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Machine Helper Jobs in Brampton, ON (NOW HIRING)

Machine Learning Engineer

Toronto, ON ยท On-site

$100 - $130/hr

... that help customers access short-term credit with a transparent, user-first experience. To date ... What You'll Do * Design, develop, and deploy end-to-end machine learning pipelines, ensuring ...

The Wood Machine Operator is responsible for operating wood machines such as Biesse and Homag ... AI-driven tools help us streamline candidate sourcing, improve the quality of our hiring decisions ...

The Wood Machine Operator is responsible for operating wood machines such as Biesse and Homag ... AI-driven tools help us streamline candidate sourcing, improve the quality of our hiring decisions ...

We're adding a PMC Adjuster to help optimize production, troubleshoot equipment issues, and ensure ... Making machine adjustments to maintain production efficiency and quality standards * Using hand ...

We're adding a PMC Adjuster to help optimize production, troubleshoot equipment issues, and ensure ... Making machine adjustments to maintain production efficiency and quality standards * Using hand ...

Join us as a Machine Operator Lead Hand in Scarborough and help bring materials to life in a workplace where health and safety always come first. What's in it for you Taking care of our people is in ...

Showing results 21-40

Machine Helper information

See Brampton, ON salary details

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$13

$17

How much do machine helper jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine helper in Brampton, ON is $13.51, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $14.50 per hour, depending on experience, location, and employer.

What is a machine helper?

Machine Helpers are workers who assist machine operators in manufacturing or production settings. They are responsible for supporting the setup, operation, and maintenance of machinery, as well as ensuring materials are loaded correctly and finished products are removed efficiently. Their duties often include cleaning equipment, monitoring machine performance, and helping with minor repairs or adjustments. Machine Helpers play a vital role in keeping production lines running smoothly and safely.

What are the key skills and qualifications needed to thrive as a machine helper, and why are they important?

To excel as a Machine Helper, you need basic mechanical aptitude, physical stamina, and a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and possibly forklift or OSHA certifications is typically required. Attention to detail, teamwork, and reliability are important soft skills for this role. These skills and qualifications ensure safe and efficient machine operation, minimize downtime, and contribute to a productive work environment.

What are some common challenges faced by machine helpers in a manufacturing environment and how can they be addressed?

Machine Helpers often encounter challenges such as keeping up with fast-paced production lines, handling repetitive tasks, and ensuring safety around heavy machinery. To address these, it's important to stay attentive, follow safety protocols, and communicate effectively with machine operators and supervisors. Developing good organizational habits and being proactive about machine maintenance can also help prevent breakdowns and maintain efficiency. Training and teamwork are key for overcoming these challenges and ensuring a smooth workflow.

What is the difference between Machine Helper vs Machine Operator?

AspectMachine HelperMachine Operator
Required CredentialsHigh school diploma or equivalent; on-the-job trainingHigh school diploma; often additional certifications or training
Work EnvironmentFactories, manufacturing plants, construction sitesFactories, manufacturing plants, industrial settings
Employer & Industry UsageCommonly employed in manufacturing and constructionPrimarily in manufacturing, production, and industrial sectors
Job ResponsibilitiesAssist machine operators, prepare materials, perform basic maintenanceOperate machinery, monitor production, ensure safety and quality

In summary, a Machine Helper assists Machine Operators by preparing materials and performing basic tasks, while Machine Operators are responsible for running and managing machinery. Both roles are essential in manufacturing environments but differ in responsibilities and required skills.

What cities near Brampton, ON are hiring for Machine Helper jobs?

Cities near Brampton, ON with the most Machine Helper job openings:

Infographic showing various Machine Helper job openings in Brampton, ON as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $28,109 per year, or $13.5 per hour.

Machine Learning Engineer

Bree

Toronto, ON โ€ข On-site

$100 - $130/hr

Other

Dental, Vision, PTO

Re-posted 19 days ago


Job description

About Bree

Bree is a consumer finance platform building faster, simpler, and more affordable financial services for Canadians who often live paycheck to paycheck. We operate in a massive market thatโ€™s historically been underserved by traditional financial institutions, and weโ€™re building products that help customers access short-term credit with a transparent, user-first experience.

To date, 800,000+ Canadians have signed up for Breeโ€”and we believe weโ€™re still early. Weโ€™re at an exciting intersection of product-market fit, rapid growth, and a clear path to becoming one of the most important fintech companies in Canada.

Weโ€™re at 8-figures of annualized revenue, growing quickly, and profitable. We were part of Y Combinator (Summer 2021) and raised a $2M seed round shortly after.

About the Role

Weโ€™re looking for aMachine Learning Engineer to build and scale high-impact, world-class ML systems. Youโ€™re passionate about deploying AI solutions, optimizing performance, and driving measurable results. Your work will power critical decisions and shape the future of our technology.

What You'll Do
  • Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.

  • Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.

  • Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.

  • Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.

  • Apply machine learning design patterns to build modular, reusable, and production-ready models.

  • Collaborate with data engineers to develop high-performance data pipelines for training and inference.

  • Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.

  • Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.

What You'll Need
  • Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.

  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.

  • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for tracking experiments and automating workflows.

  • Hands-on experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL).

  • Knowledge of cloud-based ML deployment and infrastructure management.

  • Ability to implement real-time and batch inference pipelines efficiently.

  • Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.

  • Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.

Benefits
  • Top of the market compensation for top performers

  • Comprehensive dental / vision

  • $1,500 annual learning stipend

  • $1,000 annual wellness stipend

  • $250 monthly lunch stipend

  • 2 annual company retreats

  • Parental leave

  • Unlimited PTO

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