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Added 1 month ago
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AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
- Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation
Added 1 month ago
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Analyste de la Valeur Ajoutée Client / Customer Value-Added Analyst
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Analyser les performances à l'aide d'outils statistiques (Skywise, Power BI, Python) pour identifier les causes profondes des écarts de CVAT et d'efficacité;
Added 1 month ago
A
Leader Amélioration de la Donnée / Data Improvement Lead
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Vous maîtrisez les outils d'analyse et de visualisation de données tels que Power BI, Skywise et Python;
Added 1 month ago
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Staff Systems Engineer, Synthetic Aperture Radar (SAR) Missions
MDA
Richmond, BC
- Full-time
Ability and knowledge to work with MATLAB, Python;
Added 1 month ago
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Software Engineer Intern (Winter 2027)
Zip
Remote, Canada
- Internship
- Remote
Experience with web applications and API development. At Zip, our stack includes Python, Javascript/TypeScript, React, and GraphQL
Added 1 month ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 1 month ago
MF
DevOps and DataOps Specialist
Moment Factory
Montreal, QC
- Full-time
Proficiency in Infrastructure as Code (IaC) via Terraform, Ansible, Python, and PowerShell.
Added 1 month ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the…
Added 1 month ago
YU
Teaching and Research Computing Specialist
York University
Toronto, ON
- Contract
Experience with web development technologies (e.g., PHP, Python, Node.js, or similar).
Added 1 month ago
PI
Data & AI Solution Architect - Data Modelling & Conversational AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
Strong hands-on experience with Databricks, dbt, Unity Catalog, SQL, and Python.
Added 1 month ago
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Senior Forward-DeploData Scientist/ Scientifique des données principal(e) déployé(e) (niveau Senior, Forward-Deployed)
NBCUniversal
Montreal, QC
- Full-time
Added 1 month ago
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Senior Software Engineer, Houdini
Eyeline
Vancouver, BC
- Full-time
Write high quality Python code that is easy to maintain and is well-tested
Added 1 month ago
SS
RF Design Verification Co-Op
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
Familiarity with scripting or programming languages such as Python, MATLAB, or LabVIEW for test automation and data analysis is an asset.
Added 1 month ago
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Senior Research Engineer – Machine Learning, Computer Vision
mtl.ai
Montreal, QC
- Full-time
The Tech Stack: Expert-level python, CUDA/GLSL, C++, and Multi-view Geometry.
Added 1 month ago
DC
IT Junior Systems Administrator
Delta Controls
Surrey, BC
- Full-time
Knowledge of scripting technologies – PowerShell, PowerCLI, Bash, Python.
Added 2 months ago
HP
Software Developer - Data and AI (12 month contract)
Hammond Power Solutions
Guelph, ON
- Full-time
…transformer technology. We currently have an opening for a Software Developer, Data and AI– 12 month contract, come grow with…
Added 1 month ago
UH
Student, Admin Support (Research)
University Health Network
Toronto, ON
- Contract
Demonstrated programming skills in Python and PyTorch.
Added 1 month ago
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Finance Intelligence Analyst (6-Month Contract)
Atlas Corp.
Vancouver, BC
- $70,000 to $90,000 CAD / year
Proficiency in Python for data analysis and automation; experience with libraries such as pandas, numpy is an asset. Knowledge of scripting for financial modeling, process automation, or…
Added 1 month ago
IT Business Operations Manager
Jeld-Wen Inc.
Woodbridge, ON
Advanced programming across major languages (C#, Java, Python, Progress 4GL, VB, SQL) to develop, enhance and maintain plant automation, integrations and custom applications
Added 4 months ago
S
Forward Deployment Engineer
SymphonyAI
UNAVAILABLE, Ontario
- Full-time
➕ Coding experience in one of the main modern languages: python, java, etc…
Added 1 month ago
SS
Service Operations Specialist | Spécialiste en opérations de services
SITA Switzerland Sarl
Montreal, QC
- Full-time
Basic scripting (Bash or Python) skills and ability to learn more
Added 1 month ago
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Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 1 month ago
CA
AI Engineer
Cambio AI Inc.
Remote, Canada
- Full-time
- Remote
Experienced in Python web development (Django is a bonus)
Added 1 month ago
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Senior Technical Support Engineer (T3)
Rewind
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Proficiency in at least one scripting or programming language (Python, Ruby, JavaScript, or similar)
Added 4 months ago
IE
Software Development Engineer in Test
Intercontinental Exchange Holdings, Inc.
Calgary, AB
- Full-time
Work with industry leading test automation tools: Java, Junit, Cucumber, Cypress utilizing JavaScript, Selenium utilizing Java and Python; Custom Python Frameworks; API testing tools

SCIENTIFIC GAMES

Senior Machine Learning Engineer

Toronto, ON, 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

Education

Required Qualifications

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

Build self-service machine learning tooling and golden paths to enable Data Scientists to independently deploy models. Establish foundational ML infrastructure, including model registries, CI/CD pipelines, and observability standards.

Requirements

Requires a Master's or Bachelor's degree in a STEM field and 3+ years of experience in ML or platform engineering. Proficiency in Python, cloud-native deployment patterns, and productionizing ML workflows is essential.

Skills

Python
PyTorch
TensorFlow
Docker
Kubernetes
GitHub Actions
MLflow
CI/CD
API Design
Model Deployment
Batch Inference
Real-time Serving
ML Infrastructure
Platform Engineering
Software Engineering
Cloud-native Deployment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Python
PyTorch
TensorFlow
Docker
Kubernetes
GitHub Actions
MLflow
CI/CD
Model Registry
Batch Inference
Real-time Serving
API
Event-driven Pipelines
Databricks
PySpark
Airflow
Feature Store
A/B Testing
Observability
Platform Engineering
Software Engineering
STEM
Cloud-native
Canary Rollout
Shadow Deployment
Inference APIs
Developer Experience
ML Infrastructure

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