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Machine Learning Engineer Jobs in Montreal, QC (NOW HIRING)

Apertera

Generative AI Engineer

Montreal, QC · On-site

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Fed IT

Data Engineer

Montreal, QC · On-site

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

TELUS

L4 Technical Professional

Montreal, QC · On-site

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

Flinks

Senior Data Engineer

Montreal, QC · Remote

The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ... Machine Learning Platform Exposure: Experience supporting machine learning workflows, feature ...

LawZero

Senior Distributed ML Engineer

Montreal, QC

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...

AC780

Paytm Senior Software Engineer

Montreal, QC · On-site

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

LawZero

Senior ML Research Developer

Montreal, QC

We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Montreal, QC

Machine Learning Engineer information

See Montreal, QC salary details

$64.3K

$142.6K

$217.9K

How much do machine learning engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning engineer in Montreal, QC is $142,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,681.00 and $165,532.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Montreal, QC as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,553 per year, or $68.5 per hour.
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Posted 9 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary
  • Transparent, mission-driven culture focused on continuous learning