1

Aws Machine Learning Jobs in Ontario (NOW HIRING)

Tech Lead, AI Engineering

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

AWS Machine Learning / Solutions Architect Salary : $75,900.00 - $141,900.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such ...

Evaluate machine learning models for understanding user intent, predicting workflow needs, and ... Experience with cloud computing platforms (AWS, Azure, GCP) Why Join Us? * A high-performance ...

Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools. * Core Machine Learning and AI Skills with 2 + years of hands-on experience in model development and optimization, with ...

Ideally, holding certification as an AWS Cloud Practitioner, AWS Certified Developer or AWS Certified Machine Learning Specialist or be willing to earn certification within the first year (supported ...

PostgreSQL, Redshift, MongoDB (for unstructured data) - Machine learning and experimentation: AWS SageMaker - Visualization and reporting: Looker - Infrastructure: AWS ecosystem (S3, Lambda, Glue ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift. * AI/ML Tools:

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 ...

... Machine Learning, Artificial intelligence, Engineering) • A Master's degree is considered ... AWS, and GCP. • Strong understanding of scalable data engineering, governance, multi-tenant ...

CA$140K - CA$225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing ... Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)

CA$160K - CA$190K/yr

... AWS, GCP, Azure) and big data technologies Statistical modeling and machine learning Data management & engineering awareness Programming and MLOps practices Direct Manager: Reports to Director ...

Showing results 41-60

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 16, 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.

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 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,790 per year, or $61.4 per hour.

Data Architect (AWS, Data & AI)

BMO Capital Markets

Toronto, ON • On-site

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Re-posted 3 days ago


Job description

Application Deadline:

08/30/2026

Address:

100 King Street West

Job Family Group:

Technology

Please note this is a Senior Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, Artificial Intelligence Hands-on experience (coding), Data Architecture.

Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.

  • Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
  • Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
  • Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization's AI and data vision.
  • Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
  • Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
  • Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
  • Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
  • Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
  • Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
  • Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
  • Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
  • Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
  • Perform additional responsibilities as required to support enterprise goals.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering.
  • 15+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
  • 5 years experience as a Data Architect
  • 2+ years experience delivering AI Architectures
  • 3 years experience specific to AWS Cloud
  • Hands on current capability to code (at least with Python)
  • Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
  • Proven experience architecting and deploying AI/ML solutions
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
  • Proficiency in Python, SQL, and other relevant programming languages.
  • Familiarity with data architecture, APIs, and microservices.
  • Experience with implementing disruptive technologies in an organization;
  • Experience with Complex & high volume cloud implementations;
  • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
  • Exhibits knowledge of data architecture concepts and practices.
  • Demonstrates knowledge of architecture frameworks, methodologies, and tools.

Salary:

$94,600.00 - $176,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.