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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

Coveo

Senior II Applied Scientist (NLP)

Montreal, QC

Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...

Apply Early

Coveo

Senior II Applied Scientist (NLP)

Montreal, QC

Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles. * Act as a technical reference within the team, guiding ...

Apply Early

Maya HTT

AI Presales Engineer

Montreal, QC

Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.

Maya HTT

AI Presales Engineer

Montreal, QC

Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.

Apply Early

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All 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 Jul 2, 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 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 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 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.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns 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.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

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.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Quebec? 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 June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Scientifique des Donnees / Data Scientist

mthree

Montreal, QC • On-site

Other

Posted 10 days ago

Job description

**English version below**

Doit etre local a Montreal

Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement?

Nous recherchons une personne souhaitant faire partie d'une equipe dynamique en tant que Data Scientist pour l'un de nos clients. Le/la candidat(e) travaillera au sein d'une equipe/squad de machine learning. Cette equipe developpe des solutions d'intelligence artificielle, incluant le machine learning et l'IA generative (Gen AI). Le/la candidat(e) devra etre a l'aise avec le developpement en Python, l'analyse predictive et le prompt engineering. Il/elle devra etre capable de travailler avec differents clients et experts metier (SME), de comprendre les besoins business, de developper du code Python approprie et de creer des modeles de machine learning avec des preuves et analyses demontrees. Les bons candidats devront etre familiers avec le cycle de vie des solutions de machine learning et d'IA generative, ainsi qu'avec leur maintenance, incluant le suivi continu et la surveillance des performances.

  • Contribuer au developpement et a la maintenance de modeles de machine learning pour repondre a des problematiques metiers.
  • Participer a l'evaluation des modeles, a l'optimisation des parametres, a la selection des variables et aux experiences de calibration des modeles pour des projets d'analyse predictive.
  • Contribuer aux activites de prompt engineering pour l'analyse et l'exploration des donnees.
  • Realiser des tests reguliers et des analyses de performance.
  • Mener les experiences de benchmarking necessaires.

A propos de mtrois :

Depuis 2010, mtrois aide ses clients a resoudre leurs defis commerciaux et technologiques. Nous sommes un cabinet de conseil en technologie et en affaires, avec une main-d'uvre mondiale qui realise des projets IT et business majeurs pour certaines des plus grandes institutions financieres au monde.

Services principaux :

  • Conseil et accompagnement
  • Services manages
  • Programme Alumni Graduate
  • Programme Alumni Pro

Nous avons une presence mondiale et sommes experts dans la fourniture de services de qualite exceptionnelle a notre clientele, couvrant les domaines suivants : Risque, Reglementation & Conformite ; Produits fournisseurs ; Support applicatif ; Developpement applicatif ; Cybersecurite & Securite de l'information ; Science des donnees et DevOps.

Notre programme Expert offre aux professionnels experimentes un acces a des postes de haut niveau dans les secteurs de la technologie, de la finance, de l'aviation et de l'assurance. Rejoignez-nous pour travailler sur des projets technologiques de pointe, allant des plateformes de trading internationales aux applications critiques pour les compagnies aeriennes de premier plan. Nous recrutons des professionnels desireux de faire progresser rapidement leur carriere dans la technologie ou les operations au sein d'organisations mondiales prestigieuses.

Competences requises :

  • Baccalaureat en informatique ou dans un domaine connexe
  • 5 ans et plus d'experience en science des donnees / machine learning
  • Experience pratique dans la conception et le deploiement de solutions ML et Data Science pour des problematiques reelles
  • Solide comprehension des modeles de machine learning, des concepts fondamentaux, des bonnes pratiques et des methodes d'analyse
  • Experience ou bonne comprehension des modeles de langage (LLMs), notamment OpenAI, incluant le prompt engineering, les tests et l'evaluation des performances
  • Excellentes competences en science des donnees, statistiques et analytique avancee
  • Solides capacites de resolution de problemes, avec un esprit innovant
  • Maitrise du developpement Python
  • Bonnes competences en communication et collaboration avec des equipes techniques et metiers

Chez mtrois, nos valeurs soutiennent des coequipiers courageux, des moteurs de changement et des champions de l'apprentissage, tout en veillant a la sante et au bien-etre de tous les employes. Nous sommes fiers de celebrer la diversite de chaque individu qui contribue a faire de mtrois l'entreprise qu'elle est aujourd'hui et qu'elle sera demain. Nous valorisons la diversite au sein de mtrois et avec nos entreprises partenaires, et nous sommes fiers d'offrir un environnement ou tous nos collegues peuvent s'epanouir. Cela signifie promouvoir une forte culture d'egalite mais, surtout, d'inclusion. 

Les candidats doivent etre actuellement autorises a travailler a temps plein au Canada. L'entreprise ne sponsorisera pas de visas de travail.

**Must be local to Montreal**

Want to work in technology at an investment bank?

We are looking for someone to be a part of a dynamic team as a Data Scientist for one of our clients. The candidate will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development, predictive analytics and prompt engineering. The candidate should be able to work with different Clients/SME's and understand the business requirements proper python code development, develop machine learning models with proven evidence and analysis. Good candidates should be familiar with machine learning model/Gen AI based solutions lifecycle and maintenance including ongoing monitoring.

  • Contribute to development and maintenance of Machine Learning models for business problems.
  • Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
  • Contribute towards prompt engineering for data analysis and discovery.
  • Conduct regular testing and performance analysis.
  • Conduct necessary in benchmarking experiments.

About mthree:

Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide.

  • Core Services
  • Consulting and Advisory
  • Managed Services
  • Alumni Graduate Program
  • Alumni Pro Program

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious global organizations.

Skills Required:

  • Bachelor's in computer science or related field
  • Years of experience: 5+
  • Hands-on experience in building ML and Data Science solutions for real world problems
  • Understanding of ML models and concepts, good practices and analysis
  • Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
  • Strong data science and statistical analytics skills.
  • Strong in problem-solving with innovative mindset
  • Strong Python development skills
  • Good communication skills

At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion.

Applicants must be currently authorized to work in Canada on a full-time basis. The Company will not sponsor applicants for work visas.

Apply