Your AI career in the UAE starts here

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

Job title: Machine Learning Engineer 1Location: Dubai, UAEAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a (add title) who can help us move even faster.noon’s mission: Every door, every day.What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. As a Machine Learning Engineer (MLE1), Ads, you will be a core individual contributor responsible for the hands-on design, development, and deployment of production-grade Machine Learning models across our Ads division. You will be responsible for delivering high-impact models and deployments that power critical functions like ranking, bidding, and click-fraud detection.This role is deeply technical; you will partner with Product and Engineering teams across noon Ads to turn complex data into competitive advantagesDeeply engage in the technical work: building, training, and deploying production-grade models across our domainsContribute to solving "hard" problems involving relevance, ranking, bidding optimization, and fraud detectionPartner with the broader engineering team to implement optimal deployment strategies for heavy ML workloadsAdhere to and contribute to the standardization of ML Ops and best practices within the teamWhat you'll need:Experience: hands-on experience or relevant internships in Machine Learning or data science is preferredFoundational Knowledge: Strong academic or practical grounding in core machine learning concepts, statistics, and data structuresCoding & Frameworks: Proficiency in Python and familiarity with standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) and SQLGrowth & Collaboration: Eagerness to learn from senior engineers, collaborate across product and engineering teams, and rapidly ramp up on MLOps best practicesTech Stack: Basic exposure to cloud platforms (like GCP) and data processing pipelines.

We're partnered with an organisation looking for a Director of AI to lead the design, development, and deployment of AI capabilities across the business. This isn’t a role for someone who has only adopted off-the-shelf AI tools. They want a hands-on technical leader who has built AI systems from the ground up and taken them into production.This is a chance to shape AI strategy at a senior level while staying close to the technology, and to make a real impact in a fast-moving international environment.The RoleDefine and drive the organisation’s AI strategy, roadmap, and prioritiesLead the architecture, development, and deployment of AI and machine learning solutions, from prototype through to production at scaleBuild, mentor, and grow a high-performing team of AI/ML engineers and data scientistsWork with executive leadership and business stakeholders to find high-value AI opportunities and turn them into working productsSet best practices for model development, evaluation, MLOps, governance, and responsible AIStay current with advances in AI and judge when to build, buy, or partnerWhat We’re Looking ForProven track record of building AI/ML systems: designing, training, fine-tuning, and deploying models in production environmentsDeep technical expertise in areas such as machine learning, deep learning, NLP, LLMs, or computer visionHands-on experience with modern AI frameworks and infrastructure (e.g. PyTorch, TensorFlow, cloud ML platforms, MLOps tooling)Senior leadership experience, including building and managing technical teamsInternational exposure. Experience working in markets such as the US, UK, or Singapore is highly desirableAbility to explain complex technical concepts clearly to non-technical stakeholdersWillingness and enthusiasm to relocate to [Location]What’s on OfferA senior leadership role with genuine influence over AI directionCompetitive salary and benefits packageFull relocation supportThe opportunity to build something meaningful from the ground upInterested?If you’re an AI builder who wants to lead, we’d love to hear from you

ABOUT THE ROLEYou will own the technical architecture of Acxiom's identity graph in MENAT and lead the data science team that works on marketing mix modelling (MMM) and High-Value Audience (HVA) solutions. The role sits between data engineering, data science and leadership. You design how identity data is resolved, governed and activated, then prove its commercial impact to clients.KEY RESPONSIBILITIESID graph architectureOwn the end-to-end design of the ID graph: ingestion, deterministic and probabilistic matching, identity resolution logic, match-rate and precision measurement, and refresh cadence.Define the data model, pipelines and cloud architecture (BigQuery, Snowflake) with data engineers; set standards for scalability, cost and latency.Build privacy-by-design into the graph: consent handling, anonymization/pseudonymization, clean-room integrations, and compliance with UAE PDPL, KSA PDPL and client policies.Evaluate and onboard data partners and match keys; decide build vs. partner vs. buy.Data science leadership (MMM & HVA)Lead delivery of MMM and multi-touch attribution work, including Bayesian MMM, calibration with incrementality tests, and budget optimization.Lead High-Value Audience modelling: propensity, lookalike, CLV and segmentation models activated through the ID graph.Set the team's methodology, code quality and model validation standards; move repeat work into reusable products.People & stakeholdersHire, coach and manage a team of data scientists; set goals and run performance reviews.Partner with client services, sales and product to scope solutions and support pre-sales.Present architecture decisions and model results to clients, the MD and the CEO in clear, decision-ready decks.MUST-HAVE QUALIFICATIONS10+ years in data science, data products or AI, including 3+ years leading teams.Hands-on depth in statistical and machine learning models: regression, Bayesian methods, time series, classification, clustering.Strong coding in SQL and Python; working knowledge of R.Production experience in big data environments such as BigQuery or Snowflake.Hands-on experience with identity resolution, customer data platforms or first-party data matching.Track record of working with data engineering and tech leads to ship data products.Proven delivery in media measurement: MMM, multi-touch attribution or incrementality testing.Strong media domain background: agency, adtech or data-provider experiencePowerPoint narratives for C-level audiences.

Still building models that sit in R&D? It’s time to build production ready modules that move $100M+ in P&L value.We are headhunting a high-impact Head of Data Science to lead large-scale data science model development across core banking domains.What you will do:Own & deploy: Lead end-to-end model delivery, from concept to front-line business adoption.Steer large squads: Direct multi-tiered teams of Senior Managers, Specialists, and a 10+ contractor execution engine per vertical.Translate to value: Sit with C-suite stakeholders, turn commercial challenges into production AI, and prove the ROI.What we are looking for:10+ years in tier-1 banking (retail, risk, or fraud expertise).International track record: Experience in major financial hubs (US, London, Singapore, Paris).Proven production impact: You don't just talk theory you can prove the multi-million-dollar business value you’ve shipped.Builder mindset: High-energy leader ready to guide squads, drive change, and ship models fast.Package: Tax-free package + Performance bonusLocation: Abu Dhabi, UAE (Relocation supported)

Job Summary:We are seeking an experienced Senior AI Architect with strong hands-on expertise in artificial intelligence, machine learning, solution architecture, and enterprise AI integration. The role involves designing, developing, and deploying scalable AI solutions integrated with enterprise platforms, data lakes, APIs, and business applications. The ideal candidate should have experience with AI frameworks and tools such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs, along with cloud technologies, data engineering, and enterprise system integration.Key Responsibilities:Design, develop, and deploy scalable AI and machine learning solutions aligned with business requirements and enterprise architecture standards.Build and implement AI-powered applications using frameworks and platforms such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs.Develop and integrate AI solutions with enterprise platforms such as Salesforce CRM, data lakes, content management systems (CMS), APIs, and legacy applications.Design and implement AI solution architectures, ensuring scalability, performance, reliability, and maintainability.Apply machine learning algorithms, deep learning techniques, natural language processing (NLP), and other AI methodologies to solve complex business problems.Develop and maintain data pipelines, ETL workflows, and data processing solutions to support AI and machine learning applications.Integrate AI systems with enterprise applications and legacy platforms using RESTful APIs, middleware, and other integration technologies.Work with cloud infrastructure and services, particularly Microsoft Azure, to develop, deploy, and manage AI solutions.Implement containerized AI applications using Docker and Kubernetes, following DevOps and deployment best practices.Establish and maintain architecture governance, coding standards, code quality, and technical best practices across AI development initiatives.Ensure data security, privacy, compliance, and responsible AI practices throughout the AI solution lifecycle.Collaborate with data scientists, data engineers, software developers, enterprise architects, and business stakeholders to deliver end-to-end AI solutions.Evaluate emerging AI technologies, frameworks, and tools to identify opportunities for innovation and improve solution effectiveness.Troubleshoot AI application, data pipeline, integration, and deployment issues to ensure reliable production operations.Role Requirements and Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.12–20 years of relevant experience in solution engineering, or solution architecture.6–8 years of relevant experience in AI, machine learning.Proven experience designing, developing, and deploying AI and machine learning solutions in enterprise environments.Strong programming skills in Python, Java, C++, or similar languages, with Python preferred for AI development.Hands-on experience with AI frameworks and platforms such as Hugging Face, LangChain, Microsoft Foundry, and OpenAI APIs.Strong understanding of machine learning algorithms, deep learning, data processing, and AI application development.Experience designing AI solutions integrated with enterprise platforms such as Salesforce CRM, data lakes, CMS platforms, and APIs.Hands-on experience with cloud platforms and services, particularly Microsoft Azure.Familiarity with data pipeline tools, ETL processes, data engineering concepts, and data lakehouse platforms.Experience with RESTful APIs, middleware, enterprise application integration, and legacy system integration.Working knowledge of Docker, Kubernetes, containerization, and DevOps practices.Strong understanding of data architecture, data science principles, and security and privacy considerations in AI systems.Ability to drive architecture governance, code quality, technical standards, and scalable solution design.Strong analytical, troubleshooting, problem-solving, and communication skills.Preferred Qualifications:Experience with Microsoft Fabric and data lakehouse architectures.Experience implementing advanced AI techniques, including reinforcement learning, natural language processing (NLP), and computer vision.Knowledge of Generative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI application development.Familiarity with AI ethics, responsible AI practices, bias mitigation, and model governance.Experience with cloud-based AI services, enterprise data platforms, and AI deployment automation.Knowledge of CI/CD pipelines, infrastructure automation, and monitoring of AI applications in production.Experience working in Agile/Scrum environments and collaborating across cross-functional teams.Strong analytical thinking and problem-solving skills, with the ability to translate complex business problems into effective AI solutions.Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.Leadership capabilities and the ability to guide technical decisions and collaborate effectively with cross-functional teams.Detail-oriented, with a strong focus on delivering secure, high-quality, scalable, and maintainable solutions.Innovative, proactive, and self-motivated, with a willingness to explore emerging AI technologies and drive continuous improvement.Ability to work independently and collaboratively in a dynamic, fast-paced environment with changing business and technical requirements.Why Join Us:Opportunities to work on transformative AI and Generative AI projects with leading global organizations.Continuous investment in learning, upskilling, and professional development.Collaborative work environment with experienced technology professionals.Competitive compensation and comprehensive employee benefits.A culture that encourages innovation, ownership, and career growth.