256 Machine Learning Engineer jobs in Dubai

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

Join to apply for the Machine Learning Engineer (Jupyter Notebooks Expertise) role at Unified Consultancy Services .

Unified Consultancy's remote hiring in India for a Machine Learning Engineer (Jupyter Notebooks Expertise) role, supporting a UAE-based healthcare project.

Job Title: Machine Learning Engineer – Jupyter Notebooks Expertise

Location: Remote (India-Based) | Client Location: UAE

Employment Type: 12-Month Contract | Full-Time | Work from Home

Industry: Healthcare AI & Analytics

Unified Consultancy is seeking a highly skilled and detail-driven Machine Learning Engineer with hands-on expertise in Jupyter Notebooks to support healthcare AI initiatives. You will play a critical role in transforming medical data into intelligent insights and deploy ML models that impact real-world clinical decisions across diagnostics, triage, and forecasting use cases.

• Design, develop, and fine-tune ML models for healthcare domains such as diagnostics, patient triage, and clinical forecasting.
• Preprocess and analyze structured/unstructured medical data (EHRs, lab results, imaging metadata).
• Use Jupyter Notebooks for exploratory data analysis (EDA), model development, and visualization.
• Document and share reproducible, well-commented notebooks with stakeholders.
• Build production-ready models using Python, scikit-learn, TensorFlow, or PyTorch.
• Collaborate with DevOps and Data Engineering teams to ensure secure and compliant data operations.
• Deploy models in production environments and iterate based on feedback and monitoring.
• Use cloud-based notebooks (e.g., Google Colab, Azure Notebooks, or JupyterHub) for collaborative development.
• Communicate findings via rich visual reports and notebook presentations.
• Translate business requirements into actionable analytical solutions.

• Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 3+ years of professional experience in ML with a strong emphasis on Jupyter Notebooks.
• Proficiency in Python, Pandas, NumPy, Matplotlib, Seaborn, or Plotly.
• Strong command over ML concepts, including predictive modeling and statistical analysis.
• Familiarity with MLOps, model deployment frameworks, and version control (Git).
• Experience in cloud environments like AWS, Azure, or GCP.
• Previous exposure to healthcare datasets or medical AI projects is a plus.
• Strong documentation and communication skills.

• Excellent communication and interpersonal skills to collaborate across teams and clients.
• Analytical thinking, problem-solving attitude, and time management abilities.
• Strong report writing and stakeholder presentation skills.
• Creative thinking and ability to deliver innovative solutions under tight deadlines.
• Professional integrity, attention to detail, and commitment to healthcare innovation.

The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.

• Production Model Maintenance: Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
• Platform Orchestration: Manage AzureML pipelines & Databricks workflows for model retraining, batch scoring, and real-time inference.
• High-Availability Engineering: Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
• Release Management: Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
• Model Governance: Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
• Incident Response: Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
• Infrastructure Optimization: Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
• Vendor Management: Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.

1. Educated with at least bachelor's degree or equivalent in related field
2. Education specialization or master's degree in computer science, Software Engineering
3. Proficient in English
4. Preferred proficiency in Arabic
5. In-depth knowledge of React Native and Next JS and related modules, components and libraries
6. Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore

1. Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
2. 2+ years in Data Science or Software Engineering experience
3. 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
4. Strong problem-solving skills and the ability to resolve issues efficiently.
5. CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
6. Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.

1. Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
2. Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
3. Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
4. Credit bureau data structures (tradelines, inquiries, public records)
5. Model risk management (MRM) standards
6. Azure Solutions Architect or MLOps certifications
7. Experience with financial services-grade SLAs (99.9% uptime) and outage management
8. Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
9. Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
10. Knowledge of new and upcoming AI tools
11. This is contained within the earlier requirement of python. If the plan is for this resource
12. Excellent written and verbal communication skills English
13. Strong interpersonal skills with the ability to engage and build relationships
14. Crisis management under pressure
15. Cross-functional collaboration with data science/risk teams
16. Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
17. Ability to develop and document procedures, roles, and guidelines.
18. Security and Compliance Especially in financial services, mention data security, PII handling, and compliance with regulations

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:

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

Requirements:

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

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

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As a senior machine learning engineer, you will be responsible for designing and developing scalable machine learning platforms and infrastructure to support our business objectives.

Key responsibilities include:

1. Designing and developing machine learning platforms and infrastructure
2. Building and maintaining scalable data pipelines and architectures
3. Collaborating with cross-functional teams to integrate machine learning models with business applications
4. Developing and implementing automated testing and deployment scripts
5. Ensuring platform security, scalability, and reliability

Required Skills and Qualifications:

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

We offer a competitive compensation package and a dynamic work environment that fosters innovation and collaboration. If you are passionate about machine learning and want to make a meaningful impact, we encourage you to apply for this exciting opportunity.

**Job Title:** Senior Data Scientist

We are seeking a highly skilled and experienced Data Scientist to join our team. As a key member of the algorithms track, you will play a vital role in advancing our platform to become more intelligent in serving our users.

You will be responsible for owning a particular domain across product and business, working closely with corresponding product and business managers as part of a talented team of data scientists and data engineers.

• Leverage ambiguous business problems to drive objective criteria using data.
• Solve complex business problems using the simplest, most appropriate algorithms to deliver business value.
• Design and implement effective machine learning systems in production.
• Develop a deep understanding of product experiences and business processes.
• Develop a deep familiarity with source data and its generating systems through documentation and interaction with engineering teams.
• Contribute to the design and maintenance of data models that measure performance and comprehend performance drivers.
• Work with product and business teams to identify important questions that can be answered effectively with data.
• Deliver well-formed insights and recommendations to support data-driven decision-making.
• Design and analyze experiments (A/B and multivariate tests).
• Support product and business managers with KPI design and goal setting.
• Mentor other data scientists in their growth journeys.

• Experience in machine learning, generative AI, and deep learning.
• Deep knowledge and experience in ML and GenAI frameworks.
• Excellent SQL skills.
• Competence with reproducible data analysis using Python or R.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire data lifecycle.
• Deep understanding of various experiment design and analysis workflows.

We are looking for a seasoned Machine Learning Expert to join our team. As the leading delivery platform, we have a unique responsibility to positively impact millions of customers, restaurant partners, and riders.

To achieve our mission, we must scale and continuously evolve our machine learning capabilities, including cutting-edge Generative AI initiatives.

This demands robust, efficient, and scalable ML platforms that empower our teams to rapidly develop, deploy, and operate intelligent systems.

Key Responsibilities:

• Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models.
• Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles.
• Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI.
• Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases, and real-time retrieval-augmented generation (RAG) systems.
• Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices.
• Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation.
• Integrate infrastructure components, such as real-time model serving frameworks, Kubernetes orchestration, and cloud solutions, for robust production environments.
• Drive infrastructure optimization for generative AI use cases, including efficient inference techniques, batching, caching, quantization, finetuning, prompt management, and model updates at scale.
• Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap.
• Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement.

Benefits:

We offer a competitive compensation package, opportunities for career growth and development, and a collaborative work environment.

About Us:

We are a leading technology company dedicated to delivering innovative solutions that transform industries and improve lives.

Join Our Team:

If you are passionate about machine learning and want to be part of a dynamic team, please submit your application.

We are seeking a highly skilled AI and machine learning engineer to join our team in Dubai, United Arab Emirates. As a junior developer/engineer you will have the opportunity to work on cutting-edge AI projects and contribute to the development of intelligent systems.

• Assist in the design development and implementation of AI and machine learning models.
• Collaborate with senior developers and data scientists to improve existing AI algorithms.
• Write clean efficient and well-documented code.
• Participate in code reviews and contribute to best practices.
• Help in data preprocessing and feature engineering tasks.
• Assist in the integration of AI models into production environments.
• Stay up-to-date with the latest advancements in AI and machine learning technologies.
• Contribute to the development of internal tools and libraries.
• Participate in team meetings and brainstorming sessions.

Qualifications:

• Bachelor's degree in computer science, artificial intelligence or a related field.
• 2 years of experience in software development or AI-related projects (internships or personal projects are valuable).
• Proficiency in at least one programming language (preferably Python, Java or C).
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Basic understanding of AI and machine learning concepts.
• Knowledge of data structures and algorithms.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to write clean organized code.
• Good communication skills and ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies quickly.

Remote Work:

No

Employment Type:

Full-time