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Machine Learning Architect Jobs in Ontario (NOW HIRING)

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful ... Architect, build, and deploy end-to-end ML pipelines for production workloads. * Design scalable ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful ... Architect, build, and deploy end-to-end ML pipelines for production workloads. * Design scalable ...

Data Architect

Toronto, ON ยท Hybrid

CA$120K - CA$150K/yr

About The Role As a Data Architect, you are a technically strong and curious problem-solver who ... Design, build, and validate statistical, predictive, and machine learning models * Develop and ...

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ... You will also have the opportunity to contribute to and influence ML architecture at Stripe as well ...

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... architecture and state of the art image to image translation models (Flux 2, Z-Image) and the ...

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... architecture and state of the art image to image translation models (Flux 2, Z-Image) and the ...

Showing results 21-40

Machine Learning Architect information

See Ontario salary details

$44

$77

$126

How much do machine learning architect jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning architect in Ontario is $77.67, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $86.54 per hour, depending on experience, location, and employer.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or data engineering may earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What are popular job titles related to Machine Learning Architect jobs in Ontario? For Machine Learning Architect jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Architect jobs in Ontario look for? The top searched job categories for Machine Learning Architect jobs in Ontario are:
Infographic showing various Machine Learning Architect job openings in Ontario as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Temporary. Highlights an 88% In-person, 2% Hybrid, and 10% Remote job distribution, with an average salary of $161,554 per year, or $77.7 per hour.

Senior Staff Machine Learning Platform Engineer

Faire

Kitchener, ON โ€ข On-site

CA$248K - CA$341K/yr

Full-time

Re-posted 7 days ago


Job description

About this role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. ย This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

  • Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance
  • Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
  • Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
  • Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
  • Optimize performance, reliability, and cost of the ML platform
  • Evaluate and integrate emerging Databricks features
  • Stay ahead of the curve by engaging with the latest developments in machine learning and AI
  • Serve as senior ML technical advisor to Faire's data science and production engineering teamsย 
  • Represent Faire at ML conferences and meetups
  • Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What it takes

  • 10-12 years of experience building and improving large-scale ML or data platforms.
  • A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
  • Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
  • Proven ability to design systems that support multiple data science teams and production workloads
  • Strong background in distributed systems, ML infrastructure, and cloud architecture.
  • Demonstrated technical leadership across teams and orgs; ability to influence without authority
  • Experience integrating LLM workflows into enterprise platforms is a plus
  • Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack.ย  For this role, you'll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, MLFlowย 

Big Data & Processing

Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL

Cloud & Infrastructure

AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform

Generative AI

Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $248,000 to $341,000 per year.ย 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.