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Contract Machine Learning Engineer Jobs in Ontario

Machine Learning Engineer - Enterprise

Toronto, ON ยท On-site

CA$150K - CA$400K/yr

We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the forefront of developing and deploying ...

Senior Machine Learning Engineer

Mississauga, ON ยท On-site

CA$105K - CA$125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Required Skills Azure data factory, Azure data bricks, Azure Machine Learning, PySpark, SQL, Python, PB, AWS, SF, DEVOPS and Azure Security - Create and maintain optimal data pipeline architecture ...

Senior Machine Learning Engineer

Toronto, ON ยท On-site

CA$105K - CA$125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Required Skills Azure data factory, Azure data bricks, Azure Machine Learning, PySpark, SQL, Python, PB, AWS, SF, DEVOPS and Azure Security - Create and maintain optimal data pipeline architecture ...

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that powers our System of Actions. You'll design and implement multi-agent Co-pilot systems that orchestrate ...

The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub for AI ...

Showing results 41-60

Contract Machine Learning Engineer information

See Ontario salary details

$25.5K

$128.1K

$223.5K

How much do contract machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contract machine learning engineer in Ontario is $128,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

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

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Ontario?

The most popular types of Machine Learning Engineer jobs in Ontario are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Ontario?

For Contract Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Engineer jobs in Ontario look for?

The top searched job categories for Contract Machine Learning Engineer jobs in Ontario are:

Infographic showing various Contract Machine Learning Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,093 per year, or $61.6 per hour.

Machine Learning Engineer - Fully Remote | Upto $85/hr

Mercor

Toronto, ON โ€ข Remote

CA$85/hr

Full-time

Posted 7 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.
  • 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.