Jobs in Canada

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Added 3 months ago
LC
Director, Application Security and Vulnerability Management
Loblaw Companies Limited
Brampton, ON
- Full-time
Strong understanding of application and API architectures, microservices, authentication flows, cloud-native services, containers, serverless platforms, and software supply-chain risk…
Added 2 months ago
Principal, Software Engineering
CMHC - SCHL
Ottawa, ON · Montreal, QC
A strong background in cloud-native platforms (e.g., Azure Functions, Logic Apps, Kubernetes) and CI/CD pipelines.
Added 4 months ago
L
Angular Developer
LTM
Ontario · Ontario, Canada
- $85,000 to $120,000 CAD / year
- Full-time
Experience with build pipelines TeamCity Jenkins etc and cloud native buildhosting pipelines OpenShift Harness Tekton
Added 4 months ago
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Staff Software Engineer, Platform
Valence
Toronto, Ontario
- Full-time
Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re…
Added 4 months ago
MF
Product Management Lead, Private Sector
Magnet Forensics
Ottawa, Ontario
- $150,000 to $200,000 CAD / year
- Full-time
Technical Acumen: Ability to work closely with engineering teams to understand cloud-native solution architectures and evaluate trade‑offs across complexity, scalability, and customer…
Added 4 months ago
MF
Product Management Lead, Private Sector
Magnet Forensics
Toronto, Ontario
- $150,000 to $200,000 CAD / year
- Full-time
Technical Acumen: Ability to work closely with engineering teams to understand cloud-native solution architectures and evaluate trade‑offs across complexity, scalability, and customer…
Added 4 months ago
AE
Manager, Software Engineering (Service Cloud)
Arc'teryx Equipment
North Vancouver, British Columbia
- Full-time
Leading the design, development, and deployment of new features within our Salesforce suite ( Service Cloud, Experience Cloud, Commerce Cloud, Loyalty Cloud ) utilizing both declarative and…
Added 4 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Contract
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 4 months ago
TN
Senior Database Engineer
The Nationwide Group
Markham, Ontario
- $140,000 to $165,000 CAD / year
- Full-time
Administer, monitor, and optimize production, staging, and development databases (e.g., PostgreSQL, MySQL, cloud-native databases).
Added 2 months ago
A
Software Engineer (C++) - Platform & Emerging Technologies
Autodesk
Toronto, ON · Montreal, QC
- Full-time
You will have the opportunity to contribute to cloud-native services, APIs, data platforms, and emerging AI-powered experiences while gaining hands-on experience with modern software…
Added 2 months ago
M
VP of Engineering (Canadian candidates only)
Medchart
Toronto, ON
- Full-time
…challenging technical assumptions, and coaching a team in a cloud-native, regulated environment. We're an Azure shop, so comfort operating in and around the Azure ecosystem matters; you…
Added 4 months ago
L
Java Fullstack Developer
LTM
Ontario · Ontario, Canada
- $90,000 to $125,000 CAD / year
- Full-time
Experience with build pipelines TeamCity Jenkins etc and cloud native build hosting pipelines OpenShift Harness Tekton
Added 4 months ago
E
Senior Software Engineer - Backend
Evertz
Burlington, Ontario
- Full-time
Expertise in AWS, cloud-native applications, and microservices architecture
Added 4 months ago
U
Tech Lead, Software Development
Univeris
Toronto, Ontario
- $100,000 to $130,000 CAD / year
- Full-time
…of their team's output and the professional growth of every developer on their team. The following responsibilities apply across all…
Added 4 months ago
U
Engineering Manager, Software Development
Univeris
Toronto, Ontario
- $110,000 to $150,000 CAD / year
- Full-time
Cloud-centric apps: RESTful APIs, microservices, containers, Kubernetes, Terraform, Spring Boot
Added 4 months ago
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SAP Senior Architect & Delivery Lead 1
Celestica
Ontario · Ontario, Canada
- Full-time
Familiarity with SAP Business Technology Platform (BTP) and cloud-native/SaaS architectures
Added 4 months ago
SH
Hybrid Cloud Solution Architect
Siemens Healthineers
Oakville, Ontario
- Full-time
The Hybrid Cloud Solution Architect will join the team that designs, builds and operates Siemens Healthineers’ global Multi-Cloud (Microsoft Azure & AWS) and onpremises environments. This…
Added 5 months ago
M
Sr. software developer
Mindtris
Toronto, Ontario
- Full-time
We are looking for a software developer who will design, build, and maintain secure, cloud-native microservices and APIs for Capital Markets products. The position uniquely bridges backend…
Added 3 months ago
Cloud Systems Administrator
NDT Global Group
Quebec, QC
Manage virtual machines, storage, networking, backup, and cloud-native services
Added 3 months ago
Forward Deployed Engineer, Supply Chain
Jetson Home
North Vancouver, BC
…other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You value breadth and speed over deep…
Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
Experience in cloud native ML training platforms like BigQuery ML or Snowpark
Added 3 months ago
CS
Staff Software Engineer, GPU Inference
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
Architect cloud-native data platforms across AWS, Azure, or Google Cloud Platform.
Added 5 months ago
F
Director of Software Engineering (Canada)
Flosum
Canada
- Full-time
…bar for engineering excellence. We combine deep expertise in cloud-native development with a relentless focus on quality, speed, and innovation. Every line of code we ship is built to…
Added 4 months ago
T
Senior AI Productivity Analyst, Data Analytics
Techedin
Toronto, Ontario
- $60 to $70 CAD / hour
- Full-time
Support the development of scalable measurement frameworks that help teams understand and maximize the value of AI-native and AI-augmented capabilities.

Adelphi Group

Data Scientist (ML Engineer)

Toronto, ON, Canada

Full-time

Apply on interpublic.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

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/

Apply on interpublic.wd5.myworkdayjobs.com 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

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Work requirements

Jobs in Canada