156 Machine Learning jobs in Dubai

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Reports To

Head of AI & Data Science

Summary

We are looking for a skilled professional with expertise in Machine Learning Engineering (MLE Level II) and Data Science (Level II) to join our AI & Data Science team at Property Finder. This role will focus on developing and deploying advanced AI solutions using Generative AI , Large Language Models (LLMs) , and transformer-based models to drive personalisation, automation and innovation across our platforms. The ideal candidate will have a strong foundation in machine learning, practical experience with transformer architectures, and the ability to collaborate across teams to deliver impactful AI-driven solutions. Join a forward-thinking team at the forefront of innovation, working on cutting-edge projects that leverage GenAI and Large Language Models (LLMs) to transform the real estate experience. Be part of a collaborative and dynamic environment that values continuous learning, technical excellence, and teamwork. With exposure to advanced AI technologies and challenging projects, you'll have the opportunity to grow professionally and make a meaningful impact in an ever-evolving industry.

• Deep understanding and working knowledge of deep learning and neural networks architectures
• Design, fine-tune, and deploy Large Language Models (LLMs) and generative models tailored to business needs.
• Develop applications using transformer-based architectures such as GPT, BERT, T5, or similar frameworks.
• Implement use cases in personalization, content creation, and workflow automation using Generative AI.
• Optimize LLM performance for inference in real-time or large-scale production environments.
• Conduct research and experimentation to identify improvements in GenAI and LLM applications.
• Build and maintain scalable ML pipelines to deploy LLMs and generative models efficiently.
• Develop workflows for fine-tuning and serving transformer models in production.
• Automate the deployment process using MLOps tools (e.g., Kubernetes, MLflow, Docker).
• Optimize data pipelines and feature engineering processes to support transformer-based models.
• Build and implement ML models for predictive analysis and personalization.
• Collaborate with cross-functional teams to generate actionable insights and support business strategies.
• Conduct data wrangling, feature engineering, and advanced statistical analysis.
• Design and evaluate experiments (e.g., A/B testing) to validate model performance.
• Partner with the GenAI team to align model development with business goals.
• Work closely with MLE and Data Science teams to ensure seamless integration of LLMs and generative solutions into production workflows.
• Collaborate with the Futurism team to explore cutting-edge AI applications and opportunities for LLMs.

The Person

Desired Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in machine learning engineering and data science roles, with 2+ years hands-on experience in transformers, LLMs and generative models.
• Proficiency in fine-tuning and deploying transformer models (e.g., GPT, BERT, T5).
• Familiarity with tools like Hugging Face Transformers, OpenAI APIs, and LangChain.
• Expertise in prompt engineering and domain-specific fine-tuning of LLMs.
• Knowledge of attention mechanisms and sequence-to-sequence modeling.
• Strong experience with ML pipelines and MLOps tools (e.g., Kubernetes, Docker, MLflow).
• Advanced SQL and Python programming skills.
• Familiarity with cloud platforms (AWS, GCP, Azure) for scalable deployments.
• Intermediate experience with supervised and unsupervised learning algorithms.
• Proficiency in data wrangling and feature engineering.
• Knowledge of statistical analysis and hypothesis testing.
• Strong analytical and problem-solving abilities.
• Effective communication skills to collaborate with cross-functional teams.
• Adaptability to work in a fast-paced, dynamic environment.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Our People, Our Power
• The Biggest Risk is Taking no Risk at All

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Location : Dubai, UAE
Department : Applied AI & Data Science Team
Reports To : Head of AI & Data Science

We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.

This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.

• Design and implement advanced predictive and optimization models , leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
• Drive applied innovation in Large Language Models (LLMs) , Generative AI , and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
• Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
• Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
• Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
• Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
• Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
• Continuously optimize model performance for scalability, efficiency, and real-world reliability.
• Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
• Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
• Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.

• Education : Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
• Experience : At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
• Technical Skills :
• Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
• Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
• Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
• Experience with API development and connecting AI systems to external platforms.
• Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
• Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
• Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
• Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
• Good working knowledge of cloud platforms like AWS, GCP, or Azure.
• Soft Skills :
• Effective communication and collaboration skills, particularly in cross-functional environments.
• Strategic mindset with the ability to translate business goals into data-driven initiatives.

• Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
• Collaborate with top talent across diverse teams and disciplines.
• Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Our People, Our Power
• The Biggest Risk is Taking no Risk at All

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

Join to apply for the Machine Learning Engineer role at Helios Towers .

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Direct message the job poster from Helios Towers.

French Language Expert and Senior Talent Acquisition Manager

Machine Learning Engineer

Location : Dubai, UAE

About Us : We are a leading independent telecoms infrastructure company, with one of the most extensive tower portfolios across Africa and the Middle East. Our business model promotes tower infrastructure sharing and enables mobile network operators to deliver connectivity more quickly, reliably, and cost-effectively, driving sustainable development in our markets.

Overview : Reporting to the Director of Digital Innovation, you will design, build, and deploy production-grade machine learning solutions, driving data-driven insights for our global tower-management platform.

Key Responsibilities :

• Ingest and preprocess structured / unstructured data (images, text, time series)
• Engineer and select features to maximize model performance
• Prototype and implement ML algorithms using TensorFlow, PyTorch, or scikit-learn
• Perform hyperparameter tuning, cross-validation, and model selection
• Define evaluation metrics (precision, recall, F1, ROC-AUC) and conduct A / B tests
• Build CI / CD pipelines for data, code, and model artifacts; automate retraining and rollback
• Monitor model performance, data drift, and system health; alert on anomalies
• Document model designs, data schemas, APIs, and runbooks

Experience & Skills :

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• MLOps tools : MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP)
• Domain experience in computer vision, NLP, or forecasting
• Agile / Scrum collaboration; strong analytic and communication skills

Qualifications :

• Bachelor's / Master's in CS, Data Science, Statistics, or related
• Google Professional ML Engineer
• Proficiency in SQL, Git, Docker, and Kubernetes
• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance

Helios Towers is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, marital status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion, or belief.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Telecommunications

J-18808-Ljbffr

Direct message the job poster from Searchability

Please note - the opportunity is only open to those who already reside in Dubai

Salary on offer is between Dh18,000-22,000 p/m

Searchability MENA are partnered with cutting edge tech innovator, specializing in AI and immersive technologies, delivering next-generation solutions that redefine how people interact, create, and communicate in digital environments.

They are looking for an innovative ML Engineer to innovate at the intersection of AI, computer vision, and facial reenactment.

This is a rare opportunity that you don't want to miss out on, joining a business that's paving the way for AI-driven holographic experiences.

Here's what they're looking for:

• Machine Learning (ML) model development and deployment.
• MLOps pipelines and workflow automation.
• PyTorch and other ML frameworks.
• Computer Vision and NLP applications.
• Exposure to end-to-end experience in building, scaling, and maintaining AI/ML systems
• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field—or equivalent experience.
• Full Visa Sponsorship and Medical Insurance.

Does this sound exactly what you're looking for?

Hit apply today and we can discuss further

Please note - that only suitable candidates will be contacted for this position

• Not Applicable

• Full-time

• Information Technology

• Technology
• Information and Media and IT Services and IT Consulting

Referrals increase your chances of interviewing at Searchability by 2x

Get notified about new Machine Learning Engineer jobs in Dubai, United Arab Emirates .

Dubai, United Arab Emirates 35 minutes ago

Dubai, Dubai, United Arab Emirates 21 hours ago

Dubai, Dubai, United Arab Emirates 1 year ago

Job Summary:

Our client is seeking a highly skilled Machine Learning Platform Engineer to join their team in Dubai. As a Machine Learning Platform Engineer, you'll design, develop, and maintain scalable machine learning platforms and infrastructure to support our business objectives.

Key Responsibilities:

1. Design and develop machine learning platforms and infrastructure
2. Build and maintain scalable data pipelines and architectures
3. Collaborate with cross-functional teams to integrate machine learning models with business applications
4. Develop and implement automated testing and deployment scripts
5. Ensure platform security, scalability, and reliability

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or related field
2. 3 years of experience in machine learning platform development
3. Proficiency in programming languages such as Python, Java, or C
4. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
5. Strong understanding of data structures, algorithms, and software design patterns

This is a remote position. We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their data-driven technology powers MNOs fintechs and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cutting-edge financial tech with real-world impact this is the opportunity for you.

With rapid growth industry recognition and a team that thrives on innovation this is a chance to shape the future of finance in high-growth markets across Africa.

Our client is seeking an exceptional Machine Learning Engineer (Foundation Models Focus) to develop and scale AI and machine learning initiatives across their financial services ecosystem. This role is pivotal in driving AI-powered decision-making automation and hyperpersonalization using foundation models including LLMs and multimodal AI. The Machine Learning Engineer will be responsible for developing pretraining finetuning and optimizing foundation models while working closely with data scientists data engineers and software engineering teams to deploy scalable AI solutions. This position plays a key role in enhancing financial AI applications such as automated underwriting fraud detection credit scoring and AI-powered customer engagement ensuring measurable improvements in performance and customer experience.

• Evaluate scope and support the foundation models and Generative AI strategy including potential applications in automated underwriting alternative credit scoring AI-powered customer interactions fraud detection and early-warning models.
• Design and develop AI-powered applications including chatbots virtual assistants personalized recommendation systems and AI-driven decisionmaking tools.
• Plan for resourcing training and roadmap for AI adoption ensuring alignment with senior management and business needs.

• Pretrain finetune and optimize foundation models (e.g. GPT LLaMA Mistral) for various financial applications.
• Hyperparameter tuning for efficiency (e.g. optimization of transformer architectures Mixture of Experts (MoE) retrieval-augmented generation (RAG)).
• Implement foundation model scaling techniques such as DeepSpeed FSDP and quantization to enhance efficiency.
• Develop custom embeddings tokenizers and retrieval models for enhanced financial NLP and multimodal tasks.
• Build pipelines for prompt engineering reinforcement learning with human feedback (RLHF) and model alignment.

• Work with engineering and data teams to ensure AI Models deployment is scalable secure and cost-efficient.
• Develop efficient inference optimization strategies using ONNX TensorRT and Triton Inference Server.
• Implement MLOps best practices including model versioning continuous monitoring retraining and deployment on on-premise infrastructure or cloud (AWS GCP Azure).
• Define best practices for data collection storage and pipeline automation to enable AI-driven insights in financial services.

• Collaborate with data governance teams to ensure AI models comply with data privacy laws.
• Deploy realtime AI anomaly detection models to mitigate fraud risks in digital transactions.
• Partner with compliance teams to develop AI-driven regulatory reporting tools and automated risk alerts.
• Ensure ethical AI and bias mitigation techniques are integrated into foundation model-based decisionmaking systems.

• Develop AI models for hyperpersonalized financial services based on behavioral analysis and customer interactions.
• Implement AI-powered marketing segmentation dynamic customer scoring and next-best-action recommendation engines.
• Partner with AI research institutions universities and fintech accelerators to drive foundation models and generative AI innovation.
• Represent the company at global fintech and AI summits shaping industry conversations on Generative AI in financial services.
• Publish AI research case studies and thought leadership content to establish the company as a leader in AI-driven fintech.

What it takes to succeed:

• 7 years of experience in AI/ML deep learning NLP or applied machine learning with at least 3 years leading AI teams.
• Strong expertise in foundation models LLM architectures and generative AI.
• Hands-on experience with AI frameworks (PyTorch TensorFlow Hugging Face Transformers DeepSpeed MegatronLM).
• Experience in scaling AI/ML models using distributed computing frameworks (Ray Spark Dask).
• Proven ability to deploy and optimize foundation models in production including quantization distillation and efficient inference strategies.
• Strong knowledge of data governance AI ethics and regulatory compliance (GDPR financial regulations).
• Experience working with vector databases (FAISS Pinecone Chroma) for retrieval-augmented generation (RAG).
• Familiarity with MLOps tools (MLflow Kubeflow Weights & Biases).
• Strong programming skills in Python SQL and cloud platforms (AWS GCP Azure).
• Ability to translate AI innovations into business-driven AI strategies for financial services.