Jobs in Canada

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Added 3 months ago
Q
Staff Engineer, Physical Design/Implementation
Qualcomm
Toronto, ON
- Full-time
Strong scripting and automation skills (Python, Tcl)
Added 3 months ago
LI
Lead Engineer
LanceSoft, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
…engagement, and continuous improvement mindset, with a focus on automation, operational stability, data integrity, and business…
Added 3 months ago
P
GTM Engineer
Paires
Remote, Canada
- $130,000 to $220,000 CAD / year
- Full-time
- Remote
We are hiring a GTM Engineer to own top of funnel: the data and automation engine that finds the right people at the right moment and turns them into meetings.
Added 3 months ago
T
Senior Backend / Platform Engineer
TravelAI
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
Own deployment automation across multiple environments, including deployments into customer AWS accounts
Added 3 months ago
WC
(CAN) Quality Engineer III
Walmart Canada
Mississauga, ON
- Full-time
3+ years of SQL expertise, 2+years of Python experience
Added 3 months ago
CD
Ingénieur en conception de micrologiciel - Firmware Design Engineer
Cadence Design Systems
Montreal, QC
- Full-time
…innovation, not only as a world leader in electronic design automation (EDA) for over 25 years, but also as a driving force in the advancement of intellectual property…
Added 3 months ago
CA
Senior Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
As a Senior Data Engineer, you will design, build, and optimize reliable data pipelines, integrations, APIs, and data models across Cooke’s modern data ecosystem. You will work with limited…
Added 3 months ago
CA
Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
…processing, distribution, and corporate functions. As a Data Engineer, you will develop and optimize data integration solutions, implement automation, monitor data quality, and collaborate…
Added 3 months ago
R
AI Solutions Architect (Senior and Principal)
RAVL
Toronto, ON
- Full-time
We're looking for an experienced AI Solutions Engineer to help our financial services clients turn ambitious AI ideas into secure, scalable, production-ready solutions.
Added 3 months ago
R
AI Platform Engineer (Senior / Principal)
RAVL
Toronto, ON
- Full-time
We're looking for a Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations.
Added 3 months ago
T
Robotics Manufacturing Engineer, Geartrain Assembly & Test, Optimus
Tesla
Langley (District), BC · Langley, BC
- Full-time
The Optimus actuator team is seeking a skilled and highly motivated Gearbox Manufacturing Engineer to own assembly process development, equipment/automation, and test systems for precision…
Added 3 months ago
N
Member of Technical Staff 2- Service Provider
Nutanix
Vancouver, BC
- $100,800 to $151,200 CAD / year
- Full-time
…including cloud infrastructure engineers, full stack developers, automation specialists, and more. We hope to learn from you…
Added 3 months ago
N
Member of Technical Staff 2- Service Provider
Nutanix
Vancouver, BC
- $100,800 to $151,200 CAD / year
- Full-time
…including cloud infrastructure engineers, full stack developers, automation specialists, and more. We hope to learn from you…
Added 4 months ago
V
Senior Software Engineer (Python)
Varonis
Vancouver, BC
- Full-time
Expert‑level proficiency in Python, including building distributed systems, backend services, and automation tooling.
Added 3 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The Data Accelerator (DACC) team at AMD is seeking a Design Verification Engineer to join our IP verification team. This role is an excellent opportunity for an early-career engineer to…
Added 3 months ago
SC
AI Process Automation Engineer
Staples Canada
Richmond Hill, ON
- Full-time
We are seeking a Process Automation Engineer who can analyze existing business processes, design improved future-state workflows and implement automation solutions using low-code platforms.
Added 3 months ago
P
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
Data Engineer II, Alexa Audio
Amazon
Vancouver, BC
As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies.…
Added 3 months ago
CI
Senior Engineer, TFM, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Senior Engineer, Total Fund Management Technology, you will design, build, test, and support technology solutions that enable portfolio construction, monitoring, analytics, and Total…
Added 3 months ago
F
Forward Deployed Engineer
Feathery
Remote, Canada
- Full-time
- Remote
We're hiring a Forward Deployed Engineer to work directly with enterprise customers to design, implement, and scale workflows on the Feathery platform. This role is ideal for someone who…
Added 3 months ago
O
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
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
Machine Learning Engineer – (Computer Vision)
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 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…
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…

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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Work requirements

Jobs in Canada