2

Remote Machine Learning Engineer Jobs in Toronto, ON

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 ...

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

... Scientist or Machine learning. * Strong programming skills in languages such as Python * Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow * Experience with cloud compute ...

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow). * Strong software engineering fundamentals. You write efficient ...

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Showing results 41-60

Remote Machine Learning Engineer information

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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

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

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

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

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

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

What cities near Toronto, ON are hiring for Remote Machine Learning Engineer jobs?

Cities near Toronto, ON with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Manager, Data Engineering

Toronto, ON • On-site, Remote

Moneris
1 - 5K employees

CA$142K - CA$177K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 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.