high school mathematics teacher

ART OF SOUND

Vocal Teacher (Children &amp; Adults) &ndash; Dubai, UAEWe are a growing music school in Dubai and are looking for a passionate Vocal Teacher to join our team from September 2026.Requirements* Bachelor&rsquo;s degree or higher in Music (major in Vocal Performance or Choral Conducting)* Demonstrated experience teaching children and beginner students* English proficiency at B1&ndash;B2 level or higher* Additional languages are a plus* Professional, reliable, punctual, and committed to high teaching standardsApplicants should be able to provide supporting materials such as teaching videos, student performance videos, references, reviews, certificates, or other evidence of their teaching experience and qualifications.We Offer* Full-time, on-site position in Dubai, UAE* Up to 20 lessons per week* Salary: USD 2,000 per month* One-month probation period (paid at 80% of the full salary)* UAE employment visa (2-year visa sponsored by the company)* Basic medical insurance* Paid annual leave in accordance with UAE Labour Law* Company-provided transportation* Official employment and a 2-year contract* Opportunity to become part of a supportive and growing international music schoolHow to ApplyPlease send:* Your CV (r&eacute;sum&eacute;)* Information about your musical education* Details of your teaching experience* Supporting materials (teaching or performance videos, references, reviews, certificates, or other documents demonstrating your qualifications)We look forward to hearing from passionate music educators who enjoy inspiring students of all ages.Pay: AED7,000.00 - AED15,000.00 per monthWork Location: On the road

Vocal teacher

Dyson

<div>
 
 About Us
 
 
 
 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.
 
 
 
 About the role
 
 
 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.
 
 
 Key Responsibilities
 
 
 
 <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 "Human-in-the-Loop" (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 "noisy" 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 "teacher" models to generate high-quality pseudo-labels for "student" 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>
 
 About you
 
 
 
 <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>

Data Intelligence Machine Learning Engineer

GEMS Education

<div>
 
 Job Description
 
 
 
 
 Due to the continued success of GEMS Founders School, Dubai, we are looking to recruit an outstanding Music Teacher to join our team in August 2026.
 
 
 
 This is a fantastic opportunity for an
 
 Early Career Teacher
 
 seeking valuable international exposure, or for a
 
 more experienced educator
 
 looking to take the next step in their career with a world-leading education company and a truly exceptional international school located in the heart of Dubai.
 
 
 
 GEMS Founders School, Dubai
 
 is an accredited as a
 
 British School Overseas (BSO)
 
 and has achieved
 
 Outstanding
 
 judgements across all standards. Our accreditation allows us to offer the
 
 NQT, QTS, and iPGCE programmes
 
 to our teachers through the
 
 TES Institute
 
 . GEMS Founders School, Dubai is a uniquely dynamic environment, and anyone who joins our team has a wonderful opportunity to leave their mark. In line with our school vision, you will be part of a culture that encourages all members of our community to
 
 Grow, Flourish, and Succeed
 
 in everything we do.
 
 
 At
 
 GEMS
 
 , teaching is not just a job; it is a career. Our teachers benefit from free access to world-class professional development programmes and are supported to grow across the global GEMS network. Graduate teachers will benefit from our BSO accreditation and enrolment in our NQT programme, while experienced educators can take advantage of leadership pathways and international progression opportunities. With most of our school leaders promoted from within, GEMS teachers are at the forefront of growth and professional development across our schools worldwide.
 
 
 Dubai offers an outstanding lifestyle and is a vibrant, cosmopolitan city where the sun shines all year round. Teachers here enjoy an inspiring balance of work and leisure, with endless opportunities for travel, cultural experiences, and adventure across the Middle East and beyond.
 
 
 
 What We Offer
 
 
 
 All positions come with a highly competitive package including:
 
 
 <ul>
 <li>
 A tax-free salary
 </li>
 <li>
 Individual fully furnished accommodation
 </li>
 <li>
 Free schooling for children
 </li>
 <li>
 Private medical insurance
 </li>
 <li>
 Annual airfares to your home country
 </li>
 <li>
 End of service gratuity
 
 
 </li>
 </ul>
 GEMS teachers also enjoy complimentary access to the
 
 GEMS Rewards
 
 programme, offering thousands of discounts and two-for-one deals on flights, hotels, restaurants, and retail outlets&mdash;helping your salary go further and enhancing your lifestyle in the UAE.
 
 
 
 Skills Description
 
 
 
 Successful candidates will:
 
 
 <ul>
 <li>
 Embody and role model our core values of Grow, Flourish, and Succeed.
 </li>
 <li>
 Hold a Bachelor of Education or a bachelor&rsquo;s degree in Music with PGCE / PGDE (or equivalent qualification)
 </li>
 <li>
 Have proven experience teaching Music to GCSE &amp; A Level
 </li>
 <li>
 Demonstrate exemplary teaching practice and a passion for continuous improvement
 </li>
 <li>
 Bring a creative and enthusiastic approach to both classroom and wider school life
 </li>
 <li>
 Possess excellent interpersonal and communication skills to work closely with colleagues, students, and parents
 </li>
 <li>
 Have a proven track record of delivering outstanding learning and teaching
 </li>
 <li>
 Be eager to make a positive contribution to our school community through active engagement in extra-curricular and community-based initiatives
 </li>
 </ul>
</div>

Music Teacher - August 2026

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 About the role
 
 
 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.
 
 
 Key Responsibilities
 
 
 
 <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 "Human-in-the-Loop" (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 "noisy" 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 "teacher" models to generate high-quality pseudo-labels for "student" 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>
 
 About you
 
 
 
 <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.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://careers.dyson.com Job Function: Engineering Company Industry/
 
 
 Sector: Appliances Electrical and Electronics Manufacturing
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Step 2 Teaching - Step 2 Recruitment

<div>The Role
Primary Teachers &amp; Early Tears Teachers WANTED
Dubai, UAE (August 2026 Start)
We are recruiting on behalf of an established international school group 3 schools in the UAE. The group is currently seeking experienced and passionate Primary Teacher and an Early Years Teacher to join one of its schools in Dubai for the 2026/27 academic year (starting August 2026)
About the School:
The School is a highly prestigious, co-educational international private school located in the Al Warqa neighborhood of Dubai. Established in 1998 to serve local Emirati families, it has grown into a major institution hosting over 4,000 students from highly diverse global backgrounds
Package Includes:
Tax-free basic salary: 11,000 &ndash; 13,500 AED per month 
Free fully furnished housing 
Free daily transportation 
Comprehensive medical insurance 
Annual Flights
Why Dubai?
Living and working in Dubai offers teachers a chance to experience life in one of the fastest-developing countries in the region. From modern shopping malls and international dining to rich cultural traditions, along with many activities and entertainment to enjoy on your weekends and holidays. Teachers enjoy a unique blend of contemporary lifestyle and affordable luxury lifestyle. With tax-free salaries and generous benefits, it is also an excellent opportunity for both professional growth and financial savings.
Requirements
To be suitable for the role you must have the following:<ul><li>PGCE / BA in the subject you teach / Teachers Licence
</li><li>2 Years post qualifying experience</li><li>Enthusiastic about teaching and learning</li><li>Adaptable and able to embrace change, new cultures and customs</li></ul>
About the company
We focus on recruiting for teaching and educational leadership opportunities overseas, working on behalf of British, American &amp; International schools across the Middle East. We are always on the lookout for qualified and talented teachers and leaders who are looking to continue their career outside of their home country, to explore a new culture and life abroad, whilst enjoying the benefits that come with living and working in the Middle East.
At Step 2 Teaching we aim to work in partnership with our candidates and clients, ensuring the right match for all involved in the recruitment process. We supply to a portfolio of clients within the industry, working hard to ensure successful recruitment solutions and long-term relationships along the way.
With a rich understanding of our practice areas and deep, collaborative relationships with industry leaders, we continually drive top performance in the recruiting sector, delivering a better experience for our clients and candidates alike.</div>

Primary Teachers & Early Years Teacher

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose 
</h5> At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics. 
 
As a Data Scientist Team Lead you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams. 
 
In this role you will:
<div><ul><li>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.
</li><li>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
</li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team. 
<li>
</li></ul></div> 
<h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
 Qualifications:
<div><ul><li>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li></ul></div>Experience:
<div><ul><li>7-10+ years of hands-on experience in the Analytics ecosystem including:
</li></ul></div><div><div><div><div><ul><li>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.
</li></ul><ul><li>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li></ul><ul><li>5-7 years hands-on experience with SQL, R, Python.
</li></ul><ul><li>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li></ul><ul><li>3-5 years hands-on experience building libraries and packages to be re-used by others.
</li></ul><ul><li>3-5 years hands-on experience building DS Solutions for production usage.
</li></ul><ul><li>Team player with a problem-solving attitude.
</li></ul><ul><li>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li></ul><ul><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires. 
<ul><li>
</li></ul></div></div></div></div><div></div> 
Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more.
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Data Scientist Team Lead –

Mytutorpod

Job Title: Female Jordanian Arabic Language Teacher (Full-time/Part-time, Remote)Location: Remote (Work from Home)We are seeking a passionate and dedicated Arabic Language Teacher to join our team. If you&rsquo;re a fluent Arabic speaker with a strong understanding of Arabic grammar and experience teaching students of all ages and levels, we want to hear from you!Key Responsibilities:<ul><li>Teach Arabic grammar, speaking, listening, reading, and writing to students.</li><li>Create and evaluate student assessments, maintaining up-to-date records.</li><li>Foster engaging discussions, reading comprehension, and linguistic analysis.</li><li>Plan lessons and manage student progress with a focus on student engagement and satisfaction.</li></ul>Requirements:<ul><li>Fluent in Arabic and English.</li><li>Minimum of 2 years of teaching experience (Freshers are welcome to apply).</li><li>Bachelor&rsquo;s degree (preferred).</li><li>Strong knowledge of Arabic language and grammar.</li><li>Ability to use technology effectively in the classroom.</li><li>Flexible Hours</li><li>Full time (work hours between 09:00 PM to 07:00 AM).</li><li>Part Time (minimum of 4 hours in between 09:00 PM to 07:00AM</li><li>Reliable internet connection and working laptop.</li><li>Certification in Arabic language (preferred).</li><li>Prior teaching experience (preferred).</li></ul>Perks:<ul><li>Competitive hourly pay of 20 aed per hour.</li><li>Flexible remote work setup.</li><li>Monthly performance reviews based on punctuality, engagement, and teaching quality.</li><li>Self-training resources provided to support your professional growth.</li></ul>Job Types: Full-time, Part-time, Freelance Salary: AED 2000 to AED 4000 Working Days: 6 days per week (1 day off)To apply, please send your resume and answers to the following questions:<ul><li>Do you have a reliable internet connection and working laptop?</li><li>Do you have experience in freelancing?</li><li>Do you hold a certification in Arabic Language or Teaching?</li></ul>Contact: Email: sumbal@mytutorpod.com WhatsApp: +923110006116Join us in shaping the future of Arabic education!Job Types: Full-time, Part-time, ContractPay: AED20.00 per hourEducation:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>English Fluently? (Preferred)</li><li>Arabic Fluently? (Preferred)</li></ul>License/Certification:<ul><li>UAE resident ID card? (Preferred)</li><li>UAE resident Visa? (Preferred)</li><li>UAE bank account under your name? (Preferred)</li><li>Arabic Language and grammar certificate? (Preferred)</li></ul>Work Location: In person

Female Jordanian Tutor for Arabic Language and Grammar ( Remote Job)

Explore 349+ High school mathematics teacher in Dubai this July. Find roles across top companies and apply now to boost your career.

349 high school mathematics teacher jobs In Dubai

Vocal teacher

Data Intelligence Machine Learning Engineer

Music Teacher - August 2026

Data Intelligence Machine Learning Engineer

Primary Teachers & Early Years Teacher

Data Scientist Team Lead –

Female Jordanian Tutor for Arabic Language and Grammar ( Remote Job)