256 Machine Learning Engineer jobs in Dubai

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

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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.

We are running towards a borderless world where language barriers do not exist. We not only know it, but we work for it.

In pursuit of a globalized world, as the first end-to-end human-powered AI Dubbing start-up, Ollang alone has transcreated over 2 million minutes worth of content into more than 60 different languages so far, generating 3.5+ billion views worldwide, and telling inspiring stories to audiences.

We work with the biggest names in online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, and production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo.

We are rushing towards the Series A round with our elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar, to name a few.

Our culture relies upon freedom, empowerment, innovation, imagination, creativity, and self-discipline.

And now, we are looking for a high-performing Machine Learning Engineerwho would become a member of this founding team of soon-to-be unicorn Ollang.

Sounds like you? Read the description below carefully and apply now

What will you work on?

As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms to solve complex problems and improve our products and services. You will collaborate closely with cross-functional teams, employing your expertise in Python and various machine-learning frameworks to create models that drive business growth. In addition, you will be involved in data processing, feature engineering, and data visualization, while ensuring seamless deployment, scaling, and monitoring of ML models. Your strong problem-solving, communication, and collaboration skills will be essential as you contribute to the ongoing innovation and growth of our company in a dynamic and fast-paced environment.

What do we look for?

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in machine learning, artificial intelligence, or related fields
• Proficiency in Python and at least one machine learning framework (TensorFlow, PyTorch, Keras, etc.)
• Experience with NLP, computer vision, or speech processing is a plus
• Familiarity with ML model deployment, scaling, and monitoring
• Ability to design and implement machine learning algorithms, evaluate their performance, and optimize as needed
• Experience with data processing, feature engineering, and data visualization techniques
• Understanding of the ethical implications of AI and machine learning, including fairness, accountability, and transparency
• Experience with reinforcement learning, unsupervised learning, or deep learning techniques and their applications in real-world scenarios
• Strong problem-solving, communication, and collaboration skills
• Eagerness to learn, innovate, and grow in a fast-paced environment

Perks for you

Flat organization structure with a crackhead culture.

Opportunity to work with clients and teammates from all around the world.

A team that works hard and parties harder.

A 13th salary following one year of service with the company.

A wide range of online training courses.

Summer and Winter Company Retreats

Rich referral program

An in-office ever-overflowing snack corner

Opportunity to work from different Ollang offices including Istanbul, Seoul, Dubai, and Paris offices.

Are you curious about what goes on behind the scenes in the making of a unicorn? Come become a unicorn-maker with us. Get ready for the world of Ollang.

But before that, let's put you through a small translation test. What are we trying to tell you here?

(Hint: We are multilingual. We can speak multiple languages in a sentence. We're a showoff. )

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

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

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.

A Data Science Engineer plays a pivotal role in driving business growth by leveraging data insights and machine learning expertise to inform strategic decisions.

The ideal candidate will have a strong understanding of data analysis, machine learning algorithms, and cloud computing platforms.

Key Responsibilities:

• Develop and maintain scalable data pipelines for efficient data processing and model deployment.
• Collaborate with cross-functional teams to integrate data science solutions into production environments.
• Implement automation tools to streamline data-related tasks and improve productivity.
• Troubleshoot and resolve complex technical issues related to data science deployments.

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience: 5 years in data science, DevOps, or a related role.
• Technical Expertise: Strong understanding of machine learning concepts, algorithms, and cloud platforms (AWS, Azure, GCP).
• Scripting Skills: Proficiency in Python or similar scripting languages.
• Containerization: Experience with Docker and Kubernetes.
• CI/CD Tools: Familiarity with Jenkins, GitLab CI, CircleCI, or similar.

Benefits

This role offers a unique opportunity to work at the intersection of data science and engineering. The successful candidate will have the chance to drive business outcomes through innovative data-driven solutions.

Other Opportunities

Opportunities for professional growth and development are plentiful in this role. The company encourages innovation and provides resources for continuous learning and skill enhancement.