Senior Machine Learning Engineer

Join an AI Innovation team in Toronto, ON that is building next-generation machine learning platforms and intelligent automation solutions for a global financial information and analytics organization. This full-time opportunity is ideal for an experienced Machine Learning Engineer looking to work with Python, large language models (LLMs), generative AI, agentic systems, cloud platforms, and modern ML frameworks to shape the future of AI-powered decision-making. This is a rare opportunity to help define the AI strategy and technical foundations of a growing innovation hub. The team is looking for a senior, hands-on ML engineer who thrives in greenfield environments, enjoys tackling complex AI challenges, and wants to influence architecture, engineering standards, and the future direction of AI products. If you're excited by experimentation, continuous learning, technical ownership, and the opportunity to turn cutting-edge AI research into production-ready solutions, this role offers meaningful impact and significant career growth. Required Skills & Experience 12+ years of experience building production ML/AI systems Bachelors degree in Machine Learning, Computer Science, Data Science, Applied Mathematics or a related field Strong proficiency in Python and modern machine learning frameworks Extensive experience with Gen AI, LLMs. RAG architectures, and model fine-tuning Experience designing and architecting scalable ML systems from the ground up Experience with Docker, Kubernetes, AWS and/or Azure Proven experience mentoring engineers and leading technical initatives through influence and expertise Desired Skills & Experience Experience with multi-agent systems, agentic workflows, and AI orchestration platforms Strong background in MLOps, model serving platforms, and cloud-native ML infrastructure Experience building greenfield AI products or working in innovation-focused environments What You Will Be Doing Tech Breakdown 50% Machine Learning & Generative AI Development 20% ML Architecture % System Design 15% Cloud Infrastructure & MLOps 15% AI research, Experimentation & Innovation Daily Responsibilities 80% Hands On 20% Team Collaboration Current Vacancy: Yes Use of AI in Hiring: No Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future. Posted By: Emma Borges

The role involves developing next-generation machine learning platforms and intelligent automation solutions using Generative AI and LLMs. The engineer will lead technical initiatives, design scalable ML architectures, and turn AI research into production-ready solutions.

Candidates must have over 12 years of experience building production ML/AI systems and a degree in a relevant field like Computer Science or Data Science. Proficiency in Python, modern ML frameworks, and cloud platforms such as AWS or Azure is required.

• Microsoft AzurePreferred
• KubernetesPreferred
• DockerPreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Large Language Models
• Generative AI
• Agentic Systems
• RAG Architectures
• Model Fine-tuning
• Docker
• Kubernetes
• AWS
• Azure
• MLOps
• System Design
• ML Architecture
• AI Orchestration
• Multi-agent Systems
• Cloud Infrastructure

• Technology
• Software
• Data & Analytics
• Engineering
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

12+ years

Apply by

Sep 23, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level