DISCOVER OUR EXPERTISE
Senior Machine Learning Engineer
- Posted 28 March 2026
- Salary Competitive salary and relocation package!
- LocationMuscat
- Job type Permanent
- Discipline AI, Data & Machine Learning
Job description
We are partnering with a fast-growing technology organisation at the forefront of AI and machine learning innovation. This business delivers advanced, data-driven solutions across complex and high-impact environments, operating at the intersection of software engineering, artificial intelligence, and high-performance computing.
With a strong focus on real-world AI applications, cloud deployment, and performance optimisation, the organisation is building scalable, production-grade machine learning systems that power critical decision-making and intelligent automation. As part of their continued growth, they are investing in developing a world-class engineering capability in the region.
Discover the Opportunity
We are seeking a Senior Machine Learning Engineer to play a key role in designing, building, and deploying scalable machine learning systems and pipelines.
This is a highly technical, hands-on position where you will work across the full ML lifecycle — from model development through to production deployment with a strong emphasis on performance optimisation and scalability.
Discover the Responsibilities
Design, develop, and deploy production-grade machine learning models and pipelines
Optimise model performance using GPU acceleration (CUDA, TensorRT)
Build scalable and efficient ML systems for real-world applications
Implement and maintain MLOps frameworks and best practices
Collaborate with cross-functional teams to deliver impactful AI solutions
Mentor and support junior engineers within the team
Continuously improve system performance, reliability, and scalability
Discover the Requirements
Strong experience in Python and machine learning frameworks such as PyTorch or TensorFlow.
Proven experience building and deploying ML models in production environments.
Solid understanding of MLOps tools (e.g. MLflow, Kubeflow).
Experience with cloud platforms (AWS, GCP, or Azure).
Knowledge of containerisation technologies (Docker, Kubernetes).
Hands-on experience with GPU acceleration (CUDA, TensorRT).
Strong problem-solving skills and ability to work in complex environments.
Experience mentoring or leading engineers is a plus.
Discover the Benefits
Opportunity to work on cutting-edge AI and machine learning projects.
Relocation package to Muscat, Oman
Collaborative, high-performance engineering environment.
Real impact on large-scale, mission-critical systems.
Career growth within a rapidly expanding organisation.
Apply Now!