intermediate machine learning engineer jobs in Toronto

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

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and...

Location: Remote / Hybrid / On-site Employment Type: Full-Time About the Role We are looking for a skilled Machine Learning Engineer to develop, deploy, and optimize machine learning systems that power innovative AI solutions. You will work closely with data scientists and software engineers to build scalable ML applications for our clients. Key...

Why is this role important? At the company, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce...

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...

The Opportunity Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global insurance provider in the world? Look no further than Zurich Canada.If you have experience in machine learning, artificial intelligence or ML/AI...

Internship opportunity at Cresta to develop AI solutions for contact centers, focusing on Generative Knowledge Assist and Retrieval-Augmented Generation. Responsibilities include designing, developing, and deploying AI models, collaborating with cross-functional teams, and contributing to AI research.

Seeking a Machine Learning Engineer to build and support Generative AI, ML, and Data Science solutions. Responsibilities include implementing AI/ML tech, developing exploration tools, and providing guidance for AI deployment and governance.

Develops and launches machine learning algorithms, working on diverse problems in transportation, economics, forecasting, and personalization, with a hybrid work model.

Build and optimize a machine learning platform to accelerate drug discovery, supporting the full model lifecycle and onboarding ML teams.

Architect and build scalable ML models and AI systems for core enterprise applications, managing the full ML lifecycle from research to production deployment, and mentoring junior engineers.

Seeking a Machine Learning Engineer to build and scale ML systems, deploy AI solutions, optimize performance, and drive measurable results. Work on end-to-end pipelines, MLOps, and collaborate with data engineers.

Seeking a Machine Learning Engineer to research, evaluate, and deploy RL models for real-time game mechanics in EA Sports FC, requiring Python, C++, and ML framework expertise.

Develops and deploys AI solutions, integrating advanced language models, fine-tuning techniques, and building sophisticated workflows and platforms.

Develops and deploys scalable GenAI solutions in a healthcare setting, collaborating with engineering teams and focusing on product lifecycle from conception to production.

Seeking a Senior ML Engineer to lead scaling and innovation of AI initiatives, focusing on inference/training pipelines for higher customer volumes and improved extraction/summarization techniques.

Seeking a Senior Machine Learning Engineer to design, build, deploy, and operate scalable ML/AI solutions in production, covering MLOps, data science modeling, and software engineering for supply chain optimization.

Seeking a Senior Machine Learning Engineer to develop, deploy, and test AI systems and search agents using ML and LLMs in retail. Role includes mentoring developers and leading best practices.

Develops and deploys machine learning solutions for industrial processes, focusing on fault detection and predictive maintenance. Involves data wrangling, model building, and production deployment.

Senior AI/ML Engineer to implement generative AI and machine learning solutions using Azure AI and Google AI services. Focuses on LLM applications, MLOps, and responsible AI for enterprise platforms.