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Remote Machine Learning Jobs in Toronto, ON (NOW HIRING)

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning ...

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Develop high-quality data for state-of-the-art large language models ... PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or ...

McKesson

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

MCKESSON

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

McKesson

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and ... The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ...

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science ... Strong command of graduate-level CS theory , algorithms , systems design , and/or machine learning

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Veem

Principal Engineer (Remote)

Toronto, ON · Remote

Remote within Canada Build the Future of Global Payments Veem is transforming how businesses move ... AI agents, LLM integrations, intelligent automation, machine learning platforms, or AI-enabled ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Toronto, ON

Remote Machine Learning information

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Toronto, ON?

The most popular types of Machine Learning jobs in Toronto, ON are:

What are popular job titles related to Remote Machine Learning jobs in Toronto, ON?

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

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

The top searched job categories for Remote Machine Learning jobs in Toronto, ON are:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Manager, Data Engineering

Moneris

Toronto, ON • On-site, Remote

CA$142K - CA$177K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Your Moneris Career - The Opportunity

As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms that power Moneris' business operations, analytics, and data-driven decision-making.

This role offers the opportunity to shape the future of Moneris' enterprise data ecosystem through platform modernization, cloud transformation, and engineering excellence. You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes.

Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Reporting Relationship: You will report to the Director, Data Engineering

Posting Type: Replacement Position

Salary Range: The expected base salary range for this role is $142,000 - $177,000

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

  • Lead and develop a high-performing Data Engineering team through coaching, mentorship, and performance management.

  • Define and execute the roadmap for enterprise data platforms, pipelines, and services.

  • Lead Snowflake migration initiatives and modernization of legacy enterprise data warehouse (EDW) environments.

  • Oversee the design, development, and operation of secure, scalable batch and real-time data solutions.

  • Establish engineering standards, development practices, and operational processes to improve platform reliability and performance.

  • Partner with Architecture, Governance, Security, and Product teams to implement enterprise data capabilities.

  • Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.

  • Build and enhance CI/CD pipelines, automated testing frameworks, and data quality controls.

  • Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best practices.

  • Monitor platform health through observability, service metrics, incident management, and continuous improvement.

  • Optimize data platform performance, scalability, operational efficiency, and cloud spend.

  • Lead prioritization and delivery of strategic data engineering initiatives while managing risks and stakeholder expectations.

Your Moneris Career - What you bring

Required Qualifications

  • University degree in Computer Science, Engineering, or a related discipline; equivalent experience will be considered.

  • 10+ years of progressive experience in Data Engineering and enterprise data platform delivery.

  • Experience leading engineering teams and delivering large-scale data solutions in complex enterprise environments.

  • Hands-on experience with modern data platforms such as Snowflake and Databricks.

  • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.

  • Strong knowledge of cloud platforms including AWS, Azure, or GCP.

  • Experience with SQL, NoSQL, and distributed data processing frameworks.

  • Proficiency in Python, Scala, Java, or similar programming languages.

  • Experience establishing engineering standards, CI/CD practices, automation frameworks, and operational processes.

  • Strong understanding of DataOps, MLOps, data quality, security, and governance principles.

  • Strong stakeholder management and communication skills with the ability to influence cross-functional teams and executive stakeholders.

  • Proven ability to balance strategic planning with execution and operational excellence.

Preferred Qualifications

  • Experience leading enterprise Snowflake migration and modernization programs.

  • Experience supporting machine learning platforms and feature engineering pipelines.

  • Experience implementing Infrastructure as Code (IaC) frameworks.

Your Moneris Career - What you get

At Moneris, we believe in empowering you to succeed-personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.

  • Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).

  • Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.

  • Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.

  • Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.

  • Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.

  • Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.

#LI-Hybrid

#TECH-IND

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.

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