Remote Machine Learning Scientist Jobs in Canada
Search 30 work from home machine learning scientist positions available in Canada. Your career in truly remote companies - apply today.
2 days ago
Machine Learning Engineer integrating and optimizing AI solutions for water utilities using cutting-edge cloud technologies. Collaborating on end-to-end ML lifecycle and working with large datasets in an agile environment.
3 days ago
Job not on LinkedIn
Agent
2 - 10
AI Engineer for a neuroscience-based technology company, designing scalable AI systems to enhance product functionality and user experience. Collaborate with teams to drive AI features from concept to production.
4 days ago
Job not on LinkedIn
Data Scientist leveraging data analytics to drive business decisions at a fast-growing financial markets platform. Joining a remote team to build predictive models and analyze data insights.
November 26
Machine Learning Scientist developing AI models for aerospace. Collaborating with teams to navigate challenges in space technology and improve operational resilience.
November 21
Job not on LinkedIn
Data Scientist leading ML innovation at ResponsiveAds with strong opportunities for learning and growth. Collaborate with engineering teams to enhance backend systems and drive data insights.
November 21
Senior Machine Learning Engineer developing AI solutions to enhance safety and sustainability at Samsara. Collaborating with cross-functional teams to deliver core infrastructure and optimizations.
🇨🇦 Canada – Remote
💵 $132.6k - $171.6k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
November 20
Sr. Machine Learning Scientist & Engineer leading prompt design and validation efforts for LLM-powered features at Laivly. Collaborating with teams to ensure safe deployment of AI technologies.
November 12
AI Engineer developing AI agents and enhancing platform integration with APIs and data at Veriforce. Collaborating with cross-functional teams to improve user workflows and compliance.
November 11
Machine Learning Engineer focused on MLOps at Electronic Arts, transforming prototypes into production-ready services and building scalable ML pipelines.
November 10
Job not on LinkedIn
AI Engineer developing ML models for accessibility solutions at Level Access. Collaborating with product and engineering teams to leverage AI for innovative solutions.
November 7
Machine Learning Engineer developing and optimizing AI-powered features for various applications. Collaborating with cross-functional teams and driving advancements in generative content.
November 4
Job not on LinkedIn
Guidewire Software
1001 - 5000
Data Scientist designing and developing analytical solutions from big data sources for product enhancement. Collaborating with teams to generate actionable insights and support client services.
October 29
Senior Data Scientist developing advanced machine learning models for The Athletic's sports media products. Collaborating with data, product, growth, and engineering teams for optimization and automation.
October 28
AI Engineer developing production AI features across various modules at WellnessLiving. Focused on prompt engineering, microservices, and AI-driven business solutions.
October 28
Job not on LinkedIn
Data Scientist joining a team from top tech companies, focusing on machine learning projects and solving real-world problems.
October 28
Job not on LinkedIn
Data Scientist developing scalable machine learning models for a consulting firm. Join a world-class team from leading companies like Facebook and Uber.
October 10
Senior Machine Learning Engineer developing ML solutions to enhance physical operations at Samsara. Collaborating across teams to deliver core infrastructure and optimizations in a remote setting.
🇨🇦 Canada – Remote
💵 $150k - $194.2k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
October 2
Data Scientist at Super.com working with data to enhance decision-making through predictive modeling. Collaborating with teams to uncover insights and solve business problems from large datasets.
🇨🇦 Canada – Remote
💵 $77k - $134k / year
💰 $25M Debt Financing on 2023-04
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
September 25
Job not on LinkedIn
Build scalable data pipelines and Azure ML infrastructure for GoMaterials. Support ML/OR experiments, validation, deployment, and monitoring.
September 18
Job not on LinkedIn
Data Scientist building scalable ML models for startups and Fortune 500 clients at Toronto-based consulting firm.
+11 More Machine Learning Scientist Jobs Available!
Top Companies Hiring Remote Machine Learning Scientists in Canada
Remote machine learning scientist salary expectations in Canada
The average salary for remote machine learning scientists in Canada is CA$124,152 per year. This is based on data from 14 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior Machine Learning Scientist (1-2 yrs) | 3 | CA$185,625 |
🟡 Mid-level Machine Learning Scientist (2-4 yrs) | 5 | CA$131,250 |
🟠 Senior Machine Learning Scientist (5-9 yrs) | 4 | CA$0 |
🔴 Lead Machine Learning Scientist (10+ yrs) | 2 | CA$262,500 |
How long does it take for companies to hire a remote machine learning scientist in Canada?
We analyzed 11 job listings in the last year and found it takes about 23 days for employers to close a job opening.
The most in-demand skills for machine learning scientists in Canada
We reviewed 14 job postings and found the top 10 skills employers are asking for most often are:
Frequently asked questions
You need proficiency in programming languages like Python or R, strong statistical and mathematical skills, and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Problem-solving, data analysis, and communication skills are also crucial for remote work.
Typically, you need a degree in computer science, mathematics, data science, or a related field. A strong portfolio showcasing projects and practical experience in machine learning can be more important than a degree. Advanced degrees can be advantageous.
Responsibilities include designing and implementing machine learning models, analyzing and preprocessing data, evaluating model performance, collaborating with data engineers and other teams, and staying updated with the latest ML research and techniques.
Benefits include flexible working hours, the ability to work from any location, access to a global job market, and reduced commuting costs. Remote work also allows for a better work-life balance and opportunities to collaborate with diverse teams.
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Frequently asked questions
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