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Sr Machine Learning Engineer Jobs in Ontario (NOW HIRING)

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$170K - CA$250K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...

As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

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Sr Machine Learning Engineer information

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

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

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Ontario? For Sr Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Sr Machine Learning Engineer jobs in Ontario are:
Infographic showing various Sr Machine Learning Engineer job openings in Ontario as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Sr. Machine Learning Engineer

The App Labb

Toronto, ON

Full-time

Posted 28 days ago


Job description

About Us:
The AppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making.

The Opportunity
Summary

We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure.
What you will do?

  • Architect, build, and deploy end-to-end ML pipelines for production workloads.
  • Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.
  • Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)
  • Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQueryfor training and inference at scale.
  • Collaborate with cross-functional teams to define requirements and deliver impactful AI features.
  • Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.

Optimize model performance and system efficiency to meet production level SLAs.
What you'll need?

  • 5+ years of experience designing and deploying production-grade ML systems at scale.
  • Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management.
  • Hands-on experience with AWS, Azure or GCP.
  • Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow.
  • Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery.
  • Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining.
  • Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus.
  • Excellent communication and leadership skills, with a proven ability to work in collaborative teams.
    Competencies
    • Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production.
    • Knowledge of distributed systems and streaming data pipelines.
    • Certifications in Cloud Architectures

Why Join Us?

Work on large-scalecloud-based data platformswith cutting-edge technologies.
Collaborate with a dynamic, innovative, and data-driven team.
Competitive salary
Opportunities for career growth and continuous learning.


Why you'll love TheAppLabb?
We are proud to be certified as a "Great Place to Work, Canada". We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility.

Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)
We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

TheAppLabb's strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.