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Aws Machine Learning Jobs in Ontario (NOW HIRING)

... and AWS. Preferred Qualifications: - Ph.D. in Computer Science, Electrical Engineering, or a related field. - 5+ years of experience in software engineering or machine learning engineering ...

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and ... Strong understanding of machine learning algorithms, including supervised and unsupervised learning ...

Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure * Database Knowledge: Familiarity with databases and data storage solutions ...

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or ...

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful ... Hands-on experience with AWS, Azure or GCP. * Expertise in Kubernetes, Docker, and workflow ...

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Showing results 1-20

Aws Machine Learning information

See Ontario salary details

$24K

$127.8K

$211K

How much do aws machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for aws machine learning in Ontario is $127,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $162,000.00 per year, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

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

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are popular job titles related to Aws Machine Learning jobs in Ontario? For Aws Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Ontario look for? The top searched job categories for Aws Machine Learning jobs in Ontario are:
Infographic showing various Aws Machine Learning job openings in Ontario as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,790 per year, or $61.4 per hour.
Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs

Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs

Amazon

Toronto, ON • On-site

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,012 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud.

This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers

We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time.

We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing.

We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture.
Learn more about Our History:
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
You: As a Manager III on the AWS Neuron team, you'll be leading a team of compiler engineers through developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium. You'll need to be technically capable, credible and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers

You'll leverage your vision and technical communication skills as a hands-on partner to AWS ML services teams, to be involved in pre-silicon design, bring new products/optimizations/features to market, and many other exciting projects to ensure the Neuron SDK exceeds our customers' needs of high performance, low cost, and ease of use.
You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute.
AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation

Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
Explore the Product:
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html
https://github.com/aws/aws-neuron-sdk
https://aws.amazon.com/machine-learning/neuron/
https://aws.amazon.com/machine-learning/neuron/
In order to be considered for this role, candidates must be currently located or willing to relocate to Toronto.
Key job responsibilities
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud

Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium.

AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations

With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint.

We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture.
Learn more about Our History:
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
You: As a Manager III on the AWS Neuron team, you'll be leading a team of compiler engineers through developing, deploying, and scaling a compiler targeting AWS Inferentia and Trainium

You'll need to be technically capable, credible and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You'll leverage your vision and technical communication skills as a hands-on partner to AWS ML services teams, to be involved in pre-silicon design, bring new products/optimizations/features to market, and many other exciting projects to ensure the Neuron SDK exceeds our customers' needs of high performance, low cost, and ease of use.
You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute.
Explore the Product:
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html
https://github.com/aws/aws-neuron-sdk
https://aws.amazon.com/machine-learning/neuron/
https://aws.amazon.com/machine-learning/neuron/
In order to be considered for this role, candidates must be currently located or willing to relocate to Toronto.
About the team
About the Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud


Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US