Senior Machine Learning Engineer

Machine Learning Engineer

Who are we?

CFI Financial Group is an award-winning trading provider with 25+ years of experience and offices worldwide including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.

CFI is hiring! Make your mark in the online trading industry.

Job Description

We are seeking a talented Machine Learning Engineer to join our growing team.

Key Responsibilities

• Design, build, and optimize ML models to support business and product needs.
• Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks .
• Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents .
• Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems.
• Acquire, clean, and analyze data from multiple sources to support ML initiatives.
• Ensure data and model quality, integrity, and compliance with best practices.
• Break down complex AI/ML projects into actionable tasks with realistic time estimates.
• Collaborate with cross-functional teams (data engineering, front-end, business, project management, product).
• Maintain clear documentation, project milestones, and deliverables.
• Foster a collaborative, innovative environment and contribute to knowledge sharing.
• Uphold and help establish coding standards and code review processes for AI/ML projects.

Qualifications

• Minimum 3 years of experience as Senior Machine Learning Engineer
• Strong Python skills with experience in ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
• Proven experience developing and deploying LLM-powered agents with multi-step reasoning .
• Hands-on experience with RAG architectures and MCP .
• Strong proficiency in Databricks for ML workflows, training, and deployment.
• End-to-end experience deploying ML models and AI agents to production.
• Strong SQL skills and familiarity with relational & NoSQL databases.
• Experience with data streaming (Kafka, Flink, or similar) .
• Familiarity with MLOps practices : model versioning, CI/CD, monitoring, automated retraining.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience with NLP, transformers, and predictive analytics models.
• Strong foundation in mathematics, statistics, and computer science.
• Fintech or financial services background strongly preferred.
• Excellent communication skills in English.

Why join CFI?

• Fast-growing, multinational company
• Competitive salaries and benefits
• Work and learn with industry professionals
• Supportive and collaborative environment
• Unlimited opportunities for growth and development