76 Machine Learning jobs in Saudi Arabia

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

• Riyadh, SA - Hybrid (Remote and In Person)

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

• Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
• Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
• Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
• Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
• Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
• Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

Get AI-powered advice on this job and more exclusive features.

At Wittify.ai, we are on a mission to build the most advanced Arabic conversational AI, and voice is at the heart of this mission. We are developing human-like, multilingual TTS systems that redefine naturalness, expressiveness, and adaptability for real-world business and consumer applications.

We are looking for aMachine Learning Engineer (Advanced Speech & TTS) to lead the development of next-generation TTS models and voice cloning systems that set new benchmarks in the industry.

Role Overview

As a Machine Learning Engineer (Advanced Speech & TTS), you will design, train, and optimize cutting-edge TTS models using diffusion-based architectures, neural vocoders, and voice cloning techniques. You will collaborate with our speech scientists and AI engineers to build production-ready models that deliver ultra-realistic, controllable, and deployable Arabic speech synthesis.

What You’ll Do

• Design, implement, and train state-of-the-art TTS models, including:
• Diffusion-based architectures for ultra-natural speech
• Non-autoregressive models for real-time performance
• Multi-speaker TTS and zero-shot voice cloning
• Develop and optimize high-fidelity neural vocoders to achieve studio-quality audio with low-latency streaming capabilities

Voice Cloning & Adaptation

• Build speaker adaptation and voice cloning pipelines enabling rapid cloning of new voices with minimal data (few-shot or zero-shot approaches)
• Implement flexible voice style transfer, emotion conditioning, and controllable prosody for human-like speech generation
• Create scalable pipelines for audio-text alignment, phoneme extraction, and dataset augmentation across multiple Arabic dialects
• Utilize forced alignment tools (MFA) and phoneme-based modeling to enhance synthesis accuracy
• Conduct rigorous objective and subjective evaluations, including MOS testing, speaker similarity scoring, and intelligibility assessments
• Benchmark models against industry-leading TTS systems to continuously improve performance

Deployment & Optimization

• Optimize models for production using ONNX, TensorRT, quantization, and pruning to achieve real-time inference on cloud and edge devices
• Stay updated with the latest TTS, voice cloning, and speech synthesis research (NeurIPS, ICASSP, Interspeech, arXiv) and integrate breakthroughs into production systems

Required Qualifications

Education & Experience

• Master’s or PhD in Machine Learning, Speech Processing, Signal Processing, or related fields
• 3+ years of hands-on experience building and deploying advanced neural TTS or voice cloning systems

Technical Expertise

• Deep proficiency in Python and PyTorch (preferred) or TensorFlow
• Proven experience with:
• Diffusion-based TTS models
• Multi-speaker TTS and voice cloning (speaker embedding, speaker adaptation, zero-shot cloning)
• Neural vocoders and deployment optimization for real-time performance
• Strong understanding of DSP fundamentals and neural audio modeling

Nice to Have

• Experience with multilingual or low-resource TTS adaptation, especially Arabic dialects
• Contributions to open-source TTS or speech synthesis projects
• Familiarity with LLM-integrated TTS approaches and context-aware speech synthesis

Why Join Us

• Lead the development of Arabic-first voice AI systems at the frontier of speech synthesis research
• Work in a collaborative environment with world-class AI engineers, linguists, and product teams
• Join a mission-driven startup shaping the future of human-computer voice interactions
• Enjoy flexible work arrangements, competitive compensation, and opportunities for rapid growth

Apply now and be part of building the future of Arabic voice AI.

Together, let’s wit-tify the future.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Wittify.ai by 2x

Get notified about new Machine Learning Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.