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Healthcare Machine Learning Engineer Jobs in Toronto, ON

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

Clarius Mobile Health

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

... reduce healthcare costs. That's why we're on a mission to make medical imaging accessible ... Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... health and well-being benefits, savings and retirement programs, paid time off, banking benefits ...

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing ... plus care days for personal or family illness * Immediate Health Coverage : Health and dental ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Td

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... health and well-being benefits, savings and retirement programs, paid time off, banking benefits ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an ... health and well-being benefits, savings and retirement programs, paid time off, banking benefits ...

Stripe

Machine Learning Engineer

Toronto, ON

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

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All JobsHealthcare Machine Learning Engineer JobsHealthcare Machine Learning Engineer Jobs in Toronto, ON

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 50% Full Time, and 50% Temporary. Highlights an 50% In-person, and 50% Remote job distribution.

Machine Learning Engineer

Toronto, ON • Remote

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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