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Machine Learning Contract Jobs in Toronto, ON (NOW HIRING)

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Vancouver, BC (hybrid preferred; remote candidates will be considered) Contract Duration: Two-year ... Strong background in machine learning and artificial intelligence with expertise in deep learning ...

Structure: 12 month contract Location: North York, 1-2 days per month on-site -- We have a great ... Deep expertise in traditional machine learning algorithms (regression, classification, clustering ...

Sr. Data Scientist Toronto, Canada 18 months contract We are seeking a highly skilled and motivated ... Experienced in building machine learning models in Python and working with large-scale distributed ...

Contract Location: Remote Scope of Work: * Contribute production-quality code, reviews, and ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

RQ11252 - Sr. AI Engineer

Toronto, ON · On-site

CA$90.18 - CA$108.22/hr

... contract (226 business days) - possible extension ONSITE 5 days - 222 Jarvis St Must Have: * 5+ years of experience developin g Artificial Intelligence and Machine Learning solutions. * Hands-on ...

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Showing results 1-20

Machine Learning Contract information

See Toronto, ON salary details

$21K

$107.9K

$199.5K

How much do machine learning contract jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning contract in Toronto, ON is $107,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,351.00 and $146,968.00 per year, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON?

The most popular types of Machine Learning jobs in Toronto, ON are:

What are popular job titles related to Machine Learning Contract jobs in Toronto, ON?

For Machine Learning Contract jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Toronto, ON look for?

The top searched job categories for Machine Learning Contract jobs in Toronto, ON are:

Infographic showing various Machine Learning Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $107,911 per year, or $51.9 per hour.

Machine Learning Engineer

Clarius Mobile Health

Toronto, ON • Remote

CA$110K - CA$130K/yr

Temporary

Posted 8 days ago


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