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Contract Machine Learning Software Engineer Jobs in Toronto, ON

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to ...

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices * Strong coding proficiency: python, R, SQL and / or Scala, cloud ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Showing results 21-40

Contract Machine Learning Software Engineer information

What is a contract machine learning software engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.

What are the key skills and qualifications needed to thrive as a contract machine learning software engineer?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How does a contract machine learning software engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

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

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

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

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

Infographic showing various Contract Machine Learning Software Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 39% In-person, 6% Hybrid, and 55% Remote job distribution.

Machine Learning Engineer 3D Geometry/ Multi-Modal

Toronto, ON • On-site

Autodesk, Inc.
Software Development • 10K+ employees

CA$99K - CA$145K/yr

Other

Re-posted 13 days ago


Key responsibilities

  • Support research through the construction of ML pipelines, prototypes, and reusable, testable code

  • Process data and analyze feature extractions

  • Analyze errors and provide solutions to problems


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products. You will report to a research manager in the Research Engineering organization of Autodesk Research. This role can be based at either our offices in London, UK or Toronto, Canada. Working in a hybrid working model.

Responsibilities
  • Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  • Support research through the construction of ML pipelines, prototypes, and reusable, testable code
  • Process data and analyze feature extractions
  • Analyze errors and provide solutions to problems
  • Present results to collaborators and leadership
Minimum Qualifications
  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of machine learning experience
  • Experience scaling machine learning training and data pipelines
  • Experience with computational geometry and geometric methods including mesh or B-Rep models
  • Experience with version control, reproducibility, and deploying machine learning models
  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
  • Experience with cloud services and architectures (e.g. AWS, Azure)
  • Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
  • Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
  • Experience working with distributed systems
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Learn More About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all.

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $99,000 and $145,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all.

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What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982