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Aws Machine Learning Jobs in Ontario (NOW HIRING)

CA$153K - CA$244K/yr

We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist ...

CA$153K - CA$244K/yr

We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist ...

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 ...

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 develop and deploy industry-leading machine learning systems that impact the lives of over 27 ... Familiarity with cloud computing systems like Azure or AWS * Experience in LLM post-training and ...

... Azure and AWS * Strong experience with Scala and Java 8 Nice to have Skills * C++, Python ... Catered lunches twice a week over machine learning talks #J-18808-Ljbffr

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Aws Machine Learning information

See Ontario salary details

$24K

$127.8K

$211K

How much do aws machine learning jobs pay per year?

As of Aug 31, 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?

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 does an AWS Machine Learning do?

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 the key skills and qualifications needed for an AWS Machine Learning?

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.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

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 August 2026, with employment types broken down into 62% Full Time, 15% Part Time, and 23% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $127,790 per year, or $61.4 per hour.

Machine Learning Architect (AWS) - Canada

Rackspace Technology

Remote

CA$153K - CA$244K/yr

Full-time

Re-posted 4 days ago


Job description

4 days ago Be among the first 25 applicants

This range is provided by Rackspace Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$153,000.00/yr - $244,700.00/yr

We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating state of the art Machine Learning solutions that align to business goals.
This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements.
The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer's business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you.
Work Location: Remote
Key Responsibilities:

  • Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.
  • Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed.
  • Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training.
  • Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs.
  • Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.
  • Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers.
Qualifications:
  • Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.
  • Minimum 5+ years of experience architecting and building Machine Learning solutions.
  • Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
  • Experience building ML models and strong knowledge of ML techniques is required.
  • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs.
  • Strong coding experience in Python and architectural patterns like microservices.
  • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.
  • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Travel:
  • As per business requirements
Sponsorship
  • This role is not sponsorship eligible
  • Candidates need to be legally allowed to work in Canada for any employer
#Rackspace
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries IT Services and IT Consulting

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