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Senior Machine Learning Engineer Jobs in Toronto, ON

The App Labb

Sr. Machine Learning Engineer

Toronto, ON · On-site

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 ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

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 ...

Dayforce

Sr. Engineer, Machine Learning

Toronto, ON · On-site

$100 - $130/hr

As a Senior Machine Learning Engineer, you will work on delivering ML components for innovative products such as Dayforce AI Assistant and Dayforce Agents. This role involves rapidly designing ...

New

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

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

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/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: 165-225K USD yearly plus benefits plus ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/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: 165-225K USD yearly plus benefits plus ...

Td

Senior Machine Learning Engineer

Toronto, ON

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 ...

Workday

Senior Machine Learning Engineer

Toronto, ON

Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python ...

Quincus

Machine Learning Engineer

Toronto, ON

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.

NTENT

Machine Learning Engineer

Toronto, ON · Remote

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 ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Toronto, ON

Senior Machine Learning Engineer information

See Toronto, ON salary details

$42.9K

$157.8K

$237.2K

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

As of Jul 13, 2026, the average yearly pay for senior machine learning engineer in Toronto, ON is $157,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,221.00 and $175,598.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Toronto, ON? For Senior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Senior Machine Learning Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Senior Machine Learning Engineer jobs? Cities near Toronto, ON 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 Toronto, ON as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $157,772 per year, or $75.9 per hour.

Sr. Machine Learning Engineer

The App Labb

Toronto, ON • On-site

Full-time

Re-posted 15 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.


Apply