Remote Machine Learning Engineer Jobs in Canada

Introduction: Advance Your Career in AI from Anywhere

Do you thrive on creating intelligent systems that evolve with data? Step into a dynamic role as a Remote Machine Learning Engineer, where you'll solve real-world challenges while working remotely from anywhere in Canada. This opportunity combines innovation with practical application, enabling you to develop models that drive product growth, enhance user experience, and deliver tangible value. Offering a competitive annual salary of $113,000, this role provides autonomy, support, and opportunities for growth within a forward-thinking tech culture.

Join a team that welcomes new perspectives, values initiative, and puts innovation at the heart of every decision. As intelligent technologies continue to advance and shape industries, your work will influence sectors such as e-commerce, healthcare, education, and logistics, enabling smarter business operations and more personalized customer journeys.

Key Responsibilities: Design Models That Make a Difference

Your primary mission will be to create intelligent, scalable, and production-ready machine learning models. In this role, your work will go beyond experimentation—you'll turn data into actionable solutions. Responsibilities include:

• Designing supervised and unsupervised learning models to solve business problems
• Validating algorithms using test strategies, cross-validation, and real-time performance metrics
• Collaborating with product teams to align ML models with application requirements
• Managing end-to-end deployment of models using CI/CD workflows
• Monitoring models for drift, bias, and accuracy in production environments
• Collaborating with data engineers on maintaining clean, reliable datasets
• Reviewing code, offering feedback, and contributing to team-wide improvements

Your input will also shape internal best practices, tech strategy, and the roadmap for upcoming AI initiatives. The team will rely on your insight to refine systems that respond to customer needs with accuracy and efficiency.

Work Environment: Fully Remote and Designed for Engineers

This full-time, remote-first opportunity is built around asynchronous work, offering flexibility for focus without sacrificing team connection. Our distributed teams across Canada communicate through Slack, GitHub, Notion, and weekly virtual standups. We operate in sprints, with clear goals, open retrospectives, and a shared drive for progress.

From onboarding to project delivery, you'll receive structured guidance and continuous feedback, plus the freedom to explore new methods and test new approaches. This work-from-home position is ideal for professionals who enjoy a thoughtful balance between autonomy and collaboration.

Tools and Technologies: Empowered by Leading-Edge Platforms

To succeed in this role, you’ll use modern technologies and frameworks that support experimentation, optimization, and deployment:

• Programming: Python, R, Julia
• ML Frameworks: TensorFlow, PyTorch, LightGBM, Scikit-learn
• Data Platforms: Snowflake, Spark, PostgreSQL, MongoDB
• Cloud and Ops: AWS, GCP, Azure, Docker, Kubernetes
• MLOps: MLflow, Airflow, Prefect
• Monitoring: Prometheus, Sentry, Grafana

Our stack evolves with technology trends, and your feedback directly informs our technical direction. We also support certifications, tool upgrades, and platform transitions when justified by performance improvements.

Required Qualifications: The Skills That Make You Stand Out

We are seeking a versatile and results-driven machine learning professional. Candidates should bring:

• An academic background in computing, algorithmic modeling, statistics, or a related discipline
• Minimum 3 years of hands-on ML experience in real-world projects
• Strong programming skills in Python and exposure to R or Julia
• Experience deploying ML solutions in cloud environments (AWS/GCP/Azure)
• Familiarity with experimentation frameworks and A/B testing practices
• Understanding of key ML concepts: classification, regression, clustering, dimensionality reduction
• Knowledge of API integration, containerization, and version control
• Ability to communicate technical solutions clearly across teams

Experience with recommendation systems, time-series forecasting, or natural language processing (NLP) is highly desirable.

Growth and Learning: Invest in Your Professional Journey

This role offers room to grow. We recognize that learning doesn’t stop at hiring. As part of our engineering team, you’ll gain:

• Ownership of projects that directly influence product direction
• Quarterly learning stipends for books, courses, or conference access
• Peer-learning and pairing sessions focused on new ML architectures
• Regular feedback cycles aligned with personal development goals
• Opportunities for cross-functional training and leadership coaching

Whether your goal is to specialize in a particular branch of AI or transition into a tech lead role, we’ll support your trajectory with transparent promotion paths and regular recognition of contributions.

Mission and Impact: Engineering AI for Ethical Innovation

Our company is committed to responsible innovation. In this role, you'll contribute directly by developing systems that support applications that benefit people and businesses while upholding ethical standards. We actively avoid model bias, ensure explainability, and build for accessibility.

From fraud detection and dynamic pricing to health diagnostics and learning personalization, our solutions prioritize fairness and transparency. You’ll help build intelligent products that solve real problems—without compromising integrity or trust.

Call to Action: Shape the Future with Machine Learning

Are you ready to drive innovation from anywhere in Canada? Take the next step in your career by joining an innovative team and gaining ownership of your impact. This is your chance to be part of a mission-driven company that uses data and intelligence to improve the way people work, shop, learn, and live.

Join us as a Remote Machine Learning Engineer and take the lead in building smarter, ethical, and practical solutions that deliver real results. Apply today—and start making an impact that matters.