ZipRecruiter

Log In

2

Remote Medical Machine Learning Jobs in Toronto, ON

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Fullscript

Staff, Machine Learning Engineer

Toronto, ON · On-site +1

Partner with medical, product, and engineering teams to identify high-value opportunities for AI ... Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps ...

next page

Showing results 1-20

All JobsMedical Machine Learning JobsRemote Medical Machine Learning JobsRemote Medical Machine Learning Jobs in Toronto, ON

Remote Medical Machine Learning information

How can I make 2000 a week working from home?

Remote medical machine learning professionals can increase earnings by taking on multiple projects, specializing in high-demand skills like deep learning and data analysis, and working flexible hours. Building a strong portfolio, obtaining relevant certifications, and leveraging freelance platforms can also help reach higher weekly income targets.

Which 3 jobs will survive AI?

In the field of remote medical machine learning, roles such as data scientists, machine learning engineers, and clinical informaticists are likely to persist as AI tools augment rather than replace human expertise. These jobs require specialized knowledge, critical thinking, and collaboration with healthcare professionals, making them less susceptible to automation. Skills in programming, statistical analysis, and understanding medical data are essential for these roles to adapt to evolving AI technologies.

Will MLE be replaced by AI?

In the field of remote medical machine learning, MLE (Machine Learning Engineer) roles focus on developing and deploying AI models for healthcare applications. While AI automation can handle certain tasks, MLEs are essential for designing, validating, and maintaining complex models, making complete replacement unlikely in the near term. Continuous skills in programming, data analysis, and understanding medical data remain important for MLEs working with AI systems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.
What are popular job titles related to Remote Medical Machine Learning jobs in Toronto, ON? For Remote Medical Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Medical Machine Learning jobs in Toronto, ON look for? The top searched job categories for Remote Medical Machine Learning jobs in Toronto, ON are:
Remote Medical Machine Learning jobs near you
Infographic showing various Remote Medical Machine Learning job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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.

Apply