Machine Learning Engineer

Salt Digital Recruitment; Abu Dhabi; On-site; AED 257,069 - 367,242; Full time

Job summary

Salt Digital Recruitment is seeking a Machine Learning Engineer in Abu Dhabi to design, build, and deploy production-grade AI systems. The role involves collaborating with data science, product, and engineering teams to optimize machine learning models and ensure their performance in production.

The ideal candidate should have proven experience in machine learning, strong foundations in statistics and algorithms, and hands-on expertise with Python and ML frameworks like PyTorch and TensorFlow.

This role offers an exciting opportunity to contribute to high-impact AI solutions.

Qualifications

• Proven experience as a Machine Learning Engineer or in a similar applied ML role.
• Strong foundations in machine learning, statistics, and algorithms.
• Hands-on experience with Python and ML frameworks.

Responsibilities

• Design, build, and deploy scalable machine learning models in production environments.
• Collaborate with data scientists, product managers, and engineers to translate business problems into ML solutions.
• Build and maintain robust data pipelines and feature stores.

Skills

Machine Learning

Python

MLOps

Cloud Platforms

Data Pipelines

Tools

PyTorch

TensorFlow

scikit-learn

Job description

My client is looking for a Machine Learning Engineer to help design, build, and deploy production‑grade AI systems that solve complex, real‑world problems. This role sits at the core of their AI platform, working closely with data science, product, and engineering teams to take models from experimentation to scale.

You will be responsible for developing, optimising, and deploying machine learning models that power intelligent, enterprise‑ready applications. This is a hands‑on role for someone who enjoys working across the full ML lifecycle – from data pipelines to model performance in production.

Key Responsibilities

• Design, build, and deploy scalable machine learning models in production environments.
• Collaborate with data scientists, product managers, and engineers to translate business problems into ML solutions.
• Build and maintain robust data pipelines and feature stores.
• Optimise model performance, reliability, and scalability.
• Implement model monitoring, evaluation, and continuous improvement frameworks.
• Contribute to MLOps practices, including CI/CD, versioning, and deployment workflows.
• Stay current with advances in machine learning, AI, and applied research.

What My Client Is Looking For

• Proven experience as a Machine Learning Engineer or in a similar applied ML role.
• Strong foundations in machine learning, statistics, and algorithms.
• Hands‑on experience with Python and ML frameworks (e.g. PyTorch, TensorFlow, scikit‑learn).
• Experience deploying models in production using cloud platforms and containerised environments.
• Familiarity with MLOps tools and best practices.
• Ability to work effectively in cross‑functional, fast‑paced environments.

Why This Role

This is an opportunity to work on high‑impact AI systems where models move quickly from concept to production. My client is building scalable AI platforms, and this role will play a critical part in turning advanced ML into reliable, enterprise‑grade solutions.

Only successful candidates will be contacted.

Salt is acting as an Employment Agency in relation to this vacancy.