What Jobs are available for Machine Learning Frameworks in the United Arab Emirates?

Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

Reference Number: 381 Al Ain

Job Description:

• Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
• Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
• Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
• Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
• Provide timely, constructive feedback on student coursework, projects, and examinations.
• Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
• Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
• Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
• Perform any additional duties as requested by the Program Director or Dean.

General Conditions:

• 4+ years of professional experience in teaching AI-related subjects at the university level.
• Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
• Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
• Research published in reputable journals indexed in the Scopus database.
• A passion for mentoring students in research and supporting their academic and professional growth.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

• ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

• Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

• Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

• 6+ years of experience in machine learning engineering or applied data science .

• Hands-on expertise with MLFlow, Databricks, and Azure ML .

• Strong experience in developing and deploying predictive ML models , ideally within healthcare.

• Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Knowledge of model monitoring, drift detection, and automated retraining strategies .

• Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

• Strong problem-solving and collaboration skills with a focus on production-grade delivery.

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)