Data scientist jobs in Vaughan, ON and nearby

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

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 480
Employers: 223

Advertised starting pay

Average starting payCAD / year: $134,360Across 34 listings
Average starting payCAD / hour: $71.48Across 21 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 54%260 listings
On-site: 46%219 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 Vaughan, ON and nearby

Within 25 km

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Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Added 2 months ago
JG
Data Scientist
J&M Group
Toronto, ON
- Full-time
Experience with Azure data tools - azure, databricks, MLflow, python
Added 2 months ago
C
Data Architect
Capco
Toronto, ON
- Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
BS
Sr. Data Scientist
B3 Systems
Toronto, ON
- Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Added 2 months ago
HN
Senior Data Scientist
Harvey Nash
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to…
Added 2 months ago
AI and Data - Data Architect (Databricks)
EY
Toronto, ON
We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical
Added 2 months ago
L
Sr Data Scientist II
LexisNexis
Toronto, ON
- Full-time
Added 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Added 2 months ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
SG
Senior Data Scientist
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
D
Manager, Data Architect
dentsu
Toronto, ON
- Full-time
Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients…
Added 2 months ago
Data Scientist, Optimization - Real-Time Supply Management
Lyft
Toronto, ON
Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation…
Added 1 month ago
Data Architect
Capco
Toronto, ON
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
E
Machine Learning Engineer
eBay
Toronto, ON
- Full-time
Added 2 months ago
G
Machine Learning Engineer
GPTZero
Toronto, ON
- $120,000 to $160,000 CAD / year
- Full-time
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Added 2 months ago
I
Data Architect
ICES
Toronto, ON
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Toronto, ON
- Full-time
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
SG
Senior Data Scientist
Scientific Games
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON

Okta

Staff Machine Learning Engineer, Generative AI (Auth0)

Toronto, ON, Canada

$168,000 - $231,000 CAD

Apply About employer

Applications open in a new tab.

Job details

Pay: $168,000 - $231,000 CAD
Experience: 7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Posting language: English
Posted: Sep 8, 2026

Original job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Team:

Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users.

The Opportunity:

As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on.

You will have the opportunity to:

Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security.
Partner with Product, Security, and Platform Engineering teams to design AI-powered experiences that are both innovative and trustworthy.
Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.

What you will do:

Spearhead the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines.
Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
Mentor and coach engineers, contributing to the growth of the team and the larger engineering community.

What you bring:

7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows.
Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems.
Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently.
Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI-native world.

Nice to haves:

Experience integrating AI-driven systems with identity, authentication, or security products.
Exposure to ethical AI, model risk, or compliance frameworks.
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.

Please note that we encourage candidates to apply even if you do not have experience with all of the criteria or technologies listed above; these are provided to give insight into the tech stack and general responsibilities for the role.

P-2652_3522731

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:

$168,000 - $231,000 CAD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Apply About employer

More about this job

Responsibilities

You will architect, design, and deploy scalable Generative AI and machine learning systems while driving technical decision-making across the stack. You will also collaborate with cross-functional teams to build production-ready AI features, evaluation pipelines, and agentic applications.

Requirements

Candidates must have 7+ years of software development experience with strong expertise in Python and applied machine learning. Proficiency in modern GenAI platforms, RAG workflows, and AI agent frameworks is essential for this role.

Skills

Python
Machine learning
Generative AI
LLMOps
RAG
AWS Bedrock
OpenAI
Anthropic
LangChain
LlamaIndex
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
System architecture

Benefits

Health insurance
Dental insurance
Vision insurance
RRSP with match
Healthcare spending account
Telemedicine
Paid leave
PTO
Parental leave
Equity
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Staff Machine Learning Engineer
Generative AI
LLM
Python
Go
Typescript
AWS Bedrock
OpenAI
Anthropic
RAG
Embeddings
LiteLLM
LangGraph
LangChain
LlamaIndex
MCP
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
LLMOps
Identity Security
Authentication
Agentic Applications
Model Fine-tuning
Feature Engineering
Evaluation Pipelines
Infrastructure
Platform Engineering

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