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mathematics teacher

Ambassador Kindergarten

We are seeking a resourceful, qualified, and experienced Mathematics Teacher to join our school.Interested candidates must hold a Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics. A B.Ed. qualification will be an added advantage.Job Type: Full-time

Primary Mathematics Teacher

Yaqut AlBahr

<ul><li>Looking for expert tutors</li><li>Can go to students home to teach</li><li>Must be well versed with all the curriculums</li><li>Maths and Science Experts</li><li>IGCSE, IB, AMERICAN, ALEVELS</li></ul>Job Type: Part-timeWork Location: In person

Math and Science Teacher

The Princeton Review Middle East

About the Job OpportunityScore Plus is hiring Math Trainer to join The Princeton Review&rsquo;s Test Preparation Academic Team in the Emirates of Dubai to teach test-prep skills and strategies to help students maximize their potential and gain admission to their dream universities. You might be a strong presenter and discussion leader, or you could even have experience teaching and tutoring. Either way, our superior training and comprehensive curriculum will give you the skills you need to lead and support students through their test prep. If you're interested in helping students improve their test scores, work for a company with a history of helping students gain acceptance into the university of their dreams by improving their SAT, ACT, GMAT and GRE scores!As a Math Instructor, you will be expected to:<ul><li>Instruct students in a dynamic and supportive manner, adapting to students&rsquo; needs and keeping them engaged with the Princeton Review material</li><li>Motivate your students through a results oriented, time-tested Princeton Review curriculum in order to build stronger, more confident learners and test-takers</li><li>Model professionalism and accountability at all times by showing up to class on time, replying to students in a timely manner, and holding students accountable for assignments</li><li>Create an open, safe, and positive learning environment</li><li>Conduct presentations at local institutions such as schools, universities and corporates</li><li>Participate in The Princeton Review&rsquo;s professional development workshops and staff meetings as scheduled</li></ul>Requirements<ul><li>B.E / B.Tech. / MBA /M.Sc.</li><li>95 Percentile Scores in GMAT/GRE/SAT Tests</li><li>Minimum 2 years of teaching or tutoring experience with strong credentials</li><li>Must be willing to work extended hours (including evenings and weekends), as needed, to meet business objectives</li></ul>About Score Plus &ndash; The Princeton Review, Dubai, UAEFounded in 2002, Score Plus is the Middle-Eastern partner of The Princeton Review (TPR), the world&rsquo;s leading test preparation service provider for Early Edge Math and English Skills, PSAT, SAT, SAT Subject Tests, ACT, AP Exam, GMAT, GRE, LSAT, MCAT, USMLE, TOEFL and IELTS programs and one of the top global publishers of a series of college guide books. The Princeton Review is a US based company established in 1981 and is currently a premium global brand with a strong presence in 41 USA states and 30 countries.Job Type: Full-time

Math Teacher

SkillsHQ child Skills development LLC

Job Posting &ndash; Immediate Hiring English Teacher (Native-Level Speaker) After-School Enrichment CentreDate posted: November 21, 2025Location: Motor City, Dubai (primary Location)+ Dubai Silicon Oasis, Al Furjan(Visiting Location) Type: Full-Time or Part-Time Schedule: Tuesday (3:00 PM &ndash; 6:00 PM) to Saturday (9:00 AM &ndash; 6:00 PM) &ndash; mandatory availability for Part Timers Pay: AED 4,000 &ndash; AED 6,000 per month Package: Fixed Salary + Incentives on Student RenewalsAbout the RoleJoin a leading Dubai after-school enrichment centre specialising in Singapore Maths, English language development, reading comprehension, and academic writing skills for school students.We are looking for a highly skilled English teacher with native-level fluency who can confidently deliver engaging English classes for primary and middle school students through structured after-school programmes.Mandatory Requirements (please apply only if you meet ALL)<ul><li>Native or near-native level English speaker</li><li>2&ndash;4 years teaching experience in the UAE, preferably in a school or after-school learning centre</li><li>Prior teaching or academic experience in the UK, USA, Canada, Australia, New Zealand, or South Africa</li><li>Experience teaching Primary and Lower Secondary English (reading, writing, grammar, comprehension)</li><li>Ability to teach Primary Mathematics (Years 1&ndash;6 / Grades 1&ndash;5) if required.</li><li>Familiar with English after-school enrichment programmes</li><li>Comfortable using digital English teaching content platforms and must demonstrate knowledge/familiarity for the platforms (worksheet libraries, comprehension resources, grammar practice portals, and online learning tools)</li><li>Minimum Bachelor&rsquo;s degree (Education, English, Linguistics, or related field preferred)</li><li>Excellent classroom communication and student engagement skills</li><li>Currently residing in the UAE and available</li><li>Able to work the mandatory schedule: Tuesday (3&ndash;6 PM) and Wednesday&ndash;Saturday (9 AM &ndash; 6 PM)</li></ul>Key Responsibilities<ul><li>Deliver engaging English language classes (group and 1-on-1) for primary and middle school students</li><li>Teach reading comprehension, grammar, vocabulary, writing, and critical thinking skills</li><li>Support students with Primary Mathematics when required</li><li>Use structured after-school English programmes and digital learning platforms</li><li>Track student progress and prepare progress reports for parents and ensure Parent engagement.</li><li>Maintain a positive, motivating, and structured learning environment</li></ul>If you are passionate about developing strong English literacy and communication skills in young learners, we would love to hear from you.Only shortlisted candidates will be contacted for an assessment and interview.Start date: Immediate Location: Motor City, DubaiJob Type: Full-time / Part-timeJob Type: Full-timePay: AED4,000.00 - AED6,000.00 per month

English Language Teacher

NowClasses

Job Opportunity: IGCSE and IBDP Teachers in DubaiAre you a passionate educator looking for a rewarding teaching opportunity in Dubai? Our tutoring institute is seeking experienced and qualified IGCSE and IBDP teachers to join our dedicated team.Requirements:- Post Graduate Degree Required in Relevant Subject.- Good communication skillsTeaching Experience:- Minimum 3 to 5 years of teaching experience with IGCSE and IBDP boards in Relevant Subject.Location and Availability:- Candidates must be locally available in the UAE.- Should be able to travel to JLT and Silicon Oasis, Dubai, for teaching assignments.Benefits:- We offer an attractive package including visa sponsorship and medical insurance provided by the institute.If you meet these qualifications and are passionate about shaping young minds in an engaging learning environment, we encourage you to apply. Join us in making a difference in education!To apply, please submit your CV and a cover letter highlighting your relevant experience and teaching skills.Job Type: Full-timePay: AED6,000.00 - AED6,500.00 per monthWork Location: In person

Maths & Physics Teacher

Job Opportunity: IGCSE and IBDP Teachers in DubaiAre you a passionate educator looking for a rewarding teaching opportunity in Dubai? Our tutoring institute is seeking experienced and qualified IGCSE and IBDP teachers to join our dedicated team.Requirements:- Post Graduate Degree Required in Relevant Subject.- Good communication skillsTeaching Experience:- Minimum 3 to 5 years of teaching experience with IGCSE and IBDP boards in Relevant Subject.Location and Availability:- Candidates must be locally available in the UAE.- Should be able to travel to JLT and Silicon Oasis, Dubai, for teaching assignments.Benefits:- We offer an attractive package including visa sponsorship and medical insurance provided by the institute.If you meet these qualifications and are passionate about shaping young minds in an engaging learning environment, we encourage you to apply. Join us in making a difference in education!To apply, please submit your CV and a cover letter highlighting your relevant experience and teaching skills.Pay: AED6,000.00 - AED6,500.00 per hourWork Location: In person

Computer Science & Maths Teacher

Dyson

<div><h2 class="jobSectionHeader">Summary</h2>
<div><div>Salary:</div>
<div>Competitive</div>
<div>Job Family:</div>
<div>Product Software Engineering</div>
<div>Location:</div>
<div>United Arab Emirates - Dubai Office</div></div></div>
 <div><div><div><div><h2 class="jobSectionHeader">About us</h2>
At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices. 
You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.</div><div><h2 class="jobSectionHeader"> 
</h2></div><div><h2 class="jobSectionHeader">
About the role</h2></div><div><h2 class="jobSectionHeader">
We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.</h2></div><div><h2 class="jobSectionHeader">
</h2></div><div><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.</li><li>
Develop &quot;Human-in-the-Loop&quot; (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.</li><li>
Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or &quot;noisy&quot; data within existing datasets.</li><li>
Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.</li><li>
Model Optimization: Fine-tune &quot;teacher&quot; models to generate high-quality pseudo-labels for &quot;student&quot; models.</li><li>
Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.</li><li>
Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.</li><li>
Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.</li></ul></div><div><h2 class="jobSectionHeader"> 
</h2></div><div><h2 class="jobSectionHeader">
About you</h2><ul><li>
At least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.</li><li>
Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).</li><li>
Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).</li><li>
Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).</li><li>
Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.</li><li>
Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.</li><li>
Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.</li><li>
Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).</li><li>
Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).</li><li>
Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.</li><li>
Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.</li><li>
Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.</li><li>
Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.</li></ul> 
Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.</div></div></div></div>

Data Intelligence Machine Learning Engineer

Explore 74+ Mathematics teacher in Dubai this March. Find roles across top companies and apply now to boost your career.