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
S
Data Architect - Canada Region
Slalom
Toronto, ON
- Full-time
Added 2 months ago
CG
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
- Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 2 months ago
SM
Senior Data Scientist
Spin Master
Toronto, ON
- Full-time
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
Reports to: Head of Applied AI & Data Engineering
Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
Added 2 months ago
IC
Data Architect
ICES Central
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
P
Senior Machine Learning Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 1 month ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
4E
Senior Data Scientist
407 ETR
Woodbridge, ON
- Full-time
…on pricing, marketing and customer travel behavior. The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
Added 3 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
…patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with…
Added 2 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON
- Full-time
Added 3 months ago
IC
AI / Machine Learning Engineer
Infoya Career Connect
Toronto, ON
- $85,000 to $105,000 CAD / year
- Full-time
Added 2 months ago
TK
Senior Data Architect
The Kraft Heinz Company
Toronto, ON
- Full-time
This position implements and maintains domain specific data architecture at Kraft Heinz, ensuring assigned data assets are properly organized, structured, and secured. Collaborate with…
Added 3 months ago
O
Machine Learning Engineer
Opendoor
Toronto, ON
- Full-time
Added 2 months ago
Data Scientist, Fraud
Stripe
Toronto, ON
Added 3 months ago
PI
Lead Data Scientist
Princeton IT Services, Inc
Toronto, ON
- Full-time
…transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions,…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Added 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
Added 3 months ago
O
Machine Learning Scientist (Graduate/Postdoc Level) - Contract
Oncoustics
Toronto, Ontario
- Contract
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate will be able to…
Added 3 months ago
EN
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks
Toronto, Ontario
- Full-time
Principal Data Scientist – (Gen AI, Machine Learning)

HelloFresh

Senior Machine Learning Engineer, Growth

Toronto, ON, Canada

$170,000 - $200,000 CAD

Apply About employer

Applications open in a new tab.

Job details

Pay: $170,000 - $200,000 CAD
Posting language: English
Posted: Sep 4, 2026

Original job description

We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.

S'more about the team

We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.

Lettuce share what this role will be responsible for

As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:

Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary.
Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end.
All other duties, as assigned

Sound a-peeling? Here's what we're looking for

Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work.
Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
Expert programming skills in Python and PySpark.
A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.
You take full ownership. You have a bias to ship. You finish the last twenty percent.
You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence.

Let’s cut to the cheese, this is why you'll love it here

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
Family Benefits - A parental leave top-up program for expectant parents.
Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#Engineering

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Toronto, ON Pay Range

$170,000 - $200,000 CAD

Apply About employer

More about this job

Responsibilities

You will architect and deploy robust machine learning infrastructure to support intelligent marketing systems and predictive scoring. Additionally, you will transition algorithmic prototypes into high-performance production microservices while managing LLM-based orchestration frameworks.

Requirements

The role requires extensive experience in the end-to-end lifecycle of production ML systems and proficiency with hyperscaler ecosystems like AWS, GCP, or Azure. Candidates must possess expert programming skills in Python and PySpark, along with a degree in Computer Science or a related engineering field.

Skills

Machine learning
Python
PySpark
PyTorch
TensorFlow
HuggingFace
AWS
GCP
Azure
Microservices
LLM orchestration
Data pipelines
CI/CD
Feature stores
Drift detection
Predictive modeling

Benefits

Box discount
Health benefits
Dental benefits
Health spending account
Headspace app access
Fitness membership discount
Paid time off
Parental leave top-up
Career development
Team socials

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Growth Tech
Infrastructure
Marketing Optimization
Microservices
LLM
Predictive Scoring
Python
PySpark
PyTorch
TensorFlow
HuggingFace
AWS
GCP
Azure
CI/CD
Feature Stores
Drift Detection
Data Pipelines
Gen AI
Multi-modal Embeddings
Productionization
Scalability
Marketing Automation
Software Engineering

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