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Remote Machine Learning Engineer Jobs in Montreal, QC

Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient ... Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... semi-supervized Machine Learning solutions. You know Statistical Models, Optimization and ...

ML Ops Engineer (m/f/d) Innovative ideas are the hallmark of our successes and move us on. We are ... Development, implementation, and monitoring of the Machine Learning Operations framework to ...

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... machine learning) and internet law. * Support product, commercial, and strategic initiatives by ...

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... machine learning) and internet law. * Support product, commercial, and strategic initiatives by ...

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Remote Machine Learning Engineer information

See Montreal, QC salary details

$120.2K

$164.5K

$196.9K

How much do remote machine learning engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote machine learning engineer in Montreal, QC is $164,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,591.00 and $184,479.00 per year, depending on experience, location, and employer.

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. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Montreal, QC? The most popular types of Machine Learning Engineer jobs in Montreal, QC are:
Senior HVAC Controls & Automation Engineer (BAS) - remote

Senior HVAC Controls & Automation Engineer (BAS) - remote

trane technologies

Montreal, QC • On-site, Remote

Full-time

Posted 14 days ago


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 286 frontline employees who took The Breakroom Quiz

108th of 518 rated manufacturers


Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.

What's in it for you:

A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.

BrainBox AI utilizes self-adapted artificial intelligence technology to proactively optimize the energy consumption of one of the largest climate change contributors: Buildings. Our AI engine supports a self-operating building that requires no human intervention. Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption. An exciting opportunity awaits the right candidate to be part of a fast-growing company. We are seeking anSenior HVAC Controls & Automation Engineer (BAS).

What you will do:

  • Collaborate with internal and external customers to design and implement innovative HVAC control sequences. Provide experttroubleshootingsupport and guidance to resolve system issues. Advise stakeholders on optimizing and enhancing control system performance to meet operational and energy efficiency goals
  • Coordinate with development and product teams to automate deployments and develop tools that streamline system rollouts, including products powered by our AI-driven optimization algorithms.
  • Support, debug, and continuously improve global smart building deployment tools, algorithms, templates, and processes to ensure scalability and reliability.
  • Develop and maintain web-based monitoring, data-driven analytics, and building control systems meeting internal and external client needs.
  • Collaborate cross-functionally to test, troubleshoot, bug-fix, and implement solutions across all deployed technologies-including AI algorithms and building controls.
  • Implement automation and process improvements for sustainable, self-operating services.
  • Manage new tools and features user acceptance testing and knowledge transfer to Operations team
  • Document work processes and technical procedures, including deployed algorithms, internal tools, and systems.
  • Balance priorities and time across multiple projects, ensuring on-time deliverables and accurate timesheet reporting.
  • Perform other related tasks as assigned.

What you will bring:

  • Bachelor's degree in Mechanical Engineering, HVAC Controls Engineering, or a related field.
  • 5+ years' experience in smart building or automation contexts.
  • Demonstrable experience working with, supporting, or deploying technical solutions and solid understanding of software engineering concepts, strategies, and best practices.
  • Familiarity with HVAC systems, building automation systems (BAS), and communication protocols (BACnet,Modbus,LonWorks), as well as control hardware.
  • Ability to read and interpret mechanical and electrical schematics.
  • Strongtroubleshootingand analytical skills.
  • Excellent communication and teamwork abilities; able to work in Agile frameworks.

Nice to Have

  • Familiarity with cloud platforms and deployment automation.
  • Experience with AI, machine learning, or IoT in smart building contexts.
  • Experience with programming platforms such as Trane Tracer, Siemens Desigo, Honeywell WEBs, Distech Controls, Niagara Framework, and Johnson Controls Metasys.

Language Requirements

French-English bilingualism is required.

In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

$66,300.00 - $120,084.99

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US