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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
proficiency in scripting languages such as Python, Bash, Java, JavaScript,
Added 1 month ago
VA
Member of Technical Staff - Simulation
Veeda AI
Remote, Canada
- Full-time
- Remote
Strong C++ and Python skills and experience writing GPU code in CUDA, NVIDIA Warp, or an equivalent data-parallel framework.
Added 1 month ago
VA
Member of Technical Staff - ML Operations
Veeda AI
Remote, Canada
- Full-time
- Remote
Proficiency in at least one scripting (Python or Bash) and one compiled (Java, Rust, or Go) languages.
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
XR
Senior AI - Computer Vision Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and expert knowledge of PyTorch.
Added 1 month ago
OT
Lead Cloud Applications Administrator
Open Text Corporation
Mississauga, ON
- Other
The primary product lines that the Cloud Applications Developer supports are PPM.
Added 1 month ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
…infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the…
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
Senior Systems Programmer - 7 Days to Die | Programmeur·euse systèmes sénior·e - 7 Days to Die
Behaviour Interactive
Montreal, QC
4+ years of professional experience with C# and experience with additional programming languages such as C++, Python, etc.
Added 1 month ago
Full Stack Engineer – AI Character Platform
Hasbro
Montreal, QC
Proficiency with modern frontend frameworks (React or equivalent) and backend technologies (Node.js and/or Python).
Added 1 month ago
O
Data Engineering Developer
OSEDEA
Montreal, QC
- Full-time
Added 1 month ago
DI
Senior Data Specialist, Enterprise Fraud Analytics
Definity Insurance Company
Toronto, ON
- Full-time
Work closely with SIU stakeholders to understand emerging fraud schemes. Conduct in-depth EDA using SQL and Python to assess data feasibility and establish baseline metrics. Design and…
Added 1 month ago
S
Senior Ethical Hacker
Stantec
Toronto, ON
- Full-time
Engineer custom Python, Terraform, and Ansible extensions to enable specialized security and
Added 2 months ago
B
Software Engineer - Observability
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON
- Full-time
Advanced analytical skills with expert proficiency in SQL and experience analyzing large-scale site datasets. Proficient in Python for analysis and statistical work.
Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 2 months ago
VG
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
Added 2 months ago
KS
Quality Assurance Team Lead
Kumaran Systems
Toronto, ON
- Full-time
…along with strong automation expertise using Playwright with…
Added 2 months ago
DO
PhD Scholarship in Middle Eastern Archaeology at the Department of Cross-Cultural and Regional Studies, Faculty of Humanities, University of Copenhagen (UCPH)
Department of Pharmacy, University of Copenhagen
Welland, ON · Niagara College, ON
- Full-time
…software for quantitative and spatial data analysis (e.g. R, Python, or GIS) is desirable. As the project draws on geological, material culture, and computational approaches, the successful…
Added 2 months ago
AC
Senior Pricing Developer
Aviva Canada
Toronto, ON
- Full-time
We are looking for a software developer who enjoys building well-designed applications and takes ownership of delivering maintainable solutions.
Added 2 months ago
AC
Senior Pricing Developer
Aviva Canada
Markham, ON
- Full-time
We are looking for a software developer who enjoys building well-designed applications and takes ownership of delivering maintainable solutions.
Added 2 months ago
AC
Senior Pricing Developer
Aviva Canada
Oakville, ON
- Full-time
We are looking for a software developer who enjoys building well-designed applications and takes ownership of delivering maintainable solutions.
Added 2 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
Added 2 months 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 2 months 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..)

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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