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Added 4 months ago
E
Embedded Software Engineer
Evertz
Burlington, Ontario
- $60,000 to $90,000 CAD / year
- Full-time
Must possess a degree in Electrical/Computer/Mechatronics Engineering or Computer Science
Added 5 months ago
S
Java Developer
Synechron
Montreal, Quebec
- $85,000 to $95,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 4 months ago
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Structurer
TradingHub
Toronto, Ontario
- Full-time
Understand customer needs through both direct contact and analysis of their trade data
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing,…
Added 4 months ago
K
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
- $140,000 to $196,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 3 months ago
Forward Deployed Engineer, Supply Chain
Jetson Home
North Vancouver, BC
A builder who ships. Strong engineering fundamentals, good judgment, and a drive to get things into people's hands. You're fluent in TypeScript, Python, or other high-level language,…
Added 3 months ago
BS
Full Stack Developer
Birdseye Solutions
Mississauga, ON
- Full-time
This needs to be an AI-native developer. We are not looking for someone who has merely tried ChatGPT, Copilot, or Claude. You should have fundamentally changed how you develop software…
Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
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…
Added 3 months ago
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Senior Machine Learning Developer
Weir
Vancouver, BC
- Full-time
Collaborate with world-class AI, software and engineering professionals
Added 3 months ago
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Lead Applied Scientist
AXIS (AXIS Capital)
Halifax, NS
- Full-time
Data and analytics are of critical importance for AXIS. We turn data into information so the business can make decisions with confidence, identify opportunities early, and operate more…
Added 2 months ago
Engineering Manager, Platform Infrastructure
OpenTable
Toronto, ON
OpenTable is seeking an Engineering Manager with a strong infrastructure or SRE background to lead the Serving Platforms team, a globally distributed group of 10 engineers responsible for…
Added 3 months ago
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Senior Applied Machine Learning Developer, Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 3 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Minimum of 8 years of experience in software development or data engineering.
Added 3 months ago
CS
Staff Software Engineer, GPU Inference
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…regression gates. Turn one-off investigations into repeatable engineering…
Added 2 months ago
Staff Software Engineer (Platform)
Dialpad
Kitchener, ON
…reusable services. Your impactful work helps improve Dialpad’s developer experience, productivity, security, and…
Added 5 months ago
Embedded Software Developer, Research & Development
Chemelex
Edmonton, AB
…efficiency in diverse environments – from industrial plants and data centers to people’s homes. We deliver future-ready technologies, advanced engineering capabilities and local expertise…
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Added 3 months ago
Software Developer - Core Data
Squarepoint Capital
Montreal, QC
Design, implement, test, optimize and troubleshoot data pipelines and services using Python and q
Added 3 months ago
J
Senior Software Engineer, Applied AI (Toronto)
Justworks
Toronto, ON
- $188,000 to $242,000 CAD / year
…focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in…
Added 3 months ago
E
Lead Water Resources Engineer/Sr. Modeler
EXP
Brampton, ON
- Full-time
Bachelor’s or master’s degree in civil engineering, Environmental Engineering, Hydrology, or a related field.
Added 3 months ago
VG
Software Engineer - Team Lead (Forward Deployed)
Volaris Group
Mississauga, ON · Canada - Mississauga, ON
- Full-time
- 7+ years of professional experience in software engineering (Python, TypeScript, Java, .NET, or similar)
Added 3 months ago
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Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 1 month ago
DI
Python Developer
Dawn InfoTek
Toronto, ON
- Contract
Python Developer – Copilot & AI Agents, Digital Applications
Added 4 months ago
WI
AWIPS Application Developer
WSP in Canada
St. John's, Newfoundland and Labrador · Greater St. John's Metropolitan Area
- Full-time
This is a deeply technical, hands‑on development role focused on Python and Java, production‑grade cloud environments, and complex data systems. You’ll also play a key role in reducing…
Added 4 months ago
L
Java Developer with QA
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 CAD / year
- Full-time
8 years of experience in a Quality Engineering role with a proven track record in designing and developing test automation frameworks

Adelphi Group

Data Scientist (ML Engineer)

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

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

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 recruitment@flywheeldigital.com 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/

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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

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