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Healthcare Machine Learning Engineer Jobs in Toronto, ON

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that powers our System of Actions. You'll design and implement multi-agent Co-pilot systems that orchestrate ...

YO AI Labs

Machine Learning Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Healthcare Machine Learning Engineer information

What is the difference between Healthcare Machine Learning Engineer vs Data Scientist in healthcare?

AspectHealthcare Machine Learning EngineerData Scientist in healthcare
Required credentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work environmentDevelops and deploys ML models in healthcare settings, often collaborating with engineers and cliniciansAnalyzes healthcare data, builds models, and provides insights for decision-making
Employer and industry usageHospitals, healthcare tech companies, research institutionsHealthcare providers, biotech firms, research organizations

Healthcare Machine Learning Engineers focus on developing and deploying ML models specifically for healthcare applications, while Data Scientists analyze healthcare data to generate insights. Both roles require strong technical skills and often overlap, but the Engineer emphasizes model deployment and integration, whereas the Data Scientist emphasizes data analysis and interpretation.

Is machine learning used in healthcare?

Healthcare machine learning engineers develop models that analyze medical data to improve diagnostics, treatment plans, and patient outcomes. Machine learning is widely used for tasks such as image analysis, predictive analytics, and personalized medicine, often requiring knowledge of programming, data processing, and healthcare regulations.
Infographic showing various Healthcare Machine Learning Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Temporary. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution.

Machine Learning Engineer (Toronto, ON)

Toronto, ON

Traffix
See more jobs at Traffixexternal

Full-time

Re-posted 20 days ago

Job description

Introduction: As a Machine Learning Engineer I at TRAFFIX you will work with your colleagues to support the productization of data models. This involves taking models created by our data science team and assisting in producing viable azure services which can orchestrate and achieve complex calculations utilizing these models as well as your own solutions tandem. Our team is still young and lean, this means that your solutions will likely involve end to end work thus involving database work, function app buildout, and light infrastructuring + solutioning.

Responsibilities: Work with senior team members to ingest product development requirements from cross-functional teams (engineering, product, business) Elicit needs, and translate to workable development tasks Hypothesize approaches and solutions to potential product needs Conduct runtime analysis and solution proofing to plan + design solutions Work with colleagues to create, deploy, and manage software services using Azure-based technologies Create detailed technical solution designs + documentation for technical projects Develop function-based solutions using backend + solution languages such as Python and C# Develop software that integrates and ties together data products from our data team Contribute to data model products and heuristic approaches Ensure use of best practices, reuse of core components and common design paradigms for developments Oversee and/or implement UAT testing of solutions. Coordinate with colleagues on releases and implementation of products Requirements: Bachelor's Degree in Computer Science, Mathematics, Statistics or equivalent combination of education and experience. Strong foundation in mathematics, statistic, and software design Knowledge in Data models, data model components and integrating with them High proficiency in API development, Deployment-ready functional development, enterprise level software solutioning High proficiency in solutioning, critical thought process Familiarity performance and solution proofing (Runtime analysis) Experience working with enterprise platforms (Azure, AWS, GCP) Azure strongly preferred Very Strong knowledge in Python High proficiency in SQL Knowledge in C# highly desired Excellent written and verbal communication skills.

Excellent Critical Thinking skills to tackle complex data issues Knowledge in version control (git, CI/CD) Preferences: Logistics industry experience is preferred but not required. Experience in Puppeteer or similar web crawling tools is preferred but not required. Experience in working with large datasets (structured & unstructured) TRAFFIX gives equal consideration for a job and terms and conditions of employment to all individuals and that the employer does not discriminate based on race, color, religion, age, marital status, national origin, disability or sex including sexual orientation, and gender identity or expression.

Department: Technology This is a full time position

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