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Machine Vision Application Engineer Jobs in Ontario

... Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D ... This role centers on advanced computer vision but integrates modern machine learning methodologies ...

Senior Machine Learning Engineer

Toronto, ON ยท On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Senior Machine Learning Engineer

London, ON ยท On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Senior Machine Learning Engineer

Oakville, ON ยท On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Senior Machine Learning Engineer

Ottawa, ON ยท On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions ... Advanced programming skills in Python, with practical experience using popular machine learning ...

... engineering drawings, blueprints, charts, and tables * repair machine tools and parts * fit and ... The application will assess your qualifications, personality traits and workplace preferences, and ...

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design ... vision coverage, access to company perks, life and disability insurance, retirement plan with ...

Application Security Engineer (REMOTE)

Ottawa, ON ยท Remote

CA$117K - CA$146K/yr

Medical/dental/vision insurance plan * Life insurance, short/long term disability, tuition ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

Machine Learning Engineer II

Toronto, ON ยท On-site

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... AI application and generalize across multiple use cases * Work with large-scale, real-world ...

Machine Learning Engineer II

Toronto, ON ยท On-site

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ... AI application and generalize across multiple use cases * Work with large-scale, real-world ...

Machine Learning Engineer II

Toronto, ON ยท On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an ... application. * Work with large-scale, real-world datasets that range from banking transactions ...

Showing results 41-60

Machine Vision Application Engineer information

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

What are the key skills and qualifications needed to thrive as a machine vision application engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What are popular job titles related to Machine Vision Application Engineer jobs in Ontario? For Machine Vision Application Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Vision Application Engineer jobs in Ontario look for? The top searched job categories for Machine Vision Application Engineer jobs in Ontario are:
What cities in Ontario are hiring for Machine Vision Application Engineer jobs? Cities in Ontario with the most Machine Vision Application Engineer job openings:
Infographic showing various Machine Vision Application Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Machine Learning Software Engineer

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Job Description


What's the opportunity?

RBC Borealis is looking for an enthusiastic software developer who's excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

  • To build cutting edge ML solutions throughout the research and product development lifecycle;

  • To play a key role in the design and development of Borealis' machine learning products;

  • To partner with RBC Borealis's research and product teams to ensure the seamless delivery of these products;

  • To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;

  • To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

  • Experience building modular and robust software systems in Python or similar language;

  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;

  • Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;

  • Experience building microservices, data pipelines and using relational and non-relational databases is a plus;

  • Experience working with data science tooling and deep learning frameworks is a plus;

  • Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

What's in it for you?

  • Be part of a dynamic & flexible working environment;

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • Leaders who support your development through coaching and managing opportunities;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

#Ll-POST

#TechPJ

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-27

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME