Senior Machine Learning Engineer UAE

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Job Title:

Senior Machine Learning Engineer | Marc Ellis | Abu Dhabi, UAE
🏢 Recruiting Company:
Marc Ellis
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Job Location:

Abu Dhabi, United Arab Emirates
💼 Job Type: Full-Time, Permanent
📧 Application Method:  &
⏳ Notice Period:
Immediate to 30 Days
👤 Nationality Preference:
European Nationals & UAE Nationals

The Senior Machine Learning Engineer will design, develop, and deploy advanced AI/ML solutions—including LLMs, RAG systems, and enterprise‑grade generative AI applications. This role is essential in transforming business use cases into scalable production models while contributing to secure, high‑performance AI systems.

As a Senior Machine Learning Engineer, you will work across the full ML lifecycle—data processing, model development, training, evaluation, optimization, and deployment. You will collaborate with cross‑functional teams to architect large‑scale ML solutions, fine‑tune LLMs, build RAG pipelines, and integrate models into production environments. The role requires strong software engineering fundamentals, deep ML expertise, and the ability to deliver enterprise‑quality AI products in mission‑critical settings.

You will contribute to secure messaging innovations and cutting‑edge applied AI initiatives.

• Build, train, fine‑tune, and deploy ML/AI models—including LLMs and generative AI systems.
• Design Retrieval‑Augmented Generation (RAG) pipelines using modern vector search frameworks.
• Develop production‑grade ML pipelines using Python, Tensor Flow, or PyTorch.
• Collaborate with engineering, product, and research teams to translate business needs into ML solutions.
• Optimize model performance, latency, and scalability for enterprise environments.
• Integrate AI models with secure messaging and backend systems.
• Implement ML observability, monitoring, and CI/CD for model deployments.
• Evaluate and apply advanced algorithms, embeddings, and transformer architectures.
• Ensure model security, data privacy, and compliance with enterprise standards.

• 5+ years of hands‑on experience in ML/AI engineering.
• Strong Python programming skills.
• Expertise in ML/DL frameworks:
  PyTorch, Tensor Flow.
• Experience with generative AI tools/frameworks:
  Lang Chain, Llama Index, vector databases, etc.
• Experience developing LLM and RAG‑based applications.
• Strong understanding of ML lifecycle, MLOps, and cloud‑based model deployment.
• Solid background in data engineering practices, feature extraction, and model optimization.
• Ability to work in high‑performance, security‑sensitive environments.

• Master’s or Ph.D. in a technical discipline.
• Experience with secure communication or messaging systems.
• Exposure to transformer‑based architectures, RLHF, or fine‑tuning large models.
• Hands‑on experience with Docker, Kubernetes, MLflow, or similar tools.

Highlight your hands‑on experience building LLM/RAG pipelines and deploying production‑grade ML systems—real‑world examples of scalable, enterprise‑ready AI solutions are highly valued for this role.