobSectionHeader">Chef/Culinary Instructor, Dubai, UAE</h1>
<div>IMPORTANT NOTE: To sign up, please visit: https://www.cozymeal.com/become-a-chef

If you&rsquo;re a Culinary Instructor in Dubai, UAE hoping to grow your business without losing focus on the creative aspects of cuisine, Cozymeal is looking to tap into your talent. Dubai is a playground for foodies and discerning gourmets in search of world-class dining. Your expertise as a chef instructor in Dubai will help eager students explore the bounty in classes you create yourself, centered around the food you love. No matter your specialty, Cozymeal&rsquo;s professional platform will connect you with customers with a zest for exploring the culinary arts with expert guidance. You&rsquo;ll have marketing know-how, tools and resources working for you while you teach cooking classes in Dubai. Helping you grow your business is our specialty! Apply as a culinary instructor in Dubai today.

ABOUT COZYMEAL:

Cozymeal is the #1 platform for culinary experiences &amp; cookware in the US, Canada and around the world. Guests can book everything from cooking classes to corporate team building events to private chef services with local professional chefs. Besides that, guests can also find on Cozymeal other culinary experiences &amp; products, including food tours, mixology classes, wine tastings, cookware and step-by-step recipe videos. Cozymeal&rsquo;s platform is frequently used by consumers and some of the world's top companies in 120+ cities worldwide, and we have been featured in leading publications such as the Washington Post, Los Angeles Times, Fast Company and Thrillist, among others.

ENJOY THE MANY BENEFITS BY JOINING COZYMEAL, INCLUDING:
<ul>
<li>Income potential of up to $12,000/month (some make even more than that!)</li>
<li>Be your own boss</li>
<li>Set your own schedule, decide if you would like to work only 5 hours/week (Part-time) to 40 hours/week (Full-time)
</li><li>Reach new customers</li>
<li>Create and offer your own menus</li>
</ul>
IMPORTANT NOTE: To sign up, please visit: https://www.cozymeal.com/become-a-chef

REQUIREMENTS:
<ul>
<li>Based in Dubai, UAE</li>
<li>Professional culinary background</li>
<li>Access to a venue from which you can host your cooking classes. This venue can also be your home.</li>
</ul>
SUCCESSFUL CHEFS ON COZYMEAL ALSO HAVE:
<ul>
<li>A venue (either your home or a great kitchen space, such as a restaurant or a commercial kitchen) to host your experiences</li>
<li>A comprehensive repertoire and ability to offer a variety of cuisines</li>
<li>Experience hosting cooking classes</li>
</ul>
Location: Dubai, UAE</div></div></div>

Chef/Culinary Instructor

Explore 178+ Programming instructor in Dubai this December. Find roles across top companies and apply now to boost your career.

178 programming instructor jobs IN Dubai

IT Trainer/Web Developer

Trainer for R Programming for Data Science Course

Freelance Trainer for R Programming for Data Science Course

Computer Science Part Time Faculty

FX Mentor | Trading Academic Mentor - Trading Course

Chef/Culinary Instructor

Chef/Culinary Instructor