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Senior Machine Learning Engineer Jobs in Laval, QC

TouchTunes

Senior Data Scientist

Montreal, QC

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of ... Experience with developing Machine Learning and statistical models. * Excellent programming skills ...

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 ...

Trane Technologies plc

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a highly resourceful Senior Data Scientist to join our international AI in ... machine learning, and generative AI solutions that support engineering use cases such as data ...

trane technologies

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a highly resourceful Senior Data Scientist to join our international AI in ... machine learning, and generative AI solutions that support engineering use cases such as data ...

Valtech

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

Apply machine learning and AI methods to support classification, scoring, summarization, pattern ... Collaborate with AI Scientists, AI Engineers, Analytics Engineers, Data Engineers, and Architects ...

Valtech

Scientifique des donnees senior

Montreal, QC · On-site

Role Nous recherchons un(e) Data Scientist Senior pour rejoindre une equipe hautement collaborative ... Ce poste se situe a l'intersection de la Data Science, du Machine Learning et de l'ingenierie, avec ...

New

Stay22

Senior ML/DL Developer

Montreal, QC · On-site

... · se senior ML/DL au sein de la Neuro Squad, vous serez responsable de concevoir et ... Responsabilités principales Machine learning et logique produit * Assumer la responsabilité de la ...

United Airlines

GenAI Engineer

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will develop advanced machine learning algorithms, optimize open-source frameworks, and ... Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ...

Intact Financial

Senior Data Scientist

Montreal, QC · On-site

  • Life

  • Retirement

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

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Laval, QC

Senior Machine Learning Engineer information

See Laval, QC salary details

$44.9K

$164.8K

$247.8K

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

As of Aug 13, 2026, the average yearly pay for senior machine learning engineer in Laval, QC is $164,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,096.00 and $183,460.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Laval, QC are hiring for Senior Machine Learning Engineer jobs? Cities near Laval, QC with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Laval, QC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, 1% Temporary, 4% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $164,836 per year, or $79.2 per hour.

Senior Data Scientist

TouchTunes

Montreal, QC

Full-time

Re-posted 15 days ago

Job description

Senior Data Scientist
Montréal, Canada
The Sr. Data Scientist will conduct detailed analysis of data sets and provide advanced analytics solutions to solve business problems, whilst leveraging traditional statistical, machine learning and optimization techniques. 
The ideal candidate is not only passionate about data but also wants to be part of an adventure that unites data with music and consumer products.  We are looking for someone who has an analytical mindset, who is resourceful and who wants to have a real impact on products, customer experience and the way we operate.
You will have the opportunity to join a young and growing team focused on innovation and driving impactful business solutions, allowing for an environment of continuous learning.
What your day to day looks like:
  • Transform complex databases compiled from different sources within the organization; Selecting and employing advanced statistical procedures to obtain actionable insights
  • Interpret, translate, and communicate analytical findings to business stakeholders through storytelling, visualization and conceptual parallels
  • Apply statistical or machine learning knowledge to specific business problems and data.
  • Develop innovative solutions for trend recognition using machine learning and advanced statistics. 
  • Use data science techniques to find data patterns, anomalies, and optimization opportunities.
  • Execution, evaluation, and reporting of A/B testing amp; cross-validating models to ensure their generalizability
  • Producing and sharing non-technical reports that detail the successes and limitations of each project
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

What you bring to the table:
  • Education in Statistics, Mathematics, Quantitative Methods, or a related field.
  • Solid experience in analytics / data science with a focus on driving business decisions.
  • Experience with developing Machine Learning and statistical models.
  • Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas, Scipy, Numpy, Matplotlib), Spark, etc.
  • Solid problem-solving approach, using statistics, analytics and reports. 
  • Experience with Consumer Products, and/or analyzing user behavior to better drive business decisions. 
  • Excellent communication skills, both verbal and written.
  • Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
  • Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
  • Compliance with prevailing ethical standards
What’s in it for you:
  • Working alongside a bunch of super talented and friendly people.
  • A fun, diverse, open and fast-paced environment focused on family atmosphere and creating an off-the-hook user experience.
  • Challenging and stimulating projects.
  • Working with modern techs, in a culture that likes to drive constant innovation.
  • 50% off your monthly OPUS subscription.
  • Free Access to a virtual health care application. Long gone are the days of waiting 8 hours at the clinic. 
  • Conferences, training on the latest and greatest techs, weekly presentations and more.
  • Very competitive insurance package which is mostly covered by TouchTunes. 
  • Beautiful offices right next to Jarry Park. 
  • Flexible hours and working environment.
Scientifique de données Sénior
Montréal, Canada
Le Scientifique de Données Sénior effectuera une analyse détaillée d'ensembles de données et fournira des solutions analytiques avancées pour répondre à des enjeux commerciaux, tout en tirant parti des techniques statistiques traditionnelles, d'apprentissage automatique et d'optimisation. 
Le candidat idéal est non seulement passionné par les données, mais il veut aussi faire partie d'une aventure qui combine la gestion des données à la musique et aux produits de consommation. 
Nous recherchons un candidat possédant un esprit analytique, qui est débrouillard et désireux d'avoir un impact réel sur les produits, l'expérience client et notre mode de fonctionnement. Vous aurez l'opportunité de vous joindre à une équipe jeune et en pleine croissance, centrée sur l'innovation et la génération de solutions commerciales percutantes, permettant un environnement d'apprentissage continu.
En quoi consistera votre travail quotidien ?
  • Transformer des bases de données compilées complexes provenant de différentes sources au sein de l'organisation ; Sélectionner et employer des procédures statistiques avancées pour obtenir des informations exploitables
  • Interpréter, traduire et communiquer les résultats d'analyse aux parties prenantes de l'entreprise par le biais de récits, de visualisations et de parallèles conceptuels
  • Appliquer les connaissances statistiques ou d'apprentissage automatique à des problèmes commerciaux et des données spécifiques
  • Développer des solutions novatrices pour la reconnaissance des tendances en utilisant l'apprentissage automatique et les statistiques avancées
  • Utiliser des techniques de science des données pour identifier des modèles de données, des anomalies et des opportunités d'optimisation
  • Exécuter, évaluer et produire des rapports de tests A/B et de validation croisée des modèles pour assurer leur généralisation
  • Produire et partager des rapports non techniques détaillant les points forts et les limites de chaque projet
  • Se tenir informé des évolutions de la science des données et des domaines connexes pour s'assurer de la pertinence des résultats
Ce que vous apportez:
  • Une formation en statistiques, en mathématiques, en méthodes quantitatives ou dans un domaine connexe
  • Solide expérience en analytique / science des données, axée sur la prise de décisions commerciales
  • Expérience dans le développement de modèles statistiques et d'apprentissage automatique
  • Excellentes compétences en programmation à partir d'environnements notebook, par exemple Jupyter, Databricks, et familiarité avec SQL, Python (y compris les bibliothèques DS standard telles que Pandas, Scipy, Numpy, Matplotlib), Spark, etc
  • Solide approche en matière de résolution de problèmes, à l'aide de statistiques, d'analyses et de rapports 
  • Expérience des produits de consommation et/ou de l'analyse du comportement des utilisateurs pour mieux orienter les décisions commerciales 
  • Excellentes aptitudes en communication, tant à l'oral qu'à l'écrit
  • Capacité à relayer des idées en termes simples, de sorte qu'elles puissent être utilisées pour éclairer les décisions commerciales
  • Capacité à favoriser un environnement de travail sain et stimulant, propice au travail d'équipe
  • Respect des normes éthiques en vigueur
Ce que vous y gagnerez :
  • Travailler aux côtés d'un groupe de personnes super talentueuses et sympathiques
  • Un environnement amusant, diversifié, ouvert et dynamique, axé sur l'atmosphère familiale et la création d'une expérience utilisateur hors du commun
  • Des projets stimulants et passionnants
  • Travailler avec des technologies modernes, dans une culture qui favorise l'innovation constante
  • 50% de réduction sur votre abonnement mensuel à OPUS
  • Accès gratuit à une application virtuelle de soins de santé. L'époque où il fallait attendre 8 heures à la clinique est révolue 
  • Conférences, formations sur les dernières et meilleures technologies, présentations hebdomadaires et plus encore
  • Programme d'assurance très compétitif qui est en grande partie assumée par TouchTunes 
  • Bureaux magnifiques juste à côté du parc Jarry 
  • Horaires et environnement de travail flexibles

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