Software development jobs in Toronto, ON and nearby

Software development jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 2,471
Employers: 717

Advertised starting pay

Average starting payCAD / year: $117,577Across 226 listings
Average starting payCAD / hour: $60.91Across 97 listings
Average starting payUSD / year: $152,130Across 54 listings
Average starting payUSD / hour: $56.31Across 12 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 44%1,078 listings
On-site: 56%1,378 listings

Not specified: 1% (15 listings)

Employers hiring include S M Software Solutions Inc (215), Amazon (59), Virtusa (52).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Toronto, ON and nearby

Within 25 km

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Added 12 days ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
Added 12 days ago
E
Software Engineer
Evidence
Toronto, ON
- $100,000 to $150,000 USD / year
- Full-time
Added 12 days ago
SH
Software Developer
Scarborough Health Network
Toronto, ON
- Full-time
Added 12 days ago
AS
Full Stack Developer
Apex Systems
Toronto, ON
- $55 to $67 USD / hour
- Contract
Added 12 days ago
I
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
Added 12 days ago
SE
Senior AI Software Engineer
Stikeman Elliott LLP
Toronto, ON
- Full-time
…is the senior engineering role responsible for advancing its…
Added 12 days ago
V
Back End Developer
VySystems
Toronto, ON
- Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 12 days ago
O
Sr. IT Software Developer
OpenText
Richmond Hill, ON
- Full-time
Added 12 days ago
O
Sr. IT Software Developer
OpenText
Mississauga, ON
- Full-time
Added 12 days ago
C
Senior Java Full Stack Developer
CGI
Toronto, ON
- Full-time
Added 12 days ago
Y
Azure Cloud Engineer ( Azure infrastructure )
Yochana
Toronto, ON
- Full-time
Added 12 days ago
AC
RQ11723-Salesforce Cloud Developer / Vlocity (OmniStudio) Developer
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
Added 12 days ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Added 12 days ago
AC
RQ11755-AI Application Development-Software Developer
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
RQ11755 - Software Developer - Full Stack - Senior
Added 12 days ago
LI
Embedded Software Engineer – Display & Graphics
LanceSoft, Inc.
Markham, ON
- $45.43 to $56.78 CAD / hour
- Contract
Join our team to develop efficient display drivers and embedded software for next-gen consumer devices (phones, laptops, wearables, automotive).
Added 12 days ago
ES
Software Development, Team Lead
Exchange Solutions
Toronto, ON
- Full-time
Added 12 days ago
H
Senior Software Engineer
HONK
Toronto, ON
- $140,000 to $160,000 CAD / year
- Full-time
Added 12 days ago
M(
[C] Software Engineer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
- Full-time
Added 12 days ago
M(
[C] Senior Software Engineer - Developer Platform
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
- Full-time
Added 12 days ago
PM
Software Development Co-op Student
Profound Medical
Mississauga, ON
- $22 to $28 CAD / hour
- Internship
Added 12 days ago
G
Senior Software Engineer
GreatPeople.Tech
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Added 12 days ago
B
Software Developer - Senior (.Net experience)
Bevertec
Toronto, ON
- Contract
Job Role: Software Developer - Senior (.Net experience)
Added 12 days ago
T
Full Stack Developer
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Software Engineer for AI Engineering team developing and delivering AI solutions for Broker Submissions parsing and automation. This is an integration-focused initiative supporting Intact's…
Added 12 days ago
RC
test automation engineer - software
Raenan Consultancy
Toronto, ON
- Full-time
Added 12 days ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time

Vector Institute

Senior Software Developer - Machine Learning

Toronto, ON, Canada

$125,800 to $157,300 CAD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $125,800 to $157,300 CAD / year
Job type: Full-time
Experience: 5-7 years of relevant industry experience in machine learning, software development, or a related field;
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Software Developer, Machine Learning

POSITION SUMMARY

As a Senior Software Developer, Machine Learning, your primary focus will be on packaging machine learning research into reusable software artifacts. You will collaborate with cross-functional teams, including researchers, software developers, and product managers, to design, develop, and deploy machine learning solutions that can be integrated into Vector’s software applications.

KEY RESPONSIBILITIES

Collaborate with Applied ML Scientists, ML researchers, and other Applied ML Specialists to understand and package machine learning research into reusable software components;
Design and develop software libraries, modules, and APIs that encapsulate machine learning models, algorithms, and data preprocessing techniques;
Develop software frameworks and tools to streamline the integration and deployment of machine learning solutions in Vector’s software applications;
Collaborate with product managers and stakeholders to identify ML opportunities and prioritize research areas for software integration;
Ensure the scalability, performance, and reliability of machine learning software artifacts through efficient code design, optimization, and testing;
Stay up-to-date with the latest advancements in machine learning research and methodologies, and identify opportunities for leveraging new techniques;
Conduct code reviews and provide constructive feedback to ensure high code quality and adherence to best practices;
Collaborate with software engineering teams to integrate machine learning software components into existing and new software applications;
Develop and maintain documentation and examples to support the adoption and usage of machine learning software artifacts by other developers;
Stay informed about data privacy and security regulations to ensure compliance in the development and deployment of machine learning solutions; and,
Other related duties as assigned from time to time.

KEY SUCCESS MEASURES

The code quality and extensibility of existing libraries as well as new libraries implemented by AI Engineering is high. Systems design approach applied to development of new software;
The software and APIs developed by AI Engineering are well-documented and there is strong user engagement, measured in terms of forks, PRs, issues, and stars;
The number of successful products/models delivered by AI Engineering increases, as measured by where code is reused and duplicate effort is reduced. The number of APIs scaled to multiple users increases;
Software development and system design best practices are more widely adopted across the AI engineering team, showcased by successful implementations, reliability, observability and operability;
A high degree of automation of code review and software continuous integration process is achieved. Automation of running of data pipelines, model training, and evaluation using workflow orchestration tools is achieved; and,
Knowledge on software and systems design is shared across teams, and institutional knowledge on building responsible ML systems developed.

PROFILE OF THE IDEAL CANDIDATE

Master's degree in computer science, data science, or a related field; a PhD is considered an asset;
5-7 years of relevant industry experience in machine learning, software development, or a related field;
Proven experience in packaging machine learning research into reusable software artifacts, with a focus on software development;
Strong programming skills in languages such as Python, Java, or C++, and experience with software development frameworks and tools;
Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques;
Familiarity with popular machine learning libraries and frameworks, such as TensorFlow, PyTorch, or JAX;
Experience in designing and developing software libraries, APIs, and frameworks for machine learning solutions;
Proficiency in software engineering best practices, including version control, testing, and code documentation;
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes);
Excellent problem-solving skills and the ability to translate research ideas into practical and reusable software components; and,
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

TOTAL REWARDS: The expected salary for this position will be $125,800 - $157,300 per year, plus benefits if applicable. The final salary offer will reflect the successful candidate's experience, skills, and qualifications, in alignment with the Vector Institute's Compensation Policy and may differ from above.

The Vector Institute’s Total Rewards approach extends beyond traditional compensation and benefits. Full-time employees are eligible for a comprehensive suite of supports that recognize and value employees, including vacation time, floater days, GRRSP, a Health Spending Account, a Summer Hours program, and flexible work arrangements.

POSITION STATUS: This posting is for an existing vacancy.

USE OF ARTIFICIAL INTELLIGENCE: Vector may use both internal and external third party AI-based tools to assist in the screening of applications for this posting. Any data collected will be used solely for recruitment purposes and handled in accordance with Vector’s External Privacy Policy and Use of AI-Based Tools in Recruitment and Selection Policy.

INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT: Vector believes AI powers possibility by advancing cutting-edge research and translating it into real-world impact through collaboration with research, industry, and government. Vector is committed to fostering a diverse and inclusive culture that reflects its values.

The Vector Institute welcomes applications from all qualified candidates, including those who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

If you require an accommodation at any stage of the recruitment or selection process, please contact hr@vectorinstitute.ai. The Vector Institute team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.

JOIN OUR COMMUNITY: Check out the Vector Institute’s Careers Page to explore open opportunities at Vector and Follow Vector on X, LinkedIn, and Bluesky to stay connected with the latest developments in Ontario's AI ecosystem and the Vector Institute.

Apply About employer

More about this job

Responsibilities

The role focuses on packaging machine learning research into reusable software artifacts and frameworks. You will collaborate with cross-functional teams to design, develop, and deploy scalable machine learning solutions.

Requirements

Candidates must have a Master's degree in computer science or a related field and 5-7 years of industry experience. Proficiency in Python, Java, or C++ and experience with machine learning frameworks like PyTorch or TensorFlow are required.

Skills

Machine learning
Software development
Python
Java
C++
TensorFlow
PyTorch
JAX
API design
System design
Cloud platforms
Docker
Kubernetes
Data preprocessing
Statistical modeling
Version control

Benefits

Vacation time
Floater days
GRRSP
Health spending account
Summer hours program
Flexible work arrangements

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Python
Java
C++
TensorFlow
PyTorch
JAX
API
System Design
AWS
Azure
Google Cloud
Docker
Kubernetes
Data Pipelines
Model Training
Workflow Orchestration
Version Control
Code Review
Statistical Modeling
Data Preprocessing
Scalability
Reliability
Observability
Operability
Automation
Continuous Integration
Artificial Intelligence
Software Artifacts

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