Toronto, On Algorithm developer Jobs – 126 Openings This Week

Machine Learning Software Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Research
- Machine learning
1d
Software Engineer
Bay Street HR —Toronto, ON
- Full-time
- Azure
- Java
- AWS
- Disability insurance
- Dental care
Quick apply
8h
Senior Staff Embedded Software Developer - DSP
GE Vernova —Markham, ON
- Full-time
- Computer Science
- Engineering
- C++
Senior Product Manager, Auth0 Platform Infrastructure
Okta —Toronto, ON
- $146,000–$200,200 a year
- Hybrid work
- Azure
- AWS
- Driving
- Dental care
- Paid time off
Senior Actuarial Manager
Aviva —Toronto, ON
- $150,000–$170,000 a year
- Hybrid work
- Leadership
- Communication skills
Senior Machine Learning Research Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
18h
Sales Manager
Build It —Mississauga, ON
- $70,000–$100,000 a year
- Full-time
- Sales
- Business development
Quick apply
Staff Embedded Engineer
ecobee Ltd —Toronto, ON
- $147,700–$180,000 a year
- Full-time
- C++
- Travel
- HVAC
- Disability insurance
- Dental care
Quick apply
Scientific Software Engineer
QuEra Computing, Inc. —Toronto, ON
- Doctoral degree
- Computer Science
- No university degree
- Paid time off
Senior Software Engineer, Server Security
MongoDB —Toronto, ON
- $137,000–$189,000 a year
- Hybrid work
- Azure
- Computer Science
- System design
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply
AI/ML Architect, Public Sector Professional Services
Amazon Web Services Canada, Inc. —Toronto, ON
- $99,900–$166,900 a year
- Full-time
- Computer Science
- Engineering
- AWS
- Profit sharing
- Dental care
5h
Software Developer – Cloud Solutions
PulseLearning —Toronto, ON
- Contract
- Remote
- Computer science
- Computer Science
- DevOps
Quick apply
5h
Project Manager
VitalHub —Toronto, ON
- $80,000–$100,000 a year
- Full-time
- PMP
- Microsoft Office
- Project management
2h

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Senior Staff Embedded Software Developer - DSP
GE Vernova —Markham, ON
You will be responsible for executing a robust process of design, creation, and optimization of embedded systems, consisting of identification and…

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Machine Learning Software Engineer

Royal Bank of Canada -
Toronto, ON

Apply Now

Job details

Full-time
1 day ago

Qualifications

CI/CD
Relational databases
Big data
DevOps
Research
Microservices
Machine learning
AI
Python

Full job description

Job Description

What's the opportunity?

RBC Borealis is looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

To build cutting edge ML solutions throughout the research and product development lifecycle;
To play a key role in the design and development of Borealis’ machine learning products;
To partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products;
To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;
To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

Experience building modular and robust software systems in Python or similar language;
Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;
Experience building microservices, data pipelines and using relational and non-relational databases is a plus;
Experience working with data science tooling and deep learning frameworks is a plus;
Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

What's in it for you?

Be part of a dynamic & flexible working environment;
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

#Ll-POST

#TechPJ

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-27

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Apply Now

Refine Your Search

algorithm developer jobs in toronto, on

Machine Learning Software Engineer

Software Engineer

Senior Staff Embedded Software Developer - DSP

Senior Product Manager, Auth0 Platform Infrastructure

Senior Actuarial Manager

Senior Machine Learning Research Engineer

Sales Manager

Staff Embedded Engineer

Scientific Software Engineer

Senior Software Engineer, Server Security

Senior Director Engineering, Home Software Applications

AI/ML Architect, Public Sector Professional Services

Software Developer – Cloud Solutions

Project Manager

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