Toronto On Machine learning software engineer Jobs – 367 Openings This Week

Machine Learning Engineer
Equinix —Toronto, ON
- $99,000–$149,000 a year
- Full-time
- Computer Science
- Bachelor's
- Continuous improvement
- Designated paid holidays
- Employee assistance program
Machine Learning Engineer
TD Bank —Toronto, ON
- $120,000–$250,000 a year
- Full-time
- Computer Science
- Engineering
- Research
- Paid time off
Staff Software Engineer, AI Agentic Experience
Okta —Toronto, ON
- $160,000–$220,000 a year
- Hybrid work
- Mentoring
- Software development
- APIs
- Dental care
- Paid time off
11h
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Lead AI Engineer
Altus Group —Toronto, ON
- $200,000–$230,000 a year
- Full-time
- System design
- Machine learning
- Mentoring
18h
Python Data & Machine Learning Engineer
Rose International —Mississauga, ON
- $60–$66 an hour
- Full-time
- Hybrid work
- Engineering
- Master's degree
- SQL
Quick apply
Senior AI Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
10d
Data Scientist - TD Asset Management
TD Bank —Toronto, ON
- $105,000–$145,000 a year
- Full-time
- Computer Science
- Engineering
- Bachelor's
- Paid time off
10d
Software Engineer
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Director, Software Engineering
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- Computer Science
Engineering Lead - AI Workflows
Sanofi EU —Toronto, ON
- $144,100–$240,200 a year
- Azure
- Computer Science
- DevOps
Distinguished Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Software Engineer
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Applied AI Platform Engineer, Application Development
First National Financial —Toronto, ON
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
12d
Distinguished Engineer
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Product Owner – LMP AI Workflows
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Computer Science
- AWS
- Bachelor's
12d
AI Engineer Lead, Application Development
First National Financial —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Software Engineer
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Data Platform Engineering Manager
TD Bank —Toronto, ON
- $115,600–$163,200 a year
- Full-time
- Azure
- Computer Science
- Engineering
- Paid time off
5d
Systems Engineer
Moneris Solutions —Toronto, ON
- $100,000–$142,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Windows
- Tuition reimbursement
- Employee assistance program
13d

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Machine Learning Engineer

Equinix -
Toronto, ON

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Job details

Full-time
$99,000–$149,000 a year

Qualifications

Computer Science
Bachelor's
Continuous improvement
APIs
Business requirements
AI

Full job description

Machine Learning Engineer

JR-161612

Hybrid

Toronto

Technology

Full time

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.

Responsibilities

Engineering Expectations (Core Capabilities)

Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
Translate business requirements into scalable system architectures and solution designs
Develop backend services and API-driven architectures to operationalize intelligent systems
Implement data and model pipelines integrating structured and unstructured data sources
Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
Apply agent-based workflows and multi-step orchestration to enable complex system behavior
Ensure systems are production-ready—scalable, reliable, secure, and performant
Continuously improve system performance through testing, monitoring, and iterative refinement

Operating Model & Ways of Working

Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
Translate ambiguous problems into structured requirements and actionable system designs
Engage stakeholders regularly to refine solutions and drive adoption
Collaborate across teams to ensure integration with existing systems and enterprise standards
Maintain high-quality documentation and enable knowledge transfer and continuity
Take ownership of delivery by managing enhancements, releases, and system evolution
Stay current with industry trends and contribute to continuous improvement of team capabilities

Qualifications

5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.

Apply Now

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machine learning software engineer jobs in toronto on

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