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Role: Head of AIReporting line: CTOSector: Energy / UtilitiesLocation: Abu Dhabi, UAEWe are currnetly representing a major UAE based energy and utility organisation at the forefront of the region's energy transition in recruiting a Head of AI. With large-scale operations spanning power generation, water and renewable assets, the organisation is investing significantly in digital technologies with AI capabilities and digital twin at the core of its strategy to optimise asset performance, reliability and sustainability.The Head of AI will define and lead the organisation's AI agenda across its asset portfolio. This is a build-and-scale leadership role: establishing the strategy, platform and team to bring physics-based and data-driven modelling into daily operations from predictive maintenance and process optimisation to energy efficiency and grid intelligence. The role works closely with operations, engineering, and asset management leadership.Key ResponsibilitiesStrategy & Leadership:Define the AI roadmap across generation, transmission/distribution and water assetsBuild, lead and develop a multidisciplinary team of data scientists, simulation engineers and ML engineersServe as the organisation's senior authority on industrial AI, advising executive leadership on opportunities, investments and risksApplied AI & Digital Twin Delivery:Deliver high-value AI use cases: predictive maintenance, anomaly detection, energy optimisation, demand forecasting and asset lifecycle managementEstablish MLOps practices to move models from pilot to reliable production at scaleEnsure AI solutions meet standards for explainability, safety and operational trust in critical infrastructure environments.Lead the design and deployment of asset, process and system-level digital twins across critical infrastructure.Integrate physics-based simulation, real-time operational data (SCADA, historians, IoT sensors) and machine learning into unified twin environments.Partner with OEMs, engineering firmsband technology vendors to accelerate delivery while building internal capability.Data & Platform Foundations:Shape the industrial data architecture (data historians, time-series platforms, cloud/edge infrastructure) required to support AI workloads and Digital Twin Capability.Champion data quality, governance and interoperability across OT and IT environmentsCollaborate with cybersecurity teams to ensure secure OT/IT integrationStakeholder & Value Management:Build strong partnerships with plant operations, asset management and engineering to drive adoption on the groundDefine and track the business value of the portfolio: availability gains, cost reduction, efficiency and emissions impactRepresent the organisation in industry forums and with government stakeholders on digital energy innovation Experience & Qualification: 15+ years in industrial digital technology, with 7+ years leading industrial AI, digital twin or advanced analytics programmesTrack record in the energy, utilities, oil & gas, or heavy industrial sectors ideally spanning both operations-facing and technology leadership rolesProven experience taking industrial AI/twin initiatives from concept to production at scaleExperience with major industrial platforms (e.g., AVEVA, Bentley, Siemens Xcelerator, GE Vernova, AspenTech, Cognite) and cloud environments (Azure, AWS)Strong understanding of physics-based modelling, simulation and data-driven approaches and when to use each.Solid grasp of industrial data landscapes: SCADA, historians (PI/OSIsoft), IoT, edge computing and OT/IT integrationWorking knowledge of modern ML engineering and MLOps practicesUnderstanding of cybersecurity considerations in critical infrastructure environmentsDegree in Engineering, Computer Science, Physics or a related field; advanced degree preferred

Head of AISmart ManufacturingDubai, United Arab EmiratesPermanent position, on-siteWe are looking for a Head of AI to lead the global enterprise AI agenda, for a company specialising in smart solutions for the utilities industry.RoleDefine the global AI strategyIdentify AI-driven business opportunities across the businessBuild out a Global AI Hub (foundational team already in place)Scale AI solutions across the businessCollaborate with other regions (some travel will be required)Experience required6+ years in technology leadership positionsBeen part of large AI / digital / product transformationsManaged a large team of DS & Engineers both locally and across geographicsExecutive stakeholder engagementTrack record in building AI teams or digital unitsProven background in AI in same or similar industryExperience with modern AI & Data platforms and technologiesPlease apply with your CV and let's arrange a confidential discussion.**Due to high number of applicants, only relevant profiles will be contacted**

Role: AI/ML Engineer (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: $160K - $300K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, AI/ML Engineering to work on a full-time basis. The role involves designing, developing, and deploying machine learning models that drive business outcomes. You will collaborate with cross-functional teams to integrate AI solutions into production systems.Key Responsibilities:• Design, build, and optimize scalable AI/ML models for real-world applications.• Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, and model training.• Collaborate with software engineers to deploy models into production systems with scalability and reliability.• Conduct rigorous testing and validation to ensure model performance and accuracy.• Stay current with advancements in AI/ML research and apply them to improve existing solutions.Required Skills & Qualifications:• Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow or PyTorch.• Strong background in machine learning algorithms, including supervised and unsupervised learning techniques.• Experience with data processing and analysis tools, such as SQL, Pandas, or NumPy.• Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML models.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position provides exposure to high-impact projects with opportunities for professional growth.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

Role: Member of Technical Staff - Frontier AI (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: $600K - $2000K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Frontier AI) to work on a full-time basis. This role focuses on advancing cutting-edge AI models and systems at the frontier of the field. The position involves deep technical contributions to research and development efforts that push the boundaries of current AI capabilities.Key Responsibilities:• Design, implement, and optimize next-generation AI architectures and algorithms.• Lead research initiatives to improve model efficiency, scalability, and performance.• Collaborate with cross-functional teams to integrate AI solutions into production systems.• Publish findings and contribute to technical reports, whitepapers, or conference submissions.• Evaluate and benchmark new AI models, frameworks, and hardware accelerators.Required Skills & Qualifications:• PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.• Proficiency in deep learning frameworks such as PyTorch or TensorFlow.• Strong background in large-scale distributed training and model optimization techniques.• Experience with AI hardware and accelerator architectures (e.g., GPUs, TPUs).• Demonstrated ability to conduct independent research and drive technical projects.• Familiarity with reinforcement learning, generative models, or multi-modal AI systems.• Excellent debugging and analytical skills for complex AI systems.• Ability to communicate technical concepts effectively to diverse audiences.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet industry, contributing to the development of state-of-the-art AI systems that will shape the future of the field. The position includes access to advanced computational resources and collaboration with leading researchers and engineers in the AI community.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

Role: Machine Learning Engineer - Computer Vision (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: Competitive, based on experienceRole Overview:We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals.Key Responsibilities:• Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring.• Translate business objectives into robust ML architectures that accurately capture business logic and context.• Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics.• Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.• Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes.Required Skills & Qualifications:• Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field.• 4+ years of hands-on data science and machine learning development experience.• Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing.• Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.• Strong understanding of data preprocessing, feature engineering, and model tuning.More About the Opportunity:This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

Job OverviewServe as a dedicated Data Scientist within the specialized Miral Destination AI team, working exclusively on initiatives that advance Miral Destination. Analyze Miral Destination data, develop and fine-tune AI and machine learning models, and generate actionable insights that directly support Miral Destination’s business objectives. Partner closely with the ML Ops Engineer to move models from experimentation into production, and report to the Senior Manager AI to ensure all work aligns with the destination’s AI roadmap and priorities.Job ScopeAnalyze Miral Destination datasets to uncover patterns, trends, and opportunities that inform destination decisionsDevelop, train, and fine-tune AI and machine learning models tailored to Miral Destination use casesBuild RAG pipelines, vector databases, and LLM-based solutions on Databricks for Miral Destination applicationsGenerate clear, actionable insights and visualizations that directly support Miral Destination business objectivesCollaborate with the ML Ops Engineer to operationalize models, ensuring they are production-ready and monitoredTranslate requirements from Miral Destination stakeholders, via the Senior Manager AI, into data science deliverablesAlign all work with the enterprise AI architecture, governance, security, and data management standards set by the AI & Data organizationUphold data quality, model performance, governance, and responsible-AI standards across all Miral Destination workCollaborate with AI, Data Engineering, BI, and Enterprise Data teams across DTD to leverage shared capabilities, reusable assets, common platforms, and best practices.Job Essentials3–5 years in Data Science, Machine Learning, or Advanced AnalyticsDemonstrated experience taking models from analysis through to deploymentStrong data analysis, statistical modeling, and machine learning skillsHands-on experience with Python and Databricks (incl. MLflow)AI model development, fine-tuning, and evaluationUnderstanding of RAG, LLMs, and vector databasesData storytelling – turning analysis into clear, actionable insightsCollaboration with ML Ops to deploy and monitor modelsEducationBachelor’s or Master’s in Data Science, AI, Statistics, Computer Science, or related field