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Added 3 months ago
P
Senior Application Security Engineer
Paymentus
Richmond Hill, ON
- $110,000 to $150,000 CAD / year
- Full-time
Experience working with CI/CD pipelines, source control systems, artifact repositories, build systems, infrastructure as code, and developer workflow automation.
Added 3 months ago
EG
Business Analyst
Emterra Group
Surrey, BC
- Full-time
We’re seeking an innovative Business Analyst with experience in AI solutions and advanced reporting to help transform our waste management operations. In this role, you’ll lead initiatives…
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
Experience building self-service internal platforms, developer tooling, or ML deployment frameworks
Added 3 months ago
PG
Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
We're hiring a SOC Engineer! Are you an Elastic SIEM expert with a passion for threat detection and automation? We are looking for a seasoned engineer (5+ years experience) to lead our…
Added 3 months ago
C
Senior AI Developer, Agentic AI
CIMA+
Montreal, QC
- Full-time
We're looking for a Senior AI Developer, Agentic AI to design, build, and operate production-grade AI solutions that accelerate productivity, innovation, and decision-making across CIMA+.…
Added 4 months ago
AI Platform Engineer - DevOps
Staffinity Inc
Halifax, NS
…explicitly focused on developing value-add services that integrate with an existing DevOps stack, championing developer experience, and accelerating CI/CD pipeline automation within an…
Added 3 months ago
C
Software Engineer – Margin Technology - Officer
Citi
Mississauga, ON
- Full-time
…is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build…
Added 3 months ago
P
Senior Software Engineer C# .NET
Prophix
Remote, Canada
- Full-time
- Remote
Programming experience in languages or frameworks outside of .NET, such as Java or Python.
Added 3 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience delivering digital services in agile, product-oriented environments and familiarity with languages such as Python, Java, .NET, or Node.js.
Added 2 months ago
PC
Spécialiste DevOps / DevOps Specialist
Portage CyberTech
Gatineau, QC
- Full-time
Langages de script et d’automatisation tels que Python, Bash, PowerShell ou équivalents.
Added 3 months ago
AA
Staff Software Developer, Capital
ACV Auctions
Toronto, Ontario
- Full-time
We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In this role, you will design, develop, and maintain software applications that solve…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 3 months ago
CF
Director, Business Analytics and Insights
CI Financial
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 3 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Create and enhance automation scripts (PowerShell, Python, etc.) to improve efficiency.
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computing
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
…building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that…
Added 3 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver…
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Design and implement secure, resilient, and compliant AI platforms that integrate with existing enterprise systems, ensuring alignment with risk, ethics, fairness, and regulatory frameworks
Added 2 months ago
Data Analyst
Scotiabank
Toronto, ON
This individual must be highly analytical, proactive, detail-oriented, and capable of working effectively with stakeholders across Finance, Operations, Technology, and Vendor teams.…
Added 3 months ago
C
Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
· Experience with QA automation frameworks and strategies for large-scale data processing.
Added 4 months ago
SI
St Staff R&D Engineer
Synopsys Inc
Waterloo, Ontario
- Full-time
Solid experience with Python for scripting, automation, and backend services
Added 3 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
Added 2 months ago
Sr. Specialist, AI Solutions Developer
L3Harris Technologies
Hamilton, ON · Waterdown, ON
Design, develop, test, and deploy AI-powered applications, copilots, automation solutions, and intelligent workflows using enterprise-approved platforms and frameworks.
Added 4 months ago
CG
Senior Specialist, Cloud and Infrastructure
Centerra Gold Inc.
Vancouver, British Columbia
- Full-time
This role combines deep technical expertise with operational excellence, automation, and continuous improvement. You will work closely with internal stakeholders and strategic technology…
Added 3 months ago
F
Principal Systems Engineer- Enterprise AI (Design & Implementation)
Flatgigs
Remote, Canada
- Full-time
- Remote
Strong hands-on software development experience with Python, Go, Rust (language agnostic)

SCIENTIFIC GAMES

Staff Machine Learning Engineer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of hands-on experience in ML engineering, platform engineering, or large-scale production ML systems
Posting language: English
Posted: Jul 17, 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 Staff Machine Learning Engineer to define and build the machine learning platform architecture for the organization. This team will create the enabling layer that allows Data Scientists to self-serve deployment, experimentation, batch scoring, online inference, monitoring, and safe rollout workflows.

This is a platform creation role, not a platform operations gatekeeper role. The success metric is not how many deployments the team executes directly, but how effectively the platform allows domain Data Scientists to deploy independently through highly reliable self-service workflows. The initial Staff MLE hires will establish the architectural foundations, engineering standards, reusable tooling strategy, and platform roadmap that the Senior MLE team will scale.

This role is based out of Toronto.

Qualifications

Key Responsibilities

Define the target architecture and phased roadmap for the organization’s first ML platform
Build self-service deployment frameworks enabling Data Scientists to productionize models independently
Architect reusable capabilities for model registry, deployment orchestration, feature retrieval, inference routing, observability, and rollback
Define golden paths for batch inference, real-time serving, shadow deployment, canary rollout, A/B testing, and full production release
Establish platform engineering standards across SDKs, templates, CI/CD, testing, infrastructure-as-code, and developer workflows
Design platform primitives that support recommendation systems, forecasting, optimization, and experimentation use cases
Mentor Senior MLEs and raise software engineering quality, architecture rigor, and platform thinking across the team
Partner with Data Science leadership to ensure the platform accelerates DS velocity rather than introducing process friction

Required Qualifications

Education

Master’s degree in Computer Science, Engineering, Distributed Systems, Machine Learning, or another related STEM field
Bachelor’s degree with exceptional relevant platform engineering depth is acceptable

Experience

5+ years of hands-on experience in ML engineering, platform engineering, or large-scale production ML systems
Proven experience designing platform architecture and reusable ML tooling standards
Experience building self-service internal platforms, developer tooling, or ML deployment frameworks
Strong experience enabling applied Data Science teams through reusable infrastructure rather than centralized service models
Experience leading architecture decisions and mentoring engineers

Technical Skills

Deep expertise in ML systems architecture across batch and low-latency real-time serving
Strong hands-on experience with Docker, Kubernetes, infrastructure automation, and cloud-native ML workloads
Strong expertise in model lifecycle tooling including MLFlow, registries, validation gates, and promotion workflows
Advanced experience designing CI/CD, canary, rollback, and deployment safety systems for ML
Experience with feature stores, online/offline feature parity, and low-latency feature retrieval
Strong Python engineering standards and ability to write production-grade frameworks and SDKs

Leadership

Demonstrated ability to define technical direction for platform teams
Strong mentorship track record for Senior and mid-level MLEs
Strong cross-functional influence with DS, data platform, and product engineering teams
Bias toward building self-service systems that maximize organizational leverage

Preferred Qualifications

Experience building greenfield ML platforms from zero to scaled enterprise adoption
Experience supporting self-service recommendation, ranking, forecasting, and optimization systems
Familiarity with Databricks, Azure ML, SageMaker, Vertex AI, or equivalent ML platforms
Experience building internal developer portals, CLIs, or workflow SDKs
Strong platform product thinking focused on usability, adoption, and DS productivit

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

The Staff Machine Learning Engineer will define and build the machine learning platform architecture for the organization, enabling Data Scientists to deploy models independently. This role focuses on creating a self-service platform rather than managing operations.

Requirements

Candidates should have a Master's degree in a relevant field and at least 5 years of hands-on experience in ML engineering or platform engineering. Strong technical skills in ML systems architecture and experience with self-service platforms are essential.

Skills

Machine Learning
Platform Engineering
Data Science
Docker
Kubernetes
Cloud-native
CI/CD
Python
Model Lifecycle
Feature Stores
Observability
Deployment Safety
Mentorship
Architecture
Infrastructure Automation
Recommendation Systems

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Platform Engineering
Data Science
Architecture
Self-service
Deployment
Model Registry
Feature Retrieval
Observability
Rollback
Batch Inference
Real-time Serving
CI/CD
Python
Docker
Kubernetes
Cloud-native
MLFlow
Databricks
Azure ML
SageMaker
Vertex AI
Recommendation Systems
Forecasting
Optimization
Experimentation
Developer Portals
SDKs
Infrastructure Automation
Mentorship

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