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Remote Machine Learning Engineer Jobs in Ontario

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... engineering pipelines, and data science/machine learning projects; prove out the Databricks ...

Sanofi EU

Senior Data Engineer

Brampton, ON · On-site +1

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

Sanofi EU

Senior Data Engineer

Toronto, ON · On-site +1

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

Sanofi EU

Senior Data Engineer

Unionville, ON · On-site +1

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

Sanofi EU

Senior Data Engineer

Mississauga, ON · On-site +1

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

Sanofi EU

Senior Data Engineer

Maple, ON · On-site +1

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

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All JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Ontario

Remote Machine Learning Engineer information

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 is a Remote Machine Learning Engineer job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Ontario? The most popular types of Machine Learning Engineer jobs in Ontario are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Ontario? For Remote Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Remote Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Remote Machine Learning Engineer jobs? Cities in Ontario with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Ontario as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 44% Physical, 4% Hybrid, and 52% Remote job distribution.
Intermediate DevOps Engineer

Intermediate DevOps Engineer

Anvil International, LLC

Ottawa, ON • On-site, Remote

CA$120K - CA$160K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Job description

Intermediate DevOps Engineer


About ANVIL


ANVIL is a trusted partner in the defence industry, delivering cutting-edge solutions that enhance military capabilities and operational effectiveness. We extend our expertise to public safety, law enforcement, and national security organizations, accelerating mission-critical decision-making through analytical tools, automations, and game-changing machine learning capabilities. ANVIL helps organizations discover, manage, enrich, fuse, and exploit the information available to them in support of Information Dominance and Decision Advantage.


Job Type: Full Time Remote (Hybrid option available for those in the Ottawa area - 55 Murray Street Office)


Total Compensation: CAD $120,000 to $160,000 base salary - Placement within range based on experience and qualifications


Role (Description)


As an Intermediate DevOps Engineer, you will play a pivotal role in advancing our software deployment processes to ensure reliability and repeatability across multiple delivery mechanisms, including Cloud Deployments, Virtual Machines, and Appliance Deployments. You will get the opportunity to roll up your sleeves and support our customers with software product provisioning, maintenance, and troubleshooting. Furthermore, you will use your knowledge of industry best practices to provide strategic guidance to engineering leadership on how to most effectively streamline current practices in order to make our company more effective at delivering software rapidly and efficiently.


We value people who have an ingrained sense of accountability to the team around them. As an ideal candidate, you are not only technically qualified but you demonstrate a strong work ethic and take pride in your craft. You also collaborate and communicate effectively with the other talented and motivated members of our organization.


We encourage our employees to expand their horizons by developing new skills, sharing crazy ideas, and taking risks. As a senior engineer, you lead by example and provide mentorship to other employees in your field of expertise.


This is a full-time position based in Canada that offers a hybrid option for those in the National Capital Region. Eligible candidates must either possess or be eligible to obtain a Government of Canada Secret or Top Secret security clearance.


Required Qualifications


Security Clearance


Eligible for Government of Canada Secret or Top Secret security clearance


Education & Experience


  • Bachelor's degree in Software Engineering, Computer Science, or related technical field, or equivalent experience
  • Minimum of 3+ years of experience in DevOps or automation engineering roles
  • A minimum of 3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes)
  • A minimum of 2+ years of experience with CI/CD tools and automated testing frameworks
  • Some experience implementing DevSecOps practices in production environments
  • Experience automating software deployment processes across multiple delivery mechanisms


Skills & Competencies


  • Familiarity with automated testing and continuous integration tools (GitLab, GitHub, Jenkins X, other)
  • Familiarity with containerization and orchestration technologies such as Docker, Docker Compose and Kubernetes
  • Knowledge of Linux administration, system architecture, virtual machine administration and hypervisor technologies (QEMU/KVM, VMware ESXi), and Cloud platforms such as GCP, AWS, and Azure would all be beneficial
  • Strong analytical mindset with exceptional attention to detail
  • Excellent verbal and written communication skills, with the ability to clearly articulate technical strategies to both technical and non-technical audiences
  • Demonstrated ability to work collaboratively across development teams and with engineering leadership
  • Strong organizational skills and the ability to manage multiple automation initiatives simultaneously
  • Proven ability to troubleshoot complex infrastructure and deployment issues
  • Scripting experience (Shell, Bash, Go, Python, or other)


Preferred Qualifications


  • Experience with Python backend frameworks
  • Stream processing experience (Kafka, message brokers)
  • Experience with PostgreSQL, OpenSearch, and Elasticsearch
  • Experience working in or closely with defense, public safety, or national security organizations


Key Responsibilities


CI/CD Strategy and Architecture

  • Partner with engineering teams and DevOps leadership to contribute to CI/CD strategies for the organization
  • Create and maintain automated build pipelines triggered by source control activity
  • Document automation approaches based on security assessments and regulatory requirements
  • Implement DevOps best practices and frameworks across the entire platform


Build and Deployment Automation


  • Assist in making build and deployment processes more streamlined, robust, and repeatable across supported delivery mechanisms (cloud, virtual machines, appliance-based)
  • Automate the deployment and migrations of new and existing deployments as the code base evolves
  • Run comprehensive test suites to ensure code functionality and security before production
  • Establish and maintain containerized application deployments using Docker and Kubernetes
  • Implement infrastructure as code practices for consistent and reproducible deployments
  • Provide regular status updates on deployment pipeline health and automation metrics


Security and Compliance Management


  • Apply DevSecOps practices by performing security analysis, including static code analysis and dependency vulnerability scanning
  • Integrate security checks into development, deployment, and CI/CD workflows
  • Ensure all deployments meet strict security and operational standards
  • Implement automated compliance checking and reporting mechanisms
  • Champion security standards and best practices across the engineering organization


Technical Support and Collaboration


  • Participate actively in sprint planning, technical reviews, and architecture discussions
  • Offer insights to enhance software provisioning, maintenance, and support procedures
  • Collaborate with development teams to optimize workflows and resource allocation


Why Join Us?


Our Mission

This is more than just a job; you'll be part of a team of dedicated professionals who share a common goal: to increase the safety and security of Western democracies through the effective use of data. Our workplace is not just a job; it's a community of like-minded people working together to make a positive impact on the world we live in.


Compensation & Benefits

  • Competitive salaries
  • Flexible health benefits package through Equitable
  • Industry-leading employer retirement contributions match


Work Environment

  • Hybrid work model combining remote flexibility with meaningful in-person collaboration
  • Modern office in the historic Carriageway building in beautiful downtown Ottawa
  • Access to downtown amenities, transit, and Ottawa's vibrant cultural scene


What You'll Experience

  • Work alongside dedicated professionals who value excellence and collaboration
  • Contribute to building the team behind technologies with real-world security impact
  • Ground-floor opportunity to shape people operations as ANVIL scales
  • Join a culture where your expertise and ideas matter


Use of AI in Recruitment: ANVIL does not use artificial intelligence to screen, assess, or select applicants for this position. All applications are reviewed by members of our recruitment team.

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