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Entry Level Machine Learning Engineer Jobs in Quebec

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.

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.

Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

New

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

New

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

New

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

New

... machine learning methods: Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite * Documenting and testing ...

Minimum of 2 years in AI engineering, machine learning, deep learning and NLP solutions and applications. * Minimum 2 years of experience in designing & deploying AI / Machine Learning solutions ...

... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...

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Showing results 1-20

Entry Level Machine Learning Engineer information

See Quebec salary details

$21K

$87.2K

$186K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level machine learning engineer in Quebec is $87,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 Entry Level Machine Learning Engineer jobs in Quebec? For Entry Level Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Quebec are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Quebec as of June 2026, with employment types broken down into 11% Internship, 75% Full Time, 8% Part Time, and 6% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $87,195 per year, or $41.9 per hour.

Scientifique des Donnees / Data Scientist

mthree

Montreal, QC

Other

Posted 20 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.