Data scientist jobs in Toronto, ON and nearby

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

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 497
Employers: 233

Advertised starting pay

Average starting payCAD / year: $131,478Across 36 listings
Average starting payCAD / hour: $71.78Across 23 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 55%271 listings
On-site: 45%225 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

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

Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 2 hours ago
Data Scientist, FX Quantitative Research
Stripe
Toronto, ON
Added 5 hours ago
AI Engineer (Data Scientist)
Hydro One Networks Inc
Toronto, ON
Added 6 hours ago
MB
Data Scientist
Martyn Bassett Associates
Mississauga, ON
- Full-time
Our client is a Data Security Platform startup that protects sensitive data before it ever reaches an app, a pipeline, or an AI model.
Added 6 hours ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 6 hours ago
Machine Learning Engineer
Scotiabank
Toronto, ON
Scotiabank is seeking a highly motivated and experienced Senior Manager, Software & Data Engineering to lead the design, development, modernization, and support of critical data and…
Added 6 hours ago
CS
Azure data architect
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 7 hours ago
SS
Machine Learning Engineer
Sapphire Stream Technology
Toronto, ON
- Full-time
Added 7 hours ago
CS
Data Modeler
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and KYC domain knowledge. The ideal candidate will support data mapping, sanction screening,…
Added 20 hours ago
S
Machine Learning Engineer
Syntrace
Toronto, ON
- Full-time
Added 1 day ago
CC
Senior Data Scientist
Computer Consultants International, Inc.
Toronto, ON
- Contract
Data Analytics Specialist/Scientist- RQ11753 (CANADA) - Onsite
Added 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 3 days ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 3 days ago
T
Machine Learning Engineer II
TD
Toronto, ON
- Full-time
Added 3 days ago
PhD Machine Learning Engineer, Intern
Stripe
Toronto, ON
Added 3 days ago
Master's Machine Learning Engineer, Intern
Stripe
Toronto, ON
Added 3 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 3 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 3 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 3 days ago
A
Data Architect
Altis
Mississauga, ON
- $70 to $100 CAD / hour
- Full-time
Are you a strategic thinker who loves connecting business needs with innovative technology? We're looking for a Data & Analytics Solutions Architect to shape enterprise-wide data,…
Added 3 days ago
CT
Senior Data Scientist, Predictive Modelling
Canadian Tire Corporation
Toronto, ON
- Full-time
The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment,…
Added 3 days ago
B
Staff Data Scientist
BMO
Toronto, ON
- Full-time
We are seeking a Staff Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML…
Added 3 days ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Added 3 days ago
M
Senior Quantitative Analyst
Manulife
Toronto, ON
- Full-time
Added 3 days ago
JR
Applied Machine Learning Scientist
Jump! Recruiters
Toronto, ON
- Full-time
They are currently looking at adding an Applied Machine Learning Scientist, who will develop, deploy, and continuously improve scalable AI/ML solutions that solve meaningful business…
Added 3 days ago
TC
Big Data Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time

Sapphire Stream Technology

Machine Learning Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

About Sapphire Stream Technology

Sapphire Stream Technology (SST) is a technology and engineering solutions company specializing in software development, AI and machine learning, semiconductor technologies, automotive solutions, and advanced engineering services.

We collaborate with leading global technology companies to deliver innovative engineering solutions and support the development of next-generation products.

As we continue to expand our presence in North America, we are looking for talented engineers who are passionate about emerging technologies, solving complex technical challenges, and contributing to advanced AI and computing solutions.

Position Overview

SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.

The successful candidate will work on advanced machine learning software development, GPU computing, and performance optimization for next-generation computing platforms.

This role involves developing and optimizing machine learning kernels, leveraging agentic AI workflows to improve engineering productivity, and collaborating with cross-functional engineering teams to enhance software performance, computational efficiency, and power optimization.

We are looking for an enthusiastic, technically strong individual who enjoys working on complex engineering challenges and exploring innovative approaches to AI and GPU software development.

Key Responsibilities

Develop, implement, and optimize machine learning software, GPU kernels, and computational workloads for advanced computing platforms.
Leverage agentic AI tools and workflows to accelerate software development, testing, debugging, and optimization.
Support software and workload development across pre-silicon and post-silicon development environments.
Design and maintain efficient machine learning kernels, kernel fusion techniques, and performance optimization solutions.
Develop clean, maintainable, and testable C++ and Python code, including microbenchmarks and automated regression tests.
Optimize GPU execution parameters, including tile sizes, block configurations, and memory layouts, to improve latency, throughput, and power efficiency.
Support runtime integration, deployment, and performance tuning across machine learning inference frameworks and computing platforms.
Analyze GPU performance using profiling tools and performance metrics to identify bottlenecks and optimization opportunities.
Collaborate with software, hardware, runtime, and machine learning engineering teams to improve system-level efficiency.
Participate in technical design discussions, code reviews, debugging, and continuous improvement initiatives.
Contribute to the development of innovative engineering solutions for emerging AI and high-performance computing applications.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Computer Systems, or a related technical discipline.
Strong programming proficiency in C++ and Python.
Solid understanding of software engineering principles, algorithms, data structures, and performance optimization.
Knowledge of machine learning concepts, numerical computing, and linear algebra.
Experience developing, debugging, and testing complex software applications.
Strong analytical and problem-solving abilities.
Excellent communication, collaboration, and teamwork skills.
Ability to work effectively in a fast-paced, collaborative engineering environment.

Preferred Qualifications

Practical experience using agentic AI workflows, AI coding assistants, or AI-driven development tools to improve engineering efficiency.
Experience with GPU computing or parallel programming technologies such as CUDA, HIP, or OpenCL.
Familiarity with GPU graphics programming technologies such as DirectX or Vulkan.
Experience developing and optimizing machine learning kernels and GPU-accelerated workloads.
Understanding of machine learning architectures, including Transformers, U-Nets, and Convolutional Neural Networks (CNNs).
Familiarity with pre-silicon software development or hardware emulation platforms such as FPGA, ZeBu, or Veloce.
Experience with performance profiling tools and GPU performance metrics, including occupancy, memory bandwidth, FLOPs, and roofline analysis.
Knowledge of kernel fusion, memory optimization, parallel execution, and high-performance computing.
Experience with machine learning inference frameworks, runtime integration, or production software deployment.
Exposure to hardware-software co-optimization and power-efficient computing.

Why Join SST?

Work on advanced AI, machine learning, and GPU computing technologies.
Contribute to challenging engineering projects involving next-generation computing platforms.
Collaborate with experienced engineering professionals and global technology teams.
Gain exposure to emerging technologies in semiconductor engineering and high-performance computing.
Be part of SST's growing North American engineering organization.

Work Location

Markham, Ontario, Canada – Onsite

This position requires working onsite and collaborating closely with engineering teams.

Equal Opportunity Employer

Sapphire Stream Technology is committed to providing an inclusive and respectful workplace. Employment decisions are based on qualifications, experience, and business requirements, in accordance with applicable employment and human rights legislation.

Apply About employer

More about this job

Responsibilities

Develop and optimize machine learning software, GPU kernels, and computational workloads, including kernel fusion, execution tuning, and performance analysis. Use agentic AI workflows and collaborate with software, hardware, runtime, and machine learning teams to improve performance, efficiency, and power optimization across pre-silicon and post-silicon environments.

Requirements

A bachelor's or master's degree in computer science, computer engineering, software engineering, computer systems, or a related discipline is required, along with strong C++ and Python skills. Candidates should understand software engineering, algorithms, data structures, machine learning, numerical computing, and linear algebra, and bring strong analytical, problem-solving, communication, and teamwork abilities.

Skills

C++
Python
Machine Learning
GPU Computing
GPU Kernel Optimization
CUDA
HIP
OpenCL
Parallel Programming
Performance Profiling
Kernel Fusion
Linear Algebra
Machine Learning Inference
AI Coding Assistants
DirectX
Vulkan

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
GPU Computing
C++
Python
CUDA
HIP
OpenCL
DirectX
Vulkan
Agentic AI Workflows
AI Coding Assistants
GPU Kernels
Kernel Fusion
Performance Optimization
Performance Profiling
Pre-Silicon Development
Post-Silicon Development
FPGA
ZeBu
Veloce
Transformers
U-Nets
Convolutional Neural Networks
Machine Learning Inference
Runtime Integration
Memory Bandwidth
Occupancy
Roofline Analysis
High-Performance Computing
Hardware-Software Co-Optimization

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