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Remote Process Engineer Jobs in Toronto, ON (NOW HIRING)

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... process, please contact us at . This contact information is for accommodation requests only and ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... process, please contact us at . This contact information is for accommodation requests only and ...

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

... processes. * Develop AI-powered applications and intelligent agent solutions using Python and ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

... processes. * Develop AI-powered applications and intelligent agent solutions using Python and ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

MLabs

Senior Infrastructure Engineer

Toronto, ON · Remote

CA$170K - CA$220K/yr

Remote - Remote - Based In ET+2 / -3, NY Preferred Remote | Full-time Compensation: $170K - $220K ... Interview Process The selection process for this position consists of the following stages:

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Showing results 1-20

All JobsRemote Process Engineer JobsRemote Process Engineer Jobs in Toronto, ON

Remote Process Engineer information

See Toronto, ON salary details

$28.6K

$83.2K

$138.9K

How much do remote process engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote process engineer in Toronto, ON is $83,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,032.00 and $98,774.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Process Engineer and how do they interact with colleagues?

A typical day for a Remote Process Engineer involves analyzing process data, developing optimization strategies, creating technical documentation, and conducting virtual meetings with cross-functional teams such as operations, quality assurance, and project management. Much of the communication is carried out via video conferencing, collaborative project platforms, and email, making it important to be proactive and clear in updates. While working offsite, you'll still be expected to participate in team meetings, report progress, and seek input from on-site staff when needed. This structure enables you to maintain close collaboration and contribute meaningfully to project goals, despite the physical distance.

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

A Remote Process Engineer needs a strong background in engineering principles, process optimization, and data analysis, typically supported by a degree in chemical, mechanical, or industrial engineering. Familiarity with process simulation software (like Aspen HYSYS or AutoCAD), Six Sigma or Lean certifications, and experience with remote collaboration tools are usually required. Excellent communication skills, problem-solving abilities, and self-motivation are crucial to excel in a remote setting. These skills and qualities are vital to ensure efficient project execution, effective remote collaboration, and continuous improvement of processes in a distributed work environment.

What is a Remote Process Engineer job?

A Remote Process Engineer is responsible for designing, analyzing, and optimizing manufacturing or business processes while working remotely. They use data analysis, simulations, and process improvement techniques to enhance efficiency, reduce costs, and improve quality. This role often involves collaborating with cross-functional teams through virtual communication tools. Industries such as manufacturing, energy, and technology frequently hire remote process engineers to streamline operations. Strong problem-solving, technical expertise, and communication skills are essential for success in this role.

What are the most commonly searched types of Process Engineer jobs in Toronto, ON? The most popular types of Process Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Process Engineer jobs in Toronto, ON? For Remote Process Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Process Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Process Engineer jobs in Toronto, ON are:
Remote Process Engineer jobs near you
Infographic showing various Remote Process Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,198 per year, or $40 per hour.

Process Engineer, Pharmaceutical (Biologics)

Open roles at Optimyze1

Toronto, ON • On-site, Remote

Full-time

Posted 9 days ago

Be an early applicant

Job description

For Canada, you can be based in:

Toronto (GTA area), hybrid working

Montreal - remote

Vancouver -remote


We're hiring a Process Sales Engineer to work with industrial customers to support the deployment of AI-driven solutions in technical and operational environments.


This is a cross-functional role that combines engineering, customer collaboration, data analysis, and technical problem-solving. You'll work with a range of stakeholders to understand operational challenges, analyze process and production data, develop models and workflows, and help drive improvements using the company's platform.


The ideal candidate is comfortable engaging with technical teams, working with data and analytical tools, and translating technical findings into practical business outcomes.


Internally, you'll act as a technical subject matter expert and advocate for customer needs across manufacturing and process-related initiatives.


Externally, you'll support enterprise customers by partnering with engineering and operations teams to maximize value from the platform, whether by improving existing workflows or helping implement new solutions.


In collaboration with Sales, Product, and Engineering, you'll also contribute to identifying new use cases and shaping future platform capabilities.


What You'll Do


Customer Engagement & Project Delivery


  • Partner with customers to support deployment and adoption of platform solutions
  • Lead onboarding and implementation efforts across technical and operational environments
  • Build relationships with engineering, operations, and leadership stakeholders
  • Identify opportunities for operational improvement and data-driven insights
  • Translate customer challenges into actionable technical solutions and product feedback
  • Support projects from discovery through implementation and impact measurement


Technical Analysis & Problem Solving
  • Analyze operational and process datasets to identify trends, bottlenecks, and optimization opportunities
  • Develop analytical models, simulations, and workflows using Python and related tools
  • Work with industrial data systems and manufacturing datasets
  • Collaborate with product and engineering teams to improve platform functionality
  • Communicate technical findings to both technical and non-technical audiences
  • Support troubleshooting and continuous improvement initiatives in complex operational settings


What You'll Need
  • 5-7 years of experience in manufacturing, process engineering, or related industrial environments, with strong understanding of biologics manufacturing
  • Understanding of production, pilot, or laboratory-scale operations
  • Experience using Python or similar tools for analysis, modelling, or automation
  • Ability to work with operational and process data
  • Strong communication and stakeholder management skills
  • Problem-solving mindset with experience driving technical or operational improvements
  • Experience working in cross-functional technical teams
  • Experience in pharmaceutical manufacturing execution systems (MES)
  • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable