Jobs in Canada

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Added 26 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Experience with SQL, databases, data processing, and integration with enterprise data sources.
Added 26 days ago
P
Machine Learning Engineer
Pinnacle
Toronto, ON
- Full-time
Experience working with relational databases such as SQL server, PostgreSQL or Google BigQuery.
Added 26 days ago
SM
RQ11745 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 26 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 26 days ago
C
Sr. Manager, Application Development
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 26 days ago
B
Senior Manager, Counterparty Credit Risk Analytics
BMO
Toronto, ON · YNG
- Full-time
Programming skills (Python/SQL preferred) for analytics and automation
Added 26 days ago
EC
Manager, Analytics & Information Systems
ErinoakKids Center for Treatment and Development
Mississauga, ON
- Full-time
Proficiency in Power BI; familiarity with SQL, data warehousing, or related tools is an asset.
Added 26 days ago
GO
Senior System Analyst
Government of New Brunswick
NB · NB, Canada
- Full-time
Added 26 days ago
Anaplan Solutions Analyst
CONA Services
Toronto, ON
Develop foundational knowledge of Snowflake, Informatica, SQL and related data platforms.
Added 26 days ago
Anaplan Solutions Analyst
CONA Services
Toronto, ON
Develop foundational knowledge of Snowflake, Informatica, SQL and related data platforms.
Added 26 days ago
AT
Java Engineer with Apache Flink
Arkhya Tech Inc.
Toronto, ON
- Contract
Pipeline Engineering: Design, develop, and maintain production-grade, stateful stream processing applications using the Java DataStream and Table/SQL APIs in Apache Flink.
Added 26 days ago
P
Software Engineer, Test
Providius
Hamilton, ON
- $60,000 to $80,000 CAD / year
- Full-time
Basic understanding of SQL and relational databases
Added 26 days ago
CC
Microsoft Developer/RQ11660 - Software Developer - CRM
Computer Consultants International, Inc.
Toronto, ON
- Contract
We are hiring for a Software Developer – MS Dynamics 365 CRM
Added 26 days ago
AS
Data Platform Engineer
AgileGrid Solutions
Canada
- Full-time
Advanced proficiency in SQL and Python for large-scale data processing and performance optimization.
Added 26 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
o Leverage PySpark/Spark and SQL to transform and process large datasets.
Added 26 days ago
US
Python & SQL Developer - Montreal, QC - 3 Days Onsite per Week Mandatory
United Software Group Inc
Montreal, QC
- Contract
We are seeking a Python & SQL Developer with 5-8 years of experience in designing, developing, and supporting data-driven applications and solutions. The ideal candidate will have strong…
Added 26 days ago
A
Senior Data Analyst - Fintech (m/f/d)
AutoTrader.ca
Toronto, ON
- Full-time
Strong proficiency in SQL and BI tools such as power bi, tableau or quicksight
Added 26 days ago
V
Application Production Support Analyst
Vertage
Montreal, QC
- Contract
Strong experience with Oracle and/or Microsoft SQL Server.
Added 26 days ago
JG
Counterparty Credit Risk Manager
JCW Group
Toronto, ON
- Full-time
Advanced knowledge of Power BI, Python, SQL, and Unix is an asset
Added 26 days ago
I-
Software Developer - Full Stack - Senior - 755
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Experience working with relational databases, data modelling, SQL and data integration solutions.
Added 26 days ago
SS
Application Support Analyst
Soho Square Solutions
Montreal, QC
- Contract
Added 26 days ago
VI
Digital Analyst
VERB Interactive
Halifax, NS
- Full-time
Hybrid work arrangements (3 days in office per week for local employees)
Added 26 days ago
C
Senior Java Full Stack Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 2 days per week in a client office in Toronto, Ontario
Added 26 days ago
C
Senior Java Backend Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
As a Senior Java Backend Developer, you will make an impact by designing, developing, and supporting scalable cloud-native applications and microservices that power critical customer-facing…
Added 26 days ago
O
Analytics Intern
Orennia
Calgary, AB
- Volunteer
You have strong analytical ability including statistical methods and optimization concepts. Programming, database and software skills (Excel, VBA, Python, SQL) considered an asset.

Pinnacle

Machine Learning Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Oct 15, 2026

Original job description

Job Title: Machine Learning Engineer

Location: Toronto (Hybrid)

About us:

Welcome to Pinnacle, the ultimate destination for sports enthusiasts seeking an exhilarating sportsbook and gaming experience! Established in 1998, we have solidified our position as one of the globe's foremost licensed online gaming companies. With our cutting-edge offerings, we guarantee an electrifying experience that will keep you on the edge of your seat.

Pinnacle invites you to join our team and become an instrumental figure in the exciting realm of sports betting. Our vibrant team is fueled by passion and driven by innovation, working together to redefine the landscape of sports betting and gaming. Together, we constantly strive to surpass limitations and deliver unparalleled experiences to sports enthusiasts worldwide. Prepare yourself for a thrilling journey and discover sports in an entirely new dimension with Pinnacle!

Job Purpose:

We are seeking a Machine Learning Engineer for a role encompassing sports modelling, algorithm development, and both building and utilizing tools to support model evaluation and performance analysis. The ideal candidate will have experience working with traditional statistical learning techniques, probabilistic graphical models, and a deep understanding of data analysis and visualization. Proficiency in R is strongly preferred, as is a demonstrated ability to work with large datasets, develop intuitive visualization tools, and deliver insights to inform decision-making. A passion for sports, sports analytics, sports betting, and fantasy sports is also beneficial.

The ideal candidate should have:

A degree in Mathematics, Computer Science, Statistics, or a related field. Advanced degrees (MS/PhD) specializing in Machine Learning or Statistics are highly desirable.
Experience with statistical computing in R, with proficiency in modern R packages and technologies such as data.table, dplyr, tidyr is preferred.
Strong experience building and utilizing existing tools for model evaluation and performance analysis, ideally in R utilizing visualization tools such as ggplot2, shiny, and plotly.
Deep knowledge of traditional machine learning techniques, such as linear regression, generalized linear models (GLMs), and generalized additive models (GAMs).
Expertise in probabilistic graphical models, such as directed acyclic graphs (DAGs) and Markov chains, is a strong plus.
Demonstrated ability to work with large datasets efficiently and develop optimized code, with tools such as Rcpp, microbenchmark, and profviz, is a big plus.
Experience working with relational databases such as SQL server, PostgreSQL or Google BigQuery.
A passion for sports, sports analytics, sports betting, or fantasy sports is highly beneficial.

Working Environment:

We foster a collaborative environment that emphasizes skill development, mentorship, and tackling a combination of theoretical and real-world problems in sports analytics and betting. With opportunities for continuous learning and growth, team members expand their technical expertise, gain exposure to new technologies, and deliver impactful solutions in a fast-paced, dynamic industry, supported by open communication and mutual respect.

Core Responsibilities:

This is a key role within the team, focusing primarily on building and iterating on predictive models, and developing tools to support model evaluation and performance analysis. These models are released to real production environments, analyzed by expert traders, and eventually form the basis of the initial layer of our odds engine. The performance of these models are analyzed against our sharp betting clientele and constantly iterated upon based on the changing dynamics of market trends, data feed quality, sport-specific gameplay, and rule changes.

Technical Expertise:

A strong background in statistics, machine learning, and algorithm development is essential. Candidates will ideally have advanced proficiency in R, with experience coding for production environments. However, for those who are less experienced with R directly, we offer a highly supportive internal ecosystem with dedicated guidance to help develop R skills.

Development Expertise:

Understanding of software principles and functional coding principles are necessary. Experience deploying models to production in real world applications with feedback from senior teammates and key stakeholders is a strong plus. Experience with code optimization, Rcpp/C++, and R package development are highly valued. Experience using tools like GIT, JIRA, along with participating in peer reviews to ensure high quality, maintainable code in a collaborative development environment is highly desired.

Data and Evaluation Focus:

Demonstrated ability to work with large datasets, optimize code for performance, and deliver insights through well-designed tools is critical. Experience with Shiny for building tools and ggplot2 or similar libraries for data visualization is highly valued.

Soft Skills:

Strong communication skills (both verbal and written) are required to convey complex information effectively. The ideal candidate will also have strong analytical, conceptual, and problem-solving abilities, with attention to detail.

Domain Knowledge:

A thorough understanding and passion for sports, sports analytics, and sports betting markets is highly desirable. Experience working with sports betting markets, financial markets, or similar applications is a plus.

Bonus Skills:

Experience with Bayesian techniques and their implementation to solve practical problems with software like STAN or NIMBLE, is a plus, though not required. Familiarity with Rcpp, C++, and tools like profvis, microbenchmark, parallel is a strong plus

We are an equal opportunity employer dedicated to fostering an inclusive and diverse workplace. We prioritize hiring the best candidates based on their skills and qualifications, irrespective of race, gender, age, religion, or any other characteristic. Our strength lies in our diverse teams, and we proudly celebrate and empower everyone to embrace and promote diversity throughout their time with us.

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More about this job

Responsibilities

Build and iteratively improve predictive sports models for production use, where they inform the initial layer of the odds engine. Develop tools for model evaluation and performance analysis, assess results against betting-market dynamics and data quality, and refine models as conditions change.

Requirements

A degree in mathematics, computer science, statistics, or a related field is expected; a master's or PhD specializing in machine learning or statistics is highly desirable. Candidates should have strong statistical and machine-learning expertise, preferably with R, experience handling large datasets and evaluating models, and strong analytical, communication, and problem-solving skills; sports analytics or betting knowledge is an advantage.

Skills

Machine Learning
Statistical Modeling
R
Data Analysis
Data Visualization
Model Evaluation
Predictive Modeling
Probabilistic Graphical Models
SQL
Code Optimization
Production Deployment
Shiny
ggplot2
Rcpp
C++
Sports Analytics

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Sports Modeling
Statistical Learning
R
data.table
dplyr
tidyr
ggplot2
Shiny
plotly
Linear Regression
Generalized Linear Models
Generalized Additive Models
Probabilistic Graphical Models
Directed Acyclic Graphs
Markov Chains
SQL Server
PostgreSQL
Google BigQuery
Rcpp
C++
Git
Jira
Bayesian Techniques
Stan
NIMBLE
profvis
microbenchmark
Sports Betting
Odds Engine

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Jobs in Canada