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 4, 2026

Hiring at a glance

View jobs

Open jobs: 521
Employers: 243

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $72.44Across 25 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 55%285 listings
On-site: 45%235 listings

Not specified: <1% (1 listing)

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

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 1 month ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on…
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Added 1 month ago
TC
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 1 month ago
JG
DATA ARCHITECT
J&M Group
Toronto, ON
- Contract
We are looking for a Data Architect with 8 10 years of Dynamics 365 CE/CRM experience, strong Azure integration, MuleSoft, APIs, SQL, Power Platform, and CRM architecture skills, plus…
Added 1 month ago
M
Lead Data Scientist (FBL/RCA)
McKesson
Mississauga, ON
- Full-time
Added 1 month ago
FB
Senior Data Architect
fgf brands
Toronto, ON
- Other
As Senior Data Architect, you will own and evolve the entire Data Analytics platform - the core engine that turns c
Added 1 month ago
OS
Sr. Data Scientist
Ontario Securities Commission
Toronto, ON
- Full-time
…and hands-on technical expertise in advanced analytics and data science. You will develop cloud-based analytics products, help shape the OSC’s analytics roadmap, and guide technical staff…
Added 1 month ago
TM
Principal Data Modeler/Analyst - Capital Markets
The Mirillion Group
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Principal Data Modeler - Capital Markets Technology
Added 1 month ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
Vice President, Data Scientist
BMO
Toronto, ON
Added 1 month ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Added 1 month ago
B
Data Scientist
BMO
Toronto, ON
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 1 month ago
B
Machine Learning Engineer
BMO
Toronto, ON
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 1 month ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
…lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS,…
Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 1 month ago
U
Data Architect
Univeris
Toronto, ON
- Full-time
Added 1 month ago
U
Data Architect
Univeris
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
Added 1 month ago
M
Senior Data Scientist
Moneris
Toronto, ON
- Full-time
As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying…
Added 1 month ago
Data Architect
Lantern
Toronto, ON
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
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 1 month ago
MS
Data Modeler
Millennium Software and Staffing Inc
Toronto, ON
- Contract
We are looking for a Data Engineer with strong hands-on experience in Snowflake and dbt (Must Have).
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
Added 1 month ago
BC
Analyst, Data Scientist
BMO Capital Markets
Toronto, ON
- Contract
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing…

Project X

Senior Machine Learning Engineer –AI & Agentic Systems

Toronto, ON, Canada

Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$150,000K CAD · Full-time

Apply About employer

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Job details

Pay: Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$150,000K CAD
Job type: Full-time
Apply by: Dec 13, 2026
Experience: 8+ years of professional software, ML or AI engineering experience
Posting language: English
Posted: Sep 14, 2026

Original job description

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Salary Range: $120,000-$150,000K CAD

About Project X Ltd.

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 Innovation, we value people who take ownership of their work, step up when needed, and get things done.

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates - because at Project X, our people are what make us great.

Role Summary

Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and workflows. The successful candidate will design and build production integrations between AI agents, enterprise APIs, agent orchestration frameworks and managed AI services, enabling agent-driven workflows to safely create, launch, measure and manage business activity. This role requires deep, current fluency in LLMs, agent orchestration and the Model Context Protocol (MCP), and sits between Senior and Principal level. There are no direct reports for this position.

Key Responsibilities

Design and implement production integrations between AI agents, enterprise APIs and operational systems
Build production-grade services that let agents invoke tools and execute business actions reliably
Connect client owned automation APIs to an agent orchestration layer and third-party managed agents
Integrate LLM-based agents with internal and external services using APIs, MCP and related agent-tool patterns
Contribute to agent-to-agent and agent-to-tool communication patterns
Build for reliability: validation, error handling, retries, fallbacks, logging, observability and secure access
Participate in architecture and system-design decisions while remaining directly responsible for implementation

What We’re Looking For – Required Qualifications

8+ years of professional software, ML or AI engineering experience
Production experience building LLM-based applications and agentic systems, including agent orchestration and tool/function calling
Practical experience with the Model Context Protocol (MCP), including exposing or consuming tools/resources
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
API development and integration (REST, service-oriented architectures), plus distributed systems and event-driven patterns
Experience deploying and operationalizing machine learning models in production
Ability to design guardrails, validation and failure-handling patterns for non-deterministic AI workflows
Strong communication skills for an embedded, client-facing engineering environment

Nice to Have

Experience with LangChain, LangGraph or comparable agent frameworks (e.g., LangChain Deep Agents)
Experience with multi-agent or agent-to-agent architectures and awareness of their common failure modes
FastAPI, Docker, Kubernetes and a major cloud platform (AWS, GCP or Azure)
Vector databases/retrieval systems and ML lifecycle tooling (MLflow, Weights & Biases or comparable)
Slack APIs or other enterprise messaging integrations

Use of Artificial Intelligence in Recruitment:

Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.

Employment Equity, Accessibility & Accommodations:

Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Privacy Notice:

Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.

How to Apply:

Please apply with your resume and cover letter.

Apply About employer

More about this job

Responsibilities

The successful candidate will design and build production integrations between AI agents, enterprise APIs, and agent orchestration frameworks. They will also be responsible for ensuring system reliability through validation, error handling, and observability patterns.

Requirements

Candidates must have 8+ years of professional software or ML engineering experience with deep fluency in LLMs and agentic systems. Proficiency in Python, API development, and practical experience with the Model Context Protocol are required.

Skills

Machine Learning
Python
LLMs
Agent Orchestration
Model Context Protocol
API Development
Distributed Systems
CI/CD
Docker
Kubernetes
LangChain
LangGraph
Vector Databases
System Design
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
AI Agents
Agentic Systems
LLMs
Model Context Protocol
Python
API
REST
Distributed Systems
Event-driven Patterns
CI/CD
Git
LangChain
LangGraph
FastAPI
Docker
Kubernetes
AWS
GCP
Azure
Vector Databases
MLflow
Weights & Biases
Slack APIs
Software Engineering
System Design
Observability
Automation
Marketing Decisions
Enterprise APIs

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