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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

LawZero

Senior ML Research Developer

Montreal, QC · On-site

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 ...

YO AI Labs

AI/ML Engineer - Remote

Montreal, QC · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Manulife

Agentic Engineer, Innovation

Montreal, QC

Build predictive, generative, and agentic AI solutions using sound machine learning, evaluation, and analytics practices. * Engineer reusable, platform-ready components, prompts, connectors ...

Damotech

Junior Project Manager

Boisbriand, QC · On-site

Are you passionate about engineering and travelling? Do you wish to join a fast-growing company ... Unparalleled learning and career development opportunities o Une formule d'horaire de travail ...

Damotech

Junior Project Manager

Boisbriand, QC · Hybrid

Are you passionate about engineering and travelling? Do you wish to join a fast-growing company ... Unparalleled learning and career development opportunities o Une formule d'horaire de travail ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You ... You enjoy and are highly proficient in Python programming (knowledge of C++ is considered an asset)

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Quebec

Junior Machine Learning Engineer information

See Quebec salary details

$26K

$119.2K

$207.5K

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

As of Sep 3, 2026, the average yearly pay for junior machine learning engineer in Quebec is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

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The most popular types of Machine Learning Engineer jobs in Quebec are:

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For Junior Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Engineer jobs in Quebec look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Quebec are:

What cities in Quebec are hiring for Junior Machine Learning Engineer jobs?

Cities in Quebec with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 59% Full Time, 29% Part Time, and 11% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Senior ML Research Developer

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

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 difficult training and inference problems using very large models.

Key responsibilities

  • Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
  • Design and implement workflows for research experiments across toy scenarios and large scale projects.
  • Develop tools and libraries to optimize the use of computing resources.
  • Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

  • A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
  • 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
  • Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure).
  • Familiarity with containerization tools (e.g., Docker, Kubernetes).
  • Familiarity with data infrastructures and platforms (e.g., vector databases).
  • A track record of contributing to high-quality research projects in deep learning.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

Apply