data engineering

Huspy

<div>
 <strong>
  The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
  <br/>
  <br/>
 </strong>
 Huspy is one of the leading property technology companies in EMEA.
 <br/>
 <br/>
 Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.
 <br/>
 <br/>
 We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 <br/>
 <br/>
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.
 <br/>
 <br/>
 We&rsquo;re not slowing down. The question is: will you be part of what&rsquo;s next?
 <br/>
 <br/>
 <strong>
  The Main Event: What You&rsquo;ll Drive, Build, and Own
  <br/>
  <br/>
 </strong>
 You will be working closely with Product, Data, and Engineering teams responsible for developing and enhancing AI-powered solutions across our Real Estate Agent Platform and Mortgage Broker Portal. You'll leverage modern machine learning technologies and cloud infrastructure to build intelligent, data-driven products in an innovative and collaborative environment.
 <br/>
 <br/>
 <strong>
  Tech stack:
 </strong>
 Python, PostgreSQL, AWS, FastAPI
 <br/>
 <br/>
 <strong>
  Hands-On Engineering:
 </strong>
 Contribute to the development, deployment, and optimisation of machine learning models and AI-driven services. Take ownership of key technical deliverables while leading by example in engineering best practices.
 <br/>
 <br/>
 <strong>
  Machine Learning Excellence:
 </strong>
 Drive best practices in machine learning development, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring. Ensure solutions are scalable, reliable, and maintainable in production environments.
 <br/>
 <br/>
 <strong>
  Stakeholder Collaboration:
 </strong>
 Work closely with Product, Data, Design, and Engineering teams to identify opportunities for AI-driven innovation, translate business requirements into technical solutions, and deliver measurable impact.
 <br/>
 <br/>
 <strong>
  The Perfect Match: What It Takes to Succeed at Huspy
  <br/>
  <br/>
 </strong>
 <strong>
  AI/ML Engineering Experience:
 </strong>
 Strong technical background in Python and machine learning, with a passion for building intelligent products and solving complex data-driven challenges.
 <br/>
 <br/>
 <strong>
  Product-Focused Mindset:
 </strong>
 Ability to work cross-functionally and collaborate with Product, Data, and Engineering teams to deliver impactful AI-powered solutions that enhance customer experiences and business outcomes.
 <br/>
 <br/>
 <strong>
  Technical Expertise:
 </strong>
 Experience developing and deploying machine learning models using Python and modern ML frameworks. Strong knowledge of data processing, model lifecycle management, APIs, CI/CD, cloud platforms (AWS preferred), and production-grade software engineering practices. Experience in AI development practices and tools is a must-have.
 <br/>
 <br/>
 <strong>
  Data &amp; Machine Learning Knowledge:
 </strong>
 Experience working with structured and unstructured data, feature engineering, model evaluation, experimentation, and performance optimisation. Familiarity with MLOps practices and model monitoring is highly desirable.
 <br/>
 <br/>
 <strong>
  Collaborative Attitude:
 </strong>
 Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders while fostering an inclusive, engaging team environment.
 <br/>
 <br/>
 <strong>
  Work Setup:
 </strong>
 Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai, if preferred.
 <br/>
 <br/>
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
 <br/>
 <br/>
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>


AI Engineer

Dyson

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About the role
 </strong>
 <strong>
  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.
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </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

Eaton

<div><div>Join Our Team at Eaton: Empowering Tomorrow, Today!
</div><div></div><div>Dubai serves as a strategic hub for Eaton&rsquo;s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long ‑term investment in growth, collaboration, and capability building.
</div><div></div><div><b>About Us:
</b></div><div>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.<br>
</div><div></div><div><div><p>Eaton is seeking a <b>Senior Electrical Design Engineer </b>to join its <b>Global Data Centre Design &amp; Engineering team </b>, supporting mission‑critical data centre projects worldwide.<br>
</p><p></p><p>In this role, you will shape <b>global electrical reference designs and engineering standards </b>, while working directly on high‑impact projects across multiple regions. You&rsquo;ll support data centre programmes from <b>concept through detailed design </b>, partnering closely with global customers and internal engineering teams.<br>
</p><p></p><p>This position offers a unique mix of <b>hands‑on electrical design </b>and <b>global technical leadership </b>, operating across both <b>IEC and North American standards (NEC, NFPA, IEEE, UL) </b>. You&rsquo;ll play a key role in ensuring consistent, high‑quality engineering delivery while contributing to Eaton&rsquo;s long‑term data centre strategy.<br>
</p></div></div><p></p><div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll do:
</b></h2></div><div><p><b>Electrical Design &amp; Engineering
</b></p><ul><li>Lead and contribute to electrical system design for mission‑critical facilities, including hyperscale and enterprise data centres.
</li><li>Develop MV and LV designs, covering distribution, transformers, UPS, protection, and grounding systems.
</li><li>Support all design stages from concept to detailed design across multiple client accounts.
</li><li>Perform core engineering tasks including calculations, equipment selection, and technical validation.
</li><li>Prepare technical proposals and engineering documentation.
</li><li>Lead and participate in internal and client‑facing technical meetings.
</li></ul><p><b>Global Engineering Responsibilities
</b></p><ul><li>Support the development and maintenance of global electrical reference designs and architectures.
</li><li>Contribute to the definition and rollout of global engineering standards and guidelines.
</li><li>Drive alignment and consistency of electrical practices across regions.
</li><li>Participate in cross‑regional coordination and peer reviews.
</li><li>Provide technical guidance and mentoring to regional teams.
</li><li>Represent Eaton&rsquo;s electrical expertise with customers and engineering partners.
</li><li>Support resolution of complex, multi‑region engineering challenges.
</li></ul><p><b>Strategic Global Account Support
</b></p><ul><li>Provide engineering support to strategic global data centre customers across regions.
</li><li>Support development of client‑specific reference designs and standards.
</li><li>Participate in technical engagements with customers and partners.
</li><li>Support engineering coordination for large, multi‑region programmes.
</li><li>Contribute to long‑term technical partnerships with key accounts.
</li></ul><p><b>Modular and Digital Engineering Integration
</b></p><ul><li>Support electrical integration for modular and prefabricated data centre solutions.
</li><li>Contribute to repeatable designs and reference architectures.
</li><li>Support BIM‑led workflows, collaborating closely with BIM and digital engineering teams.
</li><li>Assist in the development of standardised modular electrical platforms.
</li></ul><p><b>Technical Governance &amp; Quality
</b></p><ul><li>Review and validate deliverables to ensure technical accuracy and compliance.
</li><li>Support QA/QC processes across global projects.
</li><li>Ensure compliance with Eaton standards and customer requirements.
</li><li>Support technical risk identification and mitigation.
</li><li>Participate in structured design reviews to maintain quality and safety.
</li><li>Collaboration with R&amp;D and Advanced Architecture Teams
</li><li>Collaborate on new data centre electrical architectures and emerging approaches.
</li><li>Provide engineering input to transition concepts into deployable solutions.
</li><li>Support handover of validated architectures into global reference designs.
</li><li>Provide project feedback to support continuous improvement.
</li></ul><p><b>Project and Site Support
</b></p><ul><li>Provide remote engineering support and conduct site visits as required.
</li><li>Perform on‑site inspections to verify installations.
</li>Support validation and commissioning during project handover and close‑out.<br>
<li>
</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Qualifications:
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in Electrical Engineering required; Master&rsquo;s degree preferred.
</li><li>Proficiency with electrical design tools such as AutoCAD and Revit is an advantage.
</li><li>Minimum 10 years&rsquo; experience in electrical engineering design within mission‑critical or comparable environments.
</li><li>Strong expertise across MV and LV systems, including distribution, transformers, UPS, grounding, and protection schemes.
</li><li>In‑depth knowledge of international electrical codes and standards, including NEC, NFPA, IEEE, UL, and IEC.
</li><li>Demonstrated capability in value engineering and applying emerging technologies to deliver efficient, innovative solutions.
</li><li>Excellent written and verbal communication skills.
</li><li>Self‑driven, proactive, and capable of independent ownership of objectives and deliverables.
</li>High professional standards with a strong commitment to safety, quality, and environmental responsibility.<br>
<li>
</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Skills:
</b></h2></div><div><ul><li>Strong analytical and technical problem‑solving capabilities.
</li><li>Proven ability to collaborate effectively within global, cross‑functional engineering teams.
</li><li>Clear and confident communication skills, both technical and client‑facing.
</li><li>Structured, detail‑oriented approach to engineering and design execution.
</li><li>Ability to work independently while contributing to global objectives.
</li>Demonstrated strength in cross‑regional and multi‑disciplinary collaboration.<br>
<li>
</li></ul><p></p><p>#LI-SA2
</p></div></div></div><div><b>Living and Working in Dubai:
</b></div><div><p>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
</p><p>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.<br>
</p></div><p></p><p>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</p></div>

Lead Electrical Design Engineer - Global Data Center

<div>
 Join Our Team at Eaton: Empowering Tomorrow, Today!
 <br/>
 <br/>
 Dubai serves as a strategic hub for Eaton&rsquo;s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.
 <br/>
 <br/>
 Eaton is seeking a
 <strong>
  Senior Electrical Design Engineer
 </strong>
 to join its
 <strong>
  Global Data Centre Design &amp; Engineering team
 </strong>
 , supporting mission‑critical data centre projects worldwide.
 <br/>
 <br/>
 In this role, you will shape
 <strong>
  global electrical reference designs and engineering standards
 </strong>
 , while working directly on high‑impact projects across multiple regions. You&rsquo;ll support data centre programmes from
 <strong>
  concept through detailed design
 </strong>
 , partnering closely with global customers and internal engineering teams.
 <br/>
 <br/>
 This position offers a unique mix of
 <strong>
  hands‑on electrical design
 </strong>
 and
 <strong>
  global technical leadership
 </strong>
 , operating across both
 <strong>
  IEC and North American standards (NEC, NFPA, IEEE, UL)
 </strong>
 . You&rsquo;ll play a key role in ensuring consistent, high‑quality engineering delivery while contributing to Eaton&rsquo;s long‑term data centre strategy.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Electrical Design &amp; Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and contribute to electrical system design for mission‑critical facilities, including hyperscale and enterprise data centres.
  </li>
  <li>
   Develop MV and LV designs, covering distribution, transformers, UPS, protection, and grounding systems.
  </li>
  <li>
   Support all design stages from concept to detailed design across multiple client accounts.
  </li>
  <li>
   Perform core engineering tasks including calculations, equipment selection, and technical validation.
  </li>
  <li>
   Prepare technical proposals and engineering documentation.
  </li>
  <li>
   Lead and participate in internal and client‑facing technical meetings.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Global Engineering Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the development and maintenance of global electrical reference designs and architectures.
  </li>
  <li>
   Contribute to the definition and rollout of global engineering standards and guidelines.
  </li>
  <li>
   Drive alignment and consistency of electrical practices across regions.
  </li>
  <li>
   Participate in cross‑regional coordination and peer reviews.
  </li>
  <li>
   Provide technical guidance and mentoring to regional teams.
  </li>
  <li>
   Represent Eaton&rsquo;s electrical expertise with customers and engineering partners.
  </li>
  <li>
   Support resolution of complex, multi‑region engineering challenges.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strategic Global Account Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide engineering support to strategic global data centre customers across regions.
  </li>
  <li>
   Support development of client‑specific reference designs and standards.
  </li>
  <li>
   Participate in technical engagements with customers and partners.
  </li>
  <li>
   Support engineering coordination for large, multi‑region programmes.
  </li>
  <li>
   Contribute to long‑term technical partnerships with key accounts.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Modular and Digital Engineering Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support electrical integration for modular and prefabricated data centre solutions.
  </li>
  <li>
   Contribute to repeatable designs and reference architectures.
  </li>
  <li>
   Support BIM‑led workflows, collaborating closely with BIM and digital engineering teams.
  </li>
  <li>
   Assist in the development of standardised modular electrical platforms.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Governance &amp; Quality
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and validate deliverables to ensure technical accuracy and compliance.
  </li>
  <li>
   Support QA/QC processes across global projects.
  </li>
  <li>
   Ensure compliance with Eaton standards and customer requirements.
  </li>
  <li>
   Support technical risk identification and mitigation.
  </li>
  <li>
   Participate in structured design reviews to maintain quality and safety.
  </li>
  <li>
   Collaboration with R&amp;D and Advanced Architecture Teams
  </li>
  <li>
   Collaborate on new data centre electrical architectures and emerging approaches.
  </li>
  <li>
   Provide engineering input to transition concepts into deployable solutions.
  </li>
  <li>
   Support handover of validated architectures into global reference designs.
  </li>
  <li>
   Provide project feedback to support continuous improvement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Project and Site Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide remote engineering support and conduct site visits as required.
  </li>
  <li>
   Perform on‑site inspections to verify installations.
  </li>
  <li>
   Support validation and commissioning during project handover and close‑out.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Electrical Engineering required; Master&rsquo;s degree preferred.
  </li>
  <li>
   Proficiency with electrical design tools such as AutoCAD and Revit is an advantage.
  </li>
  <li>
   Minimum 10 years&rsquo; experience in electrical engineering design within mission‑critical or comparable environments.
  </li>
  <li>
   Strong expertise across MV and LV systems, including distribution, transformers, UPS, grounding, and protection schemes.
  </li>
  <li>
   In‑depth knowledge of international electrical codes and standards, including NEC, NFPA, IEEE, UL, and IEC.
  </li>
  <li>
   Demonstrated capability in value engineering and applying emerging technologies to deliver efficient, innovative solutions.
  </li>
  <li>
   Excellent written and verbal communication skills.
  </li>
  <li>
   Self‑driven, proactive, and capable of independent ownership of objectives and deliverables.
  </li>
  <li>
   High professional standards with a strong commitment to safety, quality, and environmental responsibility.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and technical problem‑solving capabilities.
  </li>
  <li>
   Proven ability to collaborate effectively within global, cross‑functional engineering teams.
  </li>
  <li>
   Clear and confident communication skills, both technical and client‑facing.
  </li>
  <li>
   Structured, detail‑oriented approach to engineering and design execution.
  </li>
  <li>
   Ability to work independently while contributing to global objectives.
  </li>
  <li>
   Demonstrated strength in cross‑regional and multi‑disciplinary collaboration.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Living And Working In Dubai
  <br/>
  <br/>
 </strong>
 Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
 <br/>
 <br/>
 At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.
 <br/>
 <br/>
 We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
 <br/>
 <br/>
</div>


TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About the role
 </strong>
 <strong>
  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.
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 Job Details
 <br/>
 <br/>
 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/
 <br/>
 <br/>
 Sector: Appliances Electrical and Electronics Manufacturing
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 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>


Amazon Web Services (AWS)

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 AWS have an exciting Design Electrical Engineer opportunity in Dubai available for a UAE national with family book. AWS are committed to contributing towords the UAE goal of employing 75000 Emiratis in the private sector and Ministerial Resolution No.279.
 <br/>
 <br/>
 In this role you will lead design projects in operational data centers, that remediate issues, upgrade our existing infrastructure and add new services. You will be the 'go to' engineering resource for these projects and will provide lifecycle support from design through implementation.
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 <br/>
 Key job responsibilities
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <strong>
  You Will Use Your Electrical Expertise To
  <br/>
  <br/>
 </strong>
 Perform design and equipment submittal review for Data Centers in your region.
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 <br/>
 Interface with internal and external data center design engineering team, server hardware team, environmental health and safety team, field engineering, and controls engineering to promote standards that maintain consistency and reliability in services delivered.
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 <br/>
 Work on concurrent projects, sometimes in multiple geographical regions and act as a technical subject matter expert for your given discipline.
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 Support construction, commissioning, operations, and turnover. Are detail and data oriented with familiarity with design/construction processes
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 <br/>
 Have experience managing engineering projects and engineering consultants. Build trust and relationships with different stakeholders (e.g., Operations, Commissioning, Construction and Design)
 <br/>
 <br/>
 A day in the life
 <br/>
 <br/>
 Each day you will interact with different teams responsible for various aspects of the data centers. You will mentor and oversee the work of junior engineers in your discipline. You will have the opportunity to work on projects locally and globally, with up to 25% travel.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 <br/>
 <br/>
 You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 <br/>
 <br/>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
  </li>
  <li>
   Bachelor's degree in Electrical Engineering or a related field
  </li>
  <li>
   Experience as a resident engineer or hands-on design consultant
  </li>
  <li>
   Experience researching new designs, technologies, and construction methods of data center equipment and facilities
  </li>
  <li>
   Knowledge of mechanical or electrical systems design
  </li>
  <li>
   UAE National with family book
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional Engineer License
  </li>
  <li>
   Experience with building codes and regulations for your region
  </li>
  <li>
   Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals
   <br/>
   <br/>
  </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon Data Services Emirates LLC - Dubai Branch
 <br/>
 <br/>
 Job ID: A10399940
</div>


Project Design Elec Engineer , (UAE National Only) Fleet Remediation Engineering - EMEA

<div><div>Join Our Team at Eaton: Empowering Tomorrow, Today!
</div><div></div><div>Dubai serves as a strategic hub for Eaton&rsquo;s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building.
</div><div></div><div><b>Eaton's Global Data Center Segment </b>is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.<br>
</div><p></p><p>Eaton is seeking a <b>Senior Data Centre Electrical Design Engineer </b>to provide technical expertise and leadership in the design, development, and implementation of electrical systems and solutions. This role requires a deep understanding of electrical engineering principles and a proven track record of solving complex technical challenges. The successful candidate will work closely with cross-functional teams to ensure the delivery of high-quality, innovative electrical solutions.<br>
</p><p></p><div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll do:<br>
</b></h2></div><p></p><div><ul><li>Provide technical engineering leadership and expertise in the design and development of LV, MV, UPS, energy storage and other applicable data centre electrical systems and solutions.
</li><li>And Conduct detailed technical engineering analyses and provide recommendations for improving electrical systems and processes.
</li><li>Focussed on early Eaton system approvals by vendors (AVL) for programmatic buys.
</li><li>Adhoc supports on technical engineering system design support for customers.
</li><li>Collaborate with cross-functional teams, including Design &amp; Bid, engineering, operations, and sales, to ensure the successful implementation of electrical projects.
</li><li>Stay up-to-date with the latest industry trends and technologies to drive innovation in electrical design.
</li><li>Continuously improve processes and methodologies to enhance the efficiency and effectiveness of electrical design and implementation.
</li><li>Working with local agencies having jurisdiction to ensure compliance with IEC, EU requirements and building codes.
</li><li>Defining project scope and provide technical support for information requests prior to, and during construction phases.
</li><li>Drive innovation and push boundaries in Eaton&rsquo;s Data Centres design offering by staying up-to-date with the latest research, industry trends and technologies.
</li><li>This an external facing role and the candidate will be representing Eaton as an Industry solutions expert. The person needs to develop trusted and influential relationships with Clients, Consultants, Partners and Industry peers.
</li><li>Contribute &amp; Support marketing campaigns &amp; activities that can promote Eaton to Client relations and business.
</li><li>Ability to work on concurrent projects.
</li>Support for site review and work with onsite field engineers, as well as provide engineering evaluations, electrical systems audits, and startup as needed.<br>
<li>
</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Qualifications:
</b></h2></div><div><ul><li>Bachelor&rsquo;s degree in electrical / electronics engineering
</li><li>+8 years' experience in Data center systems design engineering
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Skills:
</b></h2></div><div><ul><li>Excellent analytical, problem-solving, and communication abilities.
</li><li>Customer-oriented mindset with a strong technical advisory approach.
</li><li>Familiarity and experience working to NPFA 70 &amp; UL design standards is highly desirable.
</li><li>Proficiency in English (Arabic is a plus).
</li></ul><p>#LI-SA2
</p></div></div><div><div><h2 class="jobSectionHeader"><b>What we offer:
</b></h2></div><div><ul><li>Competitive compensation and benefits, aligned with your experience and impact.
</li><li>Opportunity to work on challenging, high‑impact projects within a dynamic and collaborative team environment.
</li><li>Your aspirations matter &ndash; Eaton actively supports internal mobility and promotes from within whenever possible.
</li><li>Your growth matters &ndash; We invest in long‑term development through continuous learning, upskilling, and global programs via Eaton University.
</li><li>Your contributions matter &ndash; Reliability, safety, efficiency, and sustainability are at the heart of what we do, driving meaningful impact on people&rsquo;s lives and the environment.
</li>Your wellbeing matters &ndash; Health, safety, and wellness are a priority. At Eaton, wellbeing goes beyond programs, empowering employees with the tools and environment to thrive.<br>
<li>
</li></ul></div></div></div><p></p><p><b>Living and Working in Dubai
</b></p><p>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
</p><p>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.<br>
</p><p><br>
<b><i>Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!<br>
</i></b></p><p></p><p>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</p></div>

Senior Data Centre Electrical Design Engineer

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