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

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Senior Data Engineer

Toronto, ON · Remote

Partner across data science, backend and product on the producer to consumer contract (models ... Machine Learning Platform Exposure: Experience supporting machine learning workflows, feature ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON

Design, build, and rigorously evaluate specialized machine learning models for document ... forms or contracts. * Practical experience with ML/AI techniques, including supervised ...

BMO Capital Markets

Senior Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

Data Analytics & Reporting This is a 12 month contract hybrid role in Toronto We are seeking a Senior Data Scientist to join our team on a 12-month contract to support key machine learning initiative.

YO AI Labs

Java Open Source Contributor

Toronto, ON · Remote

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 ...

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Medcan

AI Technical Specialist

Toronto, ON · Hybrid

CA$82K - CA$113K/yr

Technical Skills - Must Have Understanding of agentic AI, machine learning, Generative AI, and ... Employment contracts are shared directly by members of the Medcan Talent Acquisition or Human ...

YO AI Labs

Senior Software Engineer - Remote

Toronto, ON · Remote

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 ...

YO AI Labs

Senior Software Engineer - Remote

Toronto, ON · Remote

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 ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Toronto, ON

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 Jul 26, 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 job?

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 key skills and qualifications needed to thrive in the Machine Learning Contract position, 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 typical responsibilities and workflow for a Machine Learning Contract position?

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 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:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Toronto, ON as of July 2026, with employment types broken down into 62% Full Time, 20% Part Time, 1% Temporary, and 17% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,911 per year, or $51.9 per hour.
AI/ML Engineer - Fully Remote | Upto $85/hr

AI/ML Engineer - Fully Remote | Upto $85/hr

Mercor

Toronto, ON • Remote

CA$85/hr

Full-time

Posted 2 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: ML Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
  • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
  • Identify bugs, edge cases, performance issues, and failure modes in AI models.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic ML engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional machine learning engineering experience.
  • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated machine learning implementations and technical tradeoffs.

Preferred

  • Experience deploying ML systems to production.

Compensation & Legal

  • $400 per accepted task
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.