intermediate machine learning engineer jobs in Toronto

At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities - united as one. We are a team of passionate people, boldly building the future of sport and entertainment, together. From the ice to the pitch, the hardwood to the digital arena, we're proud to be the driving...

Drive data architecture strategies with your expertise in data solutions as a Senior Data Architect in Toronto or Boston. This hybrid role focuses on scalable, secure, and AI-ready data capabilities for the organization. In this pivotal position, you will define and lead the organization’s data architecture, channeling your hands-on expertise into...

Design and deliver offline evaluation frameworks with explicit success criteria - ranking metrics, held-out AUC, time-respecting splits, and point-in-time correctness - so that an offline win reliably predicts online lift. Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so...

Machine Learning Engineer on GenAI team to lead development of data science products for operational efficiency and customer satisfaction. Focus on predictive analytics, forecasting, and supply chain optimization using Python.

Seeking a Machine Learning Engineer to design, train, deploy, and maintain ML systems for a music and entertainment company's next-generation operating system, focusing on automation, forecasting, and agentic workflows.

This role involves developing verification strategies and test plans, creating verification environments, writing tests, and analyzing results for a Machine Learning IP team.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of...

CIBC is seeking a Machine Learning Engineer Co-op in Toronto. You will contribute to MLOps, refactor notebooks into production-grade modules, and support deployment of ML models while maintaining Python libraries. Ideal candidates are enrolled in post-secondary education, returning to full-time studies, and comfortable with cloud tools, Git/GitHub, and...

Senior Machine Learning Engineer, Growth HelloFresh Toronto, ON Full-time CA$170,000 - CA$200,000 / year Employee Discounts Senior Machine Learning Engineer, Growth HelloFresh is hiring a Senior Machine Learning Engineer for its Growth Tech Alliance in Toronto. The role focuses on productionizing machine learning infrastructure for marketing...

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team — OIG is Okta’s Identity Governance and...

Seeking a Machine Learning Engineer to design and implement LLM agents and ML models for an AI-driven career guidance platform, focusing on personalized career experiences.

Designs, builds, trains, evaluates, deploys, and owns ML models and large-scale ML systems to enhance self-serve support experiences, including conversational AI and personalized documentation.

Seeking a Machine Learning Engineer to develop and deploy AI models for a legal tech company. Responsibilities include designing ML systems, optimizing data pipelines, and researching state-of-the-art techniques.

Develop and deploy machine learning models for renewable energy forecasting and digital twin platforms. Requires Python and deep learning framework proficiency.

Develops and implements machine learning models for character animation generation, working with large datasets, optimizing, and deploying models within Unreal Engine.

This role involves designing and implementing multi-modal ML models, fine-tuning LLMs, and creating real-time ML pipelines to optimize operations.

Seeking an embedded Machine Learning software engineer to develop and deliver novel AI solutions for automotive platforms. Responsibilities include designing ML runtime frameworks, optimizing code, and supporting model deployment on embedded systems.

Develops and deploys scalable machine learning systems for applications like chatbots and predictive analytics.

Designing and deploying production ML models for real-time pricing decisions, focusing on RL, backend systems, and scaling products for a micromobility company.

Manulife's bold ambition is to become a digital, customer-first leader. To achieve this, we've made significant investments in Advanced Analytics and AI capabilities. We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's mission is...