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Computer Numerical Control Machinist Jobs in Toronto, ON

Machine Learning Engineer

Toronto, ON · On-site

CA$110K - CA$130K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field * 3+ years ... Software engineering best practices (version control, testing, code quality) * Ability to ...

Roll Label Machine Operator

Markham, ON · On-site

CA$20 - CA$24/hr

Control and adjust machine settings when required. * Troubleshoot any issues that may arise and/or ... Basic computer skills * Good written, verbal and mathematical skills. * Good attention to detail ...

Our Company Invision AI is building a universal AI platform for computer vision applications ... Sound software engineering practices, including automated testing, code review, version control ...

Our Company Invision AI is building a universal AI platform for computer vision applications ... Sound software engineering practices, including automated testing, code review, version control ...

Showing results 21-40

Computer Numerical Control Machinist information

See Toronto, ON salary details

$10

$26

$50

How much do computer numerical control machinist jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for computer numerical control machinist in Toronto, ON is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.88 and $28.91 per hour, depending on experience, location, and employer.

What is the difference between Computer Numerical Control Machinist vs CNC Operator?

AspectComputer Numerical Control MachinistCNC Operator
CredentialsHigh school diploma or equivalent; technical training; certifications in CNC programmingHigh school diploma or equivalent; basic training in CNC operation
Work EnvironmentMachine shops, manufacturing plants, often involved in programming and setupManufacturing floors, operating CNC machines under supervision
Job ResponsibilitiesProgramming, setting up, troubleshooting CNC machines, ensuring precisionLoading materials, operating CNC machines, monitoring production

The main difference is that a Computer Numerical Control Machinist typically programs and sets up CNC machines, requiring more technical skills and certifications. In contrast, a CNC Operator mainly runs the machines based on existing programs, focusing on operation and monitoring. Both roles are essential in manufacturing but differ in complexity and responsibilities.

Do computer numerical control machinists make a lot of money?

Computer Numerical Control (CNC) machinists typically earn competitive wages that vary by experience, location, and industry. According to industry data, the median annual salary for CNC machinists is around $45,000 to $60,000, with experienced workers and those with specialized skills earning higher pay. Certifications and proficiency with CNC programming and machine operation can also influence earning potential.

How much do computer numerical control machinists earn?

Computer Numerical Control (CNC) machinists typically earn a median annual salary of around $45,000 to $60,000, depending on experience, location, and certifications. Skilled CNC operators who work with advanced machinery or hold specialized certifications can earn higher wages, especially in manufacturing environments with overtime or shift differentials.

What does a computer numerical control machinist do?

A computer numerical control (CNC) machinist operates and programs CNC machines to produce precise metal or plastic parts based on technical drawings and specifications. They set up, adjust, and monitor machines, ensuring quality and accuracy, often using CAD/CAM software and measuring tools. The role requires technical skills, attention to detail, and knowledge of safety procedures.

What cities near Toronto, ON are hiring for Computer Numerical Control Machinist jobs?

Cities near Toronto, ON with the most Computer Numerical Control Machinist job openings:

Infographic showing various Computer Numerical Control Machinist job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $54,780 per year, or $26.3 per hour.

Machine Learning Engineer

Toronto, ON • On-site

Socket.dev
Network Security • 1 - 10 employees

CA$110K - CA$130K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

A Career at Clarius

Today, as many as 25 million medical professionals globally don't have access to medical imaging, which is proven to improve patient care and reduce healthcare costs. That's why we're on a mission to make medical imaging accessible everywhere by delivering high-performance, affordable, and easy-to-use solutions powered by artificial intelligence and connected to the cloud.

By making Clarius your next career move, you're joining a team of 150+ people who are talented, innovative, and highly collaborative. You're also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care! And you're joining a thrice-certified Great Place to Work!

Your Role

Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation innovations.

Over the next 24 months, you'll focus on the development, training, and deployment of machine learning models in both research and production settings. This role requires strong software engineering practices and the ability to find creative solutions that continually improve the performance and safety of ML in production.

If we meet our project milestones, there's a strong possibility of this role being extended or turning into a permanent position

Your Responsibilities Include:

  • Develop, train, and deploy machine learning models for both research and production environments
  • Improve and maintain ML tools, ensuring robustness and scalability
  • Design, optimize, and maintain ML data pipelines for efficient processing and training
  • Automate ML tasks, model retraining, evaluation, and monitoring in production
  • Collaborate with researchers and software engineers to transfer ML research into practical applications
  • Address and minimize ML technical debt, ensuring maintainable and efficient code
  • Optimize model performance and inference speed for production deployment

Your Experience so Far:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field
  • 3+ years of industry experience in machine learning roles
  • Deep expertise in deep learning and computer vision
  • Mastery in Python development with Unix/Linux
  • Proficiency in TensorFlow and PyTorch
  • Software engineering best practices (version control, testing, code quality)
  • Ability to communicate ML concepts to technical audiences

Preferred:

  • C++ and Javascript development
  • Building scalable web applications and ML tools
  • Model optimization and inference speed tuning
  • Cloud platforms and deployment (Docker, Kubernetes, AWS, GCP)

Location: Vancouver, BC (hybrid preferred; remote candidates will be considered)

Contract Duration: Two-year fixed-term through October 2028, with strong likelihood of extension upon meeting project deliverables

Salary Range: $110,000 - $130,000 CAD

More Reasons to Consider:

Be Part of a High-Impact Project - You'll play a key role in creating a more affordable ultrasound solution, making medical imaging more accessible worldwide.

Work for a Three-Time Certified Great Place to Work - Clarius has been recognized three times as a great place to work, and you’ll be joining a company that values innovation, teamwork, and employee well-being.

Workspace: Our modern office features sit/stand desks, various health & wellness facilities, a stocked kitchen, outdoor amenities, on-site daycare, enclosed parking, a free on-site gym and close proximity to a SkyTrain station.

Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity, religion, age, national origin, disability status, sexual orientation, gender identity or expression. Please let us know if you require any accommodations during the interview process.

Use of Artificial Intelligence in the Recruitment Process

As part of our recruitment and assessment process, we may use artificial intelligence tools to support certain activities. This may include, but is not limited to, reviewing applications, supporting candidate assessments, and conducting or facilitating one way video interviews.

Where AI tools are used, they are intended to support our recruitment process and do not replace human decision making. Candidates may be informed where AI is used as part of an assessment and will have the opportunity to engage with the recruitment process in accordance with applicable laws and our recruitment practices.


Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field
  • 3+ years of industry experience in machine learning roles
  • Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision
  • Mastery in Python development with Unix/Linux. You strive for clean, correct code while iterating on experiments in Python
  • Knowledge of common ML frameworks: TensorFlow and PyTorch
  • Experience in software engineering best practices, including version control, testing, and code quality
  • Ability to explain and present analyses and machine learning concepts to a broad technical audience
  • A passion for making ML methods robust, scalable, and maintainable

Preferred:

  • C++ and Javascript development experience
  • Experience with building scalable web applications and ML tools
  • Experience optimizing model performance and inference speed
  • Familiarity with cloud platforms and deployment tools (Docker, Kubernetes, AWS, GCP)

What You'll Bring:

  • Strong problem-solving skills and ability to tackle complex ML engineering challenges
  • Collaborative mindset, thriving in cross-functional teams
  • Commitment to continuous improvement and learning
  • Initiative to address technical challenges and drive innovation
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