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Added 2 months ago
XR
Senior AI - Computer Vision Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to join the team and help develop the next generation of perception…
Added 2 months ago
A
Senior Digital Marketing Specialist – Nuclear
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Knowledge of customer journeys, campaign measurement, and digital analytics.
Added 2 months ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
…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,…
Added 2 months ago
M
Sr. Network Systems Engineer, Firewall
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a Senior Network Security Engineer to help design, secure, and evolve our global enterprise network infrastructure. This role serves as a strategic technical leader…
Added 2 months ago
M
Sr. Network Systems Engineer, Firewall
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a Senior Network Security Engineer to lead the design, implementation, and governance of secure enterprise network infrastructure across cloud, data center, and hybrid…
Added 1 month ago
C
Senior Software Engineer, Java and AI Development - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated and skilled Senior Software Engineer to join our innovative team, blending backend development expertise with emerging AI technologies.
Added 2 months ago
BS
Analyste, Habilitation & Gouvernance en IA/AI Enablement & Governance Analyst
Browns Shoes
Montreal, QC
- Full-time
Added 2 months ago
Software Dev Engineer II, Oracle Database@AWS
Amazon
Vancouver, BC
Added 2 months ago
FC
Data Analyst and Reporting Tools Developer
Fidelity Canada
Mississauga, ON
- Full-time
Maintain and re-engineer existing Business Intelligence, Access and Excel based reports
Added 2 months ago
B
Software Engineer - Observability
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
Added 2 months ago
B&
Project Engineering Manager (REG) - Industrial Water
Black & Veatch
Markham, ON
- Full-time
…clients to align people, processes, technologies, and data analytics to modernize water infrastructure, optimize asset use, meet performance goals, reduce costs, and mitigate…
Added 2 months ago
VG
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
Added 2 months ago
VG
[VO2 Canada] - Ingénieur.e Devops – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
Added 2 months ago
EB
Staff Engineer (AI & Engineering)
EQ Bank
Toronto, ON
- Full-time
We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader…
Added 2 months ago
Intern - Treasury Analyst
EQ Bank | Canada's Challenger Bank
Toronto, ON
Optimize/re-engineer processes to simplify operations while upgrading outputs.
Added 2 months ago
E
Ingénieur analytique d’entreprise
EXFO
Montreal, QC · Quebec, QC
- Full-time
Added 2 months ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Quality Engineer, you will design, build and implement test automation to ensure quality delivery in support of value-add technology solutions and products. You will proactively…
Added 1 month ago
Principal Software Engineer – Developer Platform (Auth0)
Okta
Toronto, ON
We're hiring a Principal Engineer (P5) to serve as the technical leader and compass for the Developer Platform team. You'll work across the breadth of the platform, tackling the highly…
Added 2 months ago
K
Geotechnical Engineer, Technical Assurance (AI Systems)
KorrAI
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
We are hiring an engineer with closure and tailings experience, not a software developer. The job is to decide whether TRAIL's answers would hold up if an Engineer of Record put them in…
Added 2 months ago
A|
Forward-Deployed Engineer
arosplatforms | AI Consulting & Services
Toronto, ON
- Full-time
Added 2 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising…
Added 2 months ago
P
Back End Developer
PartsAvatar.ca
Montreal, QC
- Full-time
We are seeking a talented Software Engineer to join our dynamic team at PartsAvatar. In this role, you will be instrumental in developing and enhancing our innovative online platform,…
Added 2 months ago
AT
Hardware Engineer
Arlo Technologies
Richmond, BC · CA - British Columbia - Richmond
- Full-time
…without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a…
Added 2 months ago
AI Engineer
First West
Langley (District), BC · Langley, BC
We are currently seeking an AI Engineer to join our team.
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model…

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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