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Added 1 month ago
CI
Director of Business Intelligence & Analytics (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
D&A and AI Transformation: Drive the adoption of analytics, automation, and AI-enabled tools that enhance data accessibility, visualization, reporting, and decision support. Work closely…
Added 1 month ago
BC
Sr. Site Reliability Engineer
Blackpoint Cyber
Remote, Canada
- $155,000 to $185,000 CAD / year
- Full-time
- Remote
…our cloud and on-premise infrastructure and CI/CD pipelines, with a focus on automation, scalability, and performance. You'll work across cloud platform administration, container…
Added 1 month ago
E
Senior DevOps Engineer
e-STORAGE
Kitchener, ON
- Full-time
With our innovative SolBank lithium-iron phosphate battery technology and comprehensive project services, we’re not just building products we’re powering communities and making a difference…
Added 1 month ago
EA
Underwriting & Portfolio Analyst
Europ Assistance Canada
Toronto, ON
- Full-time
…world’s leading institutions and their customers and employees with insurance, assistance and prevention services that free them to make the most of every…
Added 1 month ago
S
Applied Artificial Intelligence Engineer
SJC
Toronto, ON · North York, ON
- $110,000 to $130,000 CAD / year
- Full-time
…technology, and state-of-the-art print facilities. We collaborate with clients across North America to deliver innovative marketing solutions that effectively inform, inspire, and empower…
Added 1 month ago
C
Développeur logiciel senior – Systèmes de négociation électronique
CGI
Montreal, QC
- Full-time
We are seeking a Senior Software Developer – Electronic Trading Systems with 5–10 years of relevant industry experience to design, develop, enhance, and support high performance trading…
Added 1 month ago
PI
Principal RF Modeling & Characterization Engineer
Palitronica Inc.
Waterloo, ON
- $140,000 to $180,000 CAD / year
- Full-time
Proficiency with Python, MATLAB or similar tools for analysis, automation and model development.
Added 1 month ago
SD
DevOps Engineer - Senior
Symbiotic Digital
ON · Downtown Toronto (CN Tower / King and Spadina / Railway Lands / Harbourfront West / Bathurst Quay / South Niagara / YTZ), Ontario
- Contract
with build and automation tools including Git, Ansible, CloudFormation,
Added 1 month ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and hands-on experience with PyTorch.
Added 1 month ago
OT
Lead Cloud Applications Administrator
Open Text Corporation
Mississauga, ON
- Other
Automation and modern IT skills including Jenkins, Python, Ansible, Bash scripting, and AI, with ITIL certification considered an advantage.
Added 1 month ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
…across batch and real-time use cases. You will partner closely with Staff MLEs, Data Scientists, and platform stakeholders to establish the first generation of reusable ML infrastructure,…
Added 1 month ago
Data Platform Operations Engineer
Scotiabank
Toronto, ON
…after-hours on-call support on a rotational basis. You will partner with teams such as IAM, Network, Cloud Ops, Security, and client delivery teams to resolve issues and keep the platform…
Added 1 month ago
Software Engineer
Capgemini
Mississauga, ON
We are seeking an experienced Software Developer to join a collaborative Agile development team. The successful candidate will be responsible for designing, developing, testing, and…
Added 1 month ago
Ingénieure SRE / Site Reliability Engineer
mthree Recruiting Portal
Montreal, QC
…notamment à travers l’utilisation de langages de script tels que Python, Bash ou Perl. La maîtrise d’au moins un langage de programmation de plus haut niveau est…
Added 1 month ago
B
Equity Research Database & Development Associate
BMO
Toronto, ON · FCP
- Full-time
Question the integrity of data; delve into data issues raised and work with Operations/Technology to fix at the source considering the implication on any other data that would be similarly…
Added 1 month ago
S
Senior Ethical Hacker
Stantec
Toronto, ON
- Full-time
Collaborate with cross-functional teams (security, engineering, cloud and network operations).
Added 1 month ago
Senior Software Engineer, Full-Stack Applications (Python & React)
Fitch Group
Toronto, ON
…that support core business capabilities, partnering closely with engineers, product managers, and business stakeholders. We are looking for a highly experienced software engineer with deep…
Added 1 month ago
WC
Senior Analyst, Walmart Services
Walmart Canada
Mississauga, ON
- Full-time
Proficiency in Microsoft Excel and PowerPoint; experience with SQL, R, and/or Python is an asset.
Added 1 month ago
KS
Quality Assurance Team Lead
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an experienced QA-Lead with strong expertise in Capital Markets and Wealth Management Technology (WMT) to support a large-scale transformation initiative focused on…
Added 1 month ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
Added 1 month ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
Added 1 month ago
HT
Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture,…
Added 1 month ago
S
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at…
Added 1 month ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Build scalable automation solutions using Python and modern testing tools such as Playwright, with a focus on maintainable framework design, CI/CD integration, and reducing dependency on…
Added 1 month ago
S&
Lead Transmission Line Engineer - Grid
Sargent & Lundy
Calgary, AB
- Full-time
…our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design activities,…

Scientific Games

Senior Machine Learning Engineer

Toronto, ON, Canada
HR Toronto - Canada, Canada

Full-time

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Job details

Job type: Full-time
Experience: 3+ years of hands-on experience in ML engineering, platform engineering, or production ML systems
Posting language: English
Posted: Aug 19, 2026

Original job description

Scientific Games:

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

About the Role

We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized gatekeeping team. Instead, the mission is to build self-service ML tooling and golden paths that enable Data Scientists to independently take models from experimentation to reliable production deployment across batch and real-time use cases. You will partner closely with Staff MLEs, Data Scientists, and platform stakeholders to establish the first generation of reusable ML infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the organization

**This position will start remotely and transition to a hybrid role. Candidates must be local to Toronto, ON.

Qualifications

Key Responsibilities

Build reusable self-service tooling for model packaging, deployment, batch inference, and real-time serving
Develop platform capabilities that enable Data Scientists to independently deploy, monitor, and iterate on their own models in production Build foundational ML workflows including model registry, environment promotion, rollback, feature access patterns, and inference APIs
Design CI/CD pipelines for automated training, validation, shadow deployment, canary rollout, rollback, and full production promotion workflows
Establish golden-path templates, SDKs, CLIs, and reference implementations to standardize ML system delivery
Contribute to observability standards across model health, latency, feature freshness, data quality, and business KPI monitoring
Partner with Staff MLEs to shape the first-generation architecture of the ML platform

Required Qualifications

Education:

Master’s degree in Computer Science, Engineering, Machine Learning, Software Engineering, or another related STEM field
Bachelor’s degree in a related STEM field with strong equivalent industry depth is also acceptable

Experience:

3+ years of hands-on experience in ML engineering, platform engineering, or production ML systems
Proven experience building production batch and real-time ML systems • Experience working closely with Data Scientists to productionize models and experimentation workflows
Strong experience building reusable tooling, frameworks, or internal developer platforms

Technical Skills:

Strong Python and software engineering fundamentals
Hands-on experience with PyTorch and TensorFlow model deployment workflows
Experience with Docker, Kubernetes, and cloud-native deployment patterns
Strong CI/CD experience using GitHub Actions and cloud-native CI/CD workflows
Experience with MLflow, model registry workflows, and multi-environment promotion
Strong understanding of API-based inference services, async batch scoring, and event-driven pipelines

Soft Skills:

Strong collaboration with Data Scientists and product engineering teams
Builder mindset with focus on developer experience and adoption
Ability to translate infrastructure complexity into simple self-service workflows

Preferred Qualifications:

Experience building internal ML platforms from zero to first scaled adoption
Experience with feature stores and reusable feature access SDKs
Familiarity with Databricks, PySpark, Airflow, or equivalent orchestration tooling
Experience with self-service experimentation and A/B testing tooling
Experience designing platform abstractions that maximize DS autonomy without compromising reliability

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

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More about this job

Responsibilities

You will build reusable self-service tooling and platform capabilities to enable Data Scientists to independently deploy and monitor models in production. Additionally, you will design CI/CD pipelines and establish observability standards to ensure reliable ML system delivery across the organization.

Requirements

The role requires a Bachelor's or Master's degree in a STEM field and at least 3 years of hands-on experience in ML or platform engineering. Candidates must possess strong software engineering fundamentals and experience with production-grade ML systems, including model deployment and infrastructure workflows.

Skills

Python
Machine Learning Engineering
PyTorch
TensorFlow
Docker
Kubernetes
CI/CD
GitHub Actions
MLflow
API Development
Data Science
Platform Engineering
Cloud-native deployment
Model Registry
Feature Stores
System Architecture

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Platform Engineering
Python
PyTorch
TensorFlow
Docker
Kubernetes
CI/CD
GitHub Actions
MLflow
Model Registry
API
Batch Inference
Real-time Serving
Observability
Data Science
Cloud-native
Databricks
PySpark
Airflow
Feature Stores
A/B Testing
Software Engineering
Infrastructure
Developer Experience
Automation
System Architecture
Lottery Industry
Data Analytics
iLottery

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