Jobs in Canada

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Added 3 months ago
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Substation Studies Engineer
Jacobs
Calgary, AB
- $114,000 to $149,700 CAD / year
- Full-time
The Substation Studies Engineer is responsible for performing power system analyses to support the planning, design, operation, and expansion of transmission and distribution substations.…
Added 3 months ago
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Substation Studies Engineer
Jacobs
Ottawa, ON
- $114,000 to $149,700 CAD / year
- Full-time
The Substation Studies Engineer is responsible for performing power system analyses to support the planning, design, operation, and expansion of transmission and distribution substations.…
Added 3 months ago
J
Substation Studies Engineer
Jacobs
Winnipeg, MB
- $114,000 to $149,700 CAD / year
- Full-time
The Substation Studies Engineer is responsible for performing power system analyses to support the planning, design, operation, and expansion of transmission and distribution substations.…
Added 3 months ago
MF
Software Engineer
Magnet Forensics
Canada
- Full-time
NOTE: Candidates must reside in Canada
Added 3 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 2 months ago
Principal Software Engineer (Agentic Integration)
Black Duck Software, Inc.
Calgary, AB
This is a hands-on, senior technical role built for someone who takes initiative. We're looking for an engineer who doesn't wait to be told what to build - who spots gaps in how our…
Added 3 months ago
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Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- Full-time
- Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 2 months ago
Principal Developer Support Engineer - Builder Experience (BX)
Okta
Toronto, ON
Communication: Clear, adaptable communication style capable of shifting from troubleshooting with an engineer to advising a VP on the same day.
Added 3 months ago
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Investigations Engineer - Toronto
GPTZero
Remote, Canada
- $140,000 to $230,000 CAD / year
- Full-time
- Remote
…to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and…
Added 3 months ago
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AI Engineer
PLATO
Remote, Canada
- $75 to $95 CAD / hour
- Contract
- Remote
We are seeking an experienced AI Engineer with 5+ years of experience designing, developing, and deploying enterprise-grade Artificial Intelligence and Generative AI solutions using the…
Added 3 months ago
BC
Senior Software Engineer (Data/Backend)
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,000 CAD / year
- Full-time
- Remote
Strong programming skills in at least two of TypeScript/Node.js, Python, and Go, with experience building and maintaining microservices architectures on Kubernetes.
Added 3 months ago
Data Engineer II, Alexa Audio
Amazon
Vancouver, BC
Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In…
Added 3 months ago
CI
Senior Engineer, TFM, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Extensive experience with programming languages such as Python, C++, or Java, with the ability to write clean, readable, well-documented code.
Added 3 months ago
A
Senior Infrastructure Engineer (Forward Deployed)
ANVIL
Ottawa, ON
- Full-time
We are seeking a versatile Senior Infrastructure Engineer to join our team, focused on delivering mission-critical software to our defence, public safety, and national security customers.…
Added 3 months ago
A
Senior Integration Engineer (Forward Deployed)
ANVIL
Ottawa, ON
- Full-time
We're seeking a versatile Senior Integration Engineer to connect our mission-critical software to the systems our defence, public safety, and national security customers depend on. You'll…
Added 3 months ago
S
Staff Engineer, Computer Vision
Stryker
Burnaby, BC
- $105,300 to $140,450 CAD / year
- Full-time
Experience with Python and/or C++, with CUDA as a plus.
Added 3 months ago
PG
Manager Platform Security
Paymentus Group Inc
Richmond Hill, ON
- Full-time
…across the software development lifecycle and partners closely with Engineering, Product, DevOps, Cloud Infrastructure, Compliance, and Security Operations to identify, prioritize, and…
Added 3 months ago
Staff Engineer - Experimentation Platform
Faire
Toronto, ON · Kitchener, ON
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 3 months ago
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Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
Posséder une expérience en développement logiciel backend ou orienté objet, de préférence avec Java ou un langage similaire (Kotlin, C#, Python ou Go).
Added 3 months ago
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Machine Learning Engineer
Opendoor
Toronto, ON
- Full-time
You'll work directly with researchers, product, and operations to build the automation that scales in the real world. Our systems must be agile, accurate, and resilient in a heterogeneous…
Added 3 months ago
DI
Full Stack Engineer (1877)
Direct IT Recruiting Inc.
Toronto, ON
- $85 to $90 CAD / hour
- Contract
SKILLS: 7+ years Full Stack Developer, .NET, .NET Core, C#, SQL, Python, GitHub Copilot, Cursor, Oracle PL/SQL, T-SQL, Snowflake, AKS, DBT Data Build Tool, Jenkins
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 3 months ago
P
Senior Application Security Engineer
Paymentus
Richmond Hill, ON
- $110,000 to $150,000 CAD / year
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 4 months ago
FI
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Engineer - New Initiatives (Founding Platform Engineer)
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
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…

SCIENTIFIC GAMES

Staff Machine Learning Engineer

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

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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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Jobs in Canada