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Library Library Jobs in Whitby, ON (NOW HIRING)

Bree

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

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 ...

Payquad Solutions

Front End Developer

Toronto, ON · On-site +1

Experience working with Angular Material and other component libraries * Familiarity with Angular state management solutions such as NgRx * Experience with mobile angular app builds for iOS and ...

Technical Management Group

Sales Engineer

Toronto, ON · On-site

CA$80K - CA$85K/yr

Support the development and maintenance of standard proposal content, templates, knowledge libraries, and reusable technical-commercial materials. * Support client presentations, proposal interviews ...

New

Paramount

Marketing Manager (Fixed Term)

Toronto, ON · On-site

CA$45/hr

Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME. Paramount is an ...

BMO Capital Markets

Systems Support Specialist

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

This particular team is supporting Digital Library suite of applications. Designs, builds, deploys, evaluates and maintains existing and future IT infrastructure. Ensures all IT systems function ...

Mercor

Computational Seismology Expert - PhD

Toronto, ON · On-site +1

CA$70 - CA$85/hr

Proven proficiency with at least one scientific software library ( SPECFEM , ObsPy , etc.). * Strong Python skills for writing problem setups and solution validators. * Ability to work independently ...

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All JobsLibrary Library JobsLibrary Library Jobs in Whitby, ON

Library Library information

What is the difference between Library Library vs Library Assistant?

AspectLibrary LibraryLibrary Assistant
Required CredentialsMaster's degree in Library Science (MLS) or equivalentHigh school diploma or equivalent; some roles may require a certificate or associate degree
Work EnvironmentPublic, academic, or special libraries; often involves research and management tasksPublic service desks, shelving, assisting patrons, basic cataloging
Employer & Industry UsageLibraries, educational institutions, government agenciesLibraries, schools, community centers
Common Search & ComparisonHigher-level responsibilities, specialized skillsEntry-level, support roles, customer service

The main difference between Library Library and Library Assistant lies in their qualifications and responsibilities. Library Library typically requires a master's degree and involves more complex tasks, while Library Assistants usually have a high school diploma and focus on patron support and basic library functions.

What cities near Whitby, ON are hiring for Library Library jobs?

Cities near Whitby, ON with the most Library Library job openings:

Library Library jobs near you
Infographic showing various Library Library job openings in Whitby, ON as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer

Bree

Toronto, ON • On-site

$100 - $130/hr

Other

Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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 that’s historically been underserved by traditional financial institutions, and we’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 Bree—and we believe we’re still early. We’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.

We’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

We’re looking for aMachine Learning Engineer to build and scale high-impact, world-class ML systems. You’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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