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Added 16 days ago
L
Senior Murex Integration Specialist (S4C)
Luxoft
Canada
- Full-time
4. Work with technologies including SQL, Unix, and Murex proprietary standards like Murex Scripting Language (MSL), XMLF, etc. for client solutions.
Added 16 days ago
S
Python Developer
SMARTFOX
Canada
- Full-time
Senior Developer - 5+ years : Architecting services, setting technical direction, leading projects, raising engineering standards
Added 16 days ago
TC
forward Deployed Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 16 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…analytics through products including Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and…
Added 16 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and…
Added 16 days ago
C
Senior Full-Stack Engineer, Cohere Dashboard
Cohere
Remote, Canada
- Full-time
- Remote
You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
Added 16 days ago
Data Engineer
Capgemini
Mississauga, ON
Acts as SME to senior stakeholders and or other team members
Added 16 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Position typically deals with senior/executive management.
Added 16 days ago
AE
Senior Specialist, Geology & Data Science
Alberta Energy Regulator
AB · Calgary, AB · Edmonton Regional Office
- Full-time
Strong technical proficiency with Python, R, SQL, or other high-level programming languages and software tools used to support data management and analytics.
Added 16 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Added 16 days ago
R
Associate Director, GRA - Market Risk Analytics
RBC
Toronto, ON
- Full-time
Provide comprehensive explanation to risk managers, senior management and regulators regarding methodology analysis.
Added 16 days ago
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Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Advanced skills in Python, SQL, SAS, R, or comparable analytical tools; ability to translate complex analysis for senior audiences.
Added 16 days ago
SI
Lead Product Analyst
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Advanced SQL, and experience with Python or R for analysis and statistical wor
Added 16 days ago
RB
Senior Backend/API Developer
Royal Bank of Canada
Toronto, ON
- Full-time
…revolutionizing payment solution for commercial clients. We are seeking a Senior API Developer to build the robust and scalable APIs. As a key player, you'll contribute to every stage of…
Added 16 days ago
RB
Lead Senior Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…Markets, and external vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments.…
Added 17 days ago
GT
Data Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $50 to $60 CAD / hour
- Contract
We are seeking a Senior Data Analyst / Product Owner to support the end-to-end delivery, enhancement, and lifecycle management of data and analytics products. This hybrid role combines deep…
Added 17 days ago
IG
Senior Data Governance Analyst
Insight Global
Toronto, ON
- $37 to $42 CAD / hour
- Contract
We are seeking a Senior Data Governance Analyst to join a growing Data Governance team within a leading financial services organization. This role will primarily focus on data…
Added 17 days ago
R
Senior Backend/API Developer
RBC
Toronto, ON
- Full-time
…revolutionizing payment solution for commercial clients. We are seeking a Senior API Developer to build the robust and scalable APIs. As a key player, you'll contribute to every stage of…
Added 17 days ago
R
Lead Senior Software Engineer
RBC
Toronto, ON
- Full-time
…Markets, and external vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments.…
Added 17 days ago
SE
Senior AI Software Enginer
Stikeman Elliott LLP
Toronto, ON
- Full-time
…is already in daily use and continues to expand. This is the senior engineering role responsible for advancing its…
Added 17 days ago
Senior Manager, Analytics and BI
Scotiabank
Toronto, ON
…to improve consistency, scalability, self-serve access, and senior management…
Added 17 days ago
LI
Netezza Engineer
LanceSoft, Inc.
Toronto, ON
- $58 to $62 CAD / hour
- Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 17 days ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- Full-time
Hands-on expertise with AWS data services, Databricks, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL.
Added 17 days ago
S
Data Engineer
Swoon
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Job Title: Data Analyst - Expert (Senior Data Engineer)
Added 17 days ago
C
Senior Engineer (Python / AWS / On-Premise)
Caddie
Toronto, ON
- Full-time
Strong Python, including NumPy, and SQL well past CRUD

HelloFresh

Senior Machine Learning Engineer, Benefits Personalization

Toronto, ON, Canada

$170,000 - $200,000 CAD

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Job details

Pay: $170,000 - $200,000 CAD
Posting language: English
Posted: Oct 13, 2026

Original job description

S'more about the team

The position is part of the Growth Alliance, which has the mission to empower the HelloFresh business to convince more customers to try, recommend, or return to our products. Within Growth, the Customer Value Optimization Tribe maximizes long-term customer value by optimizing pricing, personalizing benefits, forecasting customer value (CLV), and creating compelling incentives that drive retention and revenue growth. As a Senior ML Engineer within our Benefits Personalization Squad, you will own the data infrastructure that powers personalized customer experiences at HelloFresh: helping us deliver the right benefits, incentives, and offers to the right customers at the right time.

Our Engineers assume development and operational responsibility for the HelloFresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers and internal users.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Lettuce share what this role will be responsible for

Take ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.
Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams
Demonstrate an in-depth understanding of HelloFresh’s core product and architecture, and act as ambassador for software/data solutions offering support and mentorship to colleagues
Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, dbt, as well as our in-house Data Pipeline tools
Leverage Claude Code and other AI tools as productivity multipliers
All other duties, as assigned

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

Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQL
Hands-on experience with cloud computing and data processing technologies, including PySpark, Kubernetes, Kafka
Expertise in data modeling, relational databases (e.g., PostgreSQL), object stores (e.g., AWS S3), data platforms (Databricks)
Proven expertise in making efficient and robust data pipelines, including optimizing their performance
Passion for leveraging AI tools to streamline collaboration and execution
Passion for data quality assurance, data monitoring
Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integration
Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
Ability to continuously develop yourself and learn from your peers
Ability to collaborate and mentor team members, while also sharing practical knowledge and trends
Familiarity with e-commerce and subscription-based businesses is a plus
Interacting with back-end developers, front-end developers, product analysts, product managers and other teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.

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!
RRSP Matching - Competitive RRSP matching program offered
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.

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

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More about this job

Responsibilities

You will own the end-to-end architecture, development, and operations of data pipelines to power personalized customer experiences. You will also collaborate within cross-functional agile teams to deliver scalable machine learning solutions and mentor colleagues.

Requirements

The role requires extensive experience in the end-to-end lifecycle of production machine learning systems and solid data engineering skills. Proficiency in Python, SQL, cloud technologies, and agile methodologies is essential for this position.

Skills

Python
SQL
PySpark
Kubernetes
Kafka
AWS
Databricks
Data modeling
Machine learning
Data engineering
DevOps
Agile methodologies
Data pipelines
Software architecture
Mentorship
Communication

Benefits

Box discount
Health and dental benefits
Health spending account
Headspace app access
Fitness membership discount
RRSP matching
Vacation and PTO
Parental leave top-up
Career development and learning
Team socials

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Engineering
Python
SQL
AWS
PySpark
Kubernetes
Kafka
Databricks
Airflow
Prefect
Tecton
dbt
DevOps
Agile
Data Pipelines
Data Modeling
PostgreSQL
Cloud Computing
E-commerce
Subscription-based business
Data Quality
Monitoring
CI/CD
Software Architecture
Mentorship
Growth Alliance
Customer Value Optimization
Claude Code
AI tools

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