Senior Machine Learning Engineer

About the Job:

Welcome to the company, a global financial pioneer established in 2005 and headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. We serve a community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution overseen by 18+ financial regulators across 5 continents, and a recipient of over 80 financial awards, the company is devoted to innovation, excellence, and empowering clients to achieve their financial goals.

We are seeking a Senior Machine Learning Engineer to join our AI team as a technical owner of ML products and infrastructure. This is a deeply hands-on engineering role focused on building and scaling production AI systems. The successful candidate will operate across the full ML lifecycle, from model design through deployment, optimization, and ongoing performance in production, and will contribute to the technical direction of the AI platform.

Key Responsibilities:

• Architect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance.
• Build and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale.
• Own technical design for ML pipelines, feature stores, training infrastructure, and inference systems.
• Design and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applications.
• Implement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines.
• Continuously optimize model performance, inference latency, cost efficiency, and reliability across systems.
• Collaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutions.
• Mentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the team.
• Contribute to strategic decisions around data architecture, AI infrastructure, and cloud platform direction.

Requirements:

• 7 to 15 or more years of experience in software engineering, data science, or ML engineering.
• Proven track record of building production-grade AI systems.
• Strong background in product companies, scale-ups, or enterprise AI platforms.
• Advanced Python engineering skills with a focus on production quality.
• Comfortable owning systems end-to-end from data through model to deployment and monitoring.
• Experience in fintech or financial services is an advantage.

Technical Skills:

• Machine Learning and AI: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face (Transformers, Datasets, Diffusers).
• LLM and GenAI: OpenAI and Anthropic APIs, LangChain, RAG architectures with vector DB and retrieval pipelines.
• MLOps and Production: Docker, Kubernetes, MLflow, Airflow, GitHub Actions.
• Cloud: AWS (SageMaker, EKS, S3), Azure ML, GCP.
• Data Stack: Databricks, Spark, Delta Lake.

Why Join Us?

• Work with one of the world’s leading financial derivatives institutions.
• Competitive salary plus performance-based incentives.
• Access to a dynamic, international, fast-growing environment.
• Strong opportunities for career progression within a global financial group.
• Be part of a business committed to innovation and excellence.

The company is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate based on nationality, gender, age, religion, or disability.