Find work in Canada.

328,152 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 1 month ago
Senior Machine Learning Engineer
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered future of financial analysis from the ground…
Added 27 days ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Design, develop, test, and optimize scalable data engineering solutions and reusable data assets that support analytics, AI/ML, and business-critical workflows across global platforms
Added 16 days ago
AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
Contribute to the development of LLMs and RAG systems including output quality benchmarking and model performance monitoring (OpenAI, Cohere, Claude via RBC's Claude shop), vector search…
Added 27 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
Mentor and raise the bar: set engineering standards, review designs and code, and grow depth across the team.
Added 1 month ago
Software Engineer II (AI Integration)
TD
London, ON · Toronto, ON
Full-time
The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines…
Added 3 days ago
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
We are looking for an AI Engineer to design, develop, and deploy production-grade Machine Learning and Generative AI
Added 1 month ago
Senior Machine Learning (ML Engineer) Lead in Brampton
Capgemini
Toronto, ON · Greater Toronto and Hamilton Area, ON
Full-time
…services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading…
Added 27 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Solid software-engineering fundamentals: clean, tested, maintainable code; API design; and an understanding of distributed-systems concepts (latency, resilience, availability).
Added 5 months ago
Senior AI Engineer
ShyftLabs
Toronto, Ontario
Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 1 month ago
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
Full-time
As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising…
Added 1 month ago
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
Full-time
As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising…
Added 16 days ago
AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Contribute to the development of LLMs and RAG systems including output quality benchmarking and model performance monitoring (OpenAI, Cohere, Claude via RBC's Claude shop), vector search…
Added 1 month ago
Staff AI Engineer
Maple
Toronto, ON
Full-time
A strong track record designing evaluation strategies for non-deterministic systems - offline evals, online evals, human-in-the-loop, regression harnesses
Added 4 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 9 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 27 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
This is a build-and-run engineering role. You will own capabilities end to end; designing, shipping, and operating them in production, including on-call. You will not build the AI models or…
Added 24 days ago
Sr. Software Engineer - AI Transformation Hub
Robert Walters
Toronto, ON
$150,000 to $220,000 CAD / year
Full-time
Mentor other engineers, contribute to design and architecture discussions, and help raise engineering quality across teams.
Added 2 months ago
AVP, Lead AI Engineer
Chubb
Toronto, ON
Full-time
Drive AI engineering workstreams across the Audit+ program, ensuring compliance of UW and Claims processing, automation of controls, as well as driving cost reduction.
Added 2 months ago
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
Full-time
…datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions.…
Added 2 months ago
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
Full-time
…datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions.…
Added 1 month ago
Gen AI Engineer
Tiger Analytics
Canada
Full-time
…Everest, ISG, and others.We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and…
Added 25 days ago
Senior Data & AI Engineer - Oil & Gas
Data Elephant
Canada
Contract
This role is ideal for someone who enjoys building end-to-end solutions - from data pipelines and backend systems to AI-powered applications - and wants to work on real-world industrial use…
Added 5 days ago
Senior AI Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ years of dedicated focus building…
Added 3 months ago
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
Internship
We are seeking a forward-thinking Software Engineer to join our team. Our mission is to integrate cutting-edge AI technologies into the core of our mobile ecosystem. In this role, you will…
Added 5 months ago
Senior Software Engineer, AI (Agents)
Klue
Vancouver, British Columbia
$145,000 to $183,000 CAD / year
Full-time
Build and ship backend systems that power agentic workflows. You design retrieval pipelines, orchestration layers, and multi-step agent architectures that turn millions of competitive data…

Adelphi Group

Data Scientist (ML Engineer)

Toronto, ON, Canada

Job type: Full-time
Experience: 5+ years of experience as a data scientist or engineer working with data scientists
Posting language: English
Posted: Jul 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Agency:

Flywheel

Job Function:

Data and Analytics

Job Subfunction:

Data Engineering

Job Description:

About Flywheel

Flywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe and APAC, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.

The Opportunity

Perpetua is the retail media platform within the Flywheel Commerce Network, built for the challenger brand; the operator who cannot out spend the category leader and has to out execute instead. Advertisers set goals based on strategy and Perpetua’s always on optimization executes the tactics.
As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising budgets across retail media. This is the engine that takes autonomous action on the customer’s behalf. It is not a model that produces recommendations for someone else to act on, but the system that sets bids and allocates spend in production, in real time, against each advertiser’s goals. Your work runs live across thousands of customers worldwide.

Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run and Vertex AI to productize cutting-edge data features. We are currently working on developing a scalable advertising bidding platform that enables advertisers to implement custom and versatile bidding strategies including but not restricted to maximizing advertising sales, dominating top-of-search placements, optimizing for total sales, incremental sales, new-to-brand purchases, organic rank, etc. Increasingly, this work sits alongside a newer layer of generative and agentic AI; LLM-based reasoning that plans, explains, and reacts to natural language goals. Knowing where classical optimization is the right tool and where the generative layer adds leverage is part of the craft on this team.

What You Will Do:
Work across retail media (starting with Amazon) to understand the intricate relationships between bids, placement, conversion, and sales, and turn that understanding into systems that optimize advertising autonomously on the customer’s behalf.

Design, Implement, and Analyze experiments for deriving Actionable Insights.

Analyze advertising performance data to improve the core strategies that power Perpetua's advertising engine.

Help define how Perpetua’s machine-learning optimization works alongside the emerging generative and agentic layer, deciding where reinforcement learning and classical optimization are the right tools, and where LLM-based reasoning meaningfully improves how the platform plans and explains its decisions.

Support the growth of the team by contributing to activities for establishing best practices, recruitment, and authoring design documents.

Who You Are:
5+ years of experience as a data scientist or engineer working with data scientists

Strong experience with algorithms and data pipelines processing terabytes of data per day

You have experience taking concepts from inception through to production and ongoing monitoring and enhancements

Experience in retail media, digital advertising, or e-commerce is an asset

You have worked in organizations with cross-functional teams of ~5 people, solving hard problems collaboratively and working tightly with your immediate team members and across the organization

Working knowledge of reinforcement learning and linear/non-linear optimization is a strong asset, given how central these techniques are to the bidding engine

Curiosity about applied LLMs and agentic systems, and comfort using modern AI-assisted development tools (such as Claude Code) as part of how you build

Able to create and make changes to traditional ML models, including but not limited to Linear regression, XGBoost and Logistic regression

Competent in training and evaluating models using mainstream data science tools including but not limited to sklearn, Pandas, keras and/or PyTorch

Experience in cloud native ML training platforms like BigQuery ML or Snowpark

Working at Flywheel

We are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture.
We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others - team members go into Hub Offices 3x a week

Competitive paid time off, including annual leave plus paid public holidays

Great learning and development opportunities

Benefits that help you live your best life

Parental leave and benefits

Volunteering opportunities

If you’re looking to connect with teammates on a topic of inclusion and identity, chances are there’s an ERG for that.

So you know: The hired candidate will be required to complete a background check

Learn more about us here: Life at Flywheel

The Interview Process:

Every role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.

Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.

Inclusive Workforce

Flywheel Commerce Network’s goal is to create a culture where all individuals of all backgrounds feel comfortable in bringing their authentic selves to work. We want all people to feel included and empowered to contribute fully to our vision and goals. Flywheel Commerce Network is an Equal Opportunity Employer and participates in E-Verify. All applicants will receive fair consideration for employment. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at [email protected] so that we can support you.

For more information about what data we collect and how we use it, please refer to our Privacy Policy.

We leverage AI technology to streamline our hiring workflow, though all candidate decisions are made by our Talent Acquisition Team. This position is for an existing vacancy.

IMPORTANT ALERT: Please beware of fraudulent job communications from individuals falsely claiming to be from Flywheel. We've identified fraudulent activity through social media and messaging services purporting to be from Flywheel requesting payments for job- and recruitment-related expenses. Flywheel never asks candidates for personal information such as bank account data or tax IDs nor payments via social media or chat-based applications. Report suspected fraud to local authorities immediately. To learn more, click here.

Please note,?we do not accept unsolicited resumes from 3rd party Recruitment Firms.

$120,000 - $140,000 CAD

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/

Apply About employer

More about this job

Responsibilities

Design, experiment with, and deploy machine learning systems that autonomously manage advertising budgets across retail media platforms. Collaborate with cross-functional teams to integrate classical optimization with generative AI and LLM-based reasoning to improve bidding strategies.

Requirements

Requires 5+ years of experience as a data scientist or engineer with strong proficiency in algorithms and processing large-scale data pipelines. Candidates should have experience taking machine learning models from inception to production and possess knowledge of reinforcement learning and optimization techniques.

Skills

Python
Machine learning
Data engineering
Reinforcement learning
Linear regression
XGBoost
Logistic regression
Sklearn
Pandas
Keras
PyTorch
Google Cloud Platform
Vertex AI
BigQuery ML
Snowpark
LLMs

Benefits

Competitive rewards package
Paid time off
Annual leave
Public holidays
Learning and development opportunities
Parental leave
Volunteering opportunities
Employee Resource Groups

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
ML Engineer
Digital Commerce
Retail Media
Advertising
Python
Google Cloud Platform
Cloud Run
Vertex AI
Machine Learning
Reinforcement Learning
Linear Regression
XGBoost
Logistic Regression
Sklearn
Pandas
Keras
PyTorch
BigQuery ML
Snowpark
LLMs
Generative AI
Agentic Systems
Data Pipelines
E-commerce
Optimization
Bidding Platform
Claude Code
Amazon
Digital Advertising

Report this job