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Medical Imaging Machine Learning Jobs in Ontario

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

... medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and ...

... medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and ...

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design ... Comprehensive benefit package specific to your work status (including extended medical, dental, and ...

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$105K - CA$125K/yr

The role of a machine learning professional involves applying machine learning techniques and ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

$120 - $170/hr

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our ... medical condition, genetic information, military or veteran status, gender identity, gender ...

Software Developer

Kanata, ON

CA$80K - CA$105K/yr

... medical imaging applications with 25 years of expertise in vision applications with our growing ... Develop software applications for video switching, machine learning, industrial inspection and ...

... medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an ... Experience with machine learning, computer vision, or image processing. * Familiarity with data ...

New

Analog Mixed -Signal IC Designer

Waterloo, ON · On-site

CA$93K - CA$124K/yr

... medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an ... Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ...

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Medical Imaging Machine Learning information

See Ontario salary details

$22.5K

$91.5K

$193K

How much do medical imaging machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for medical imaging machine learning in Ontario is $91,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are popular job titles related to Medical Imaging Machine Learning jobs in Ontario?

For Medical Imaging Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Medical Imaging Machine Learning jobs in Ontario look for?

The top searched job categories for Medical Imaging Machine Learning jobs in Ontario are:

Infographic showing various Medical Imaging Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $91,529 per year, or $44 per hour.

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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.