Greater Montreal Area, Qc Level python developer Jobs – 130 Openings This Week

Senior Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Computer Science
- Engineering
- Master's degree
12d
[VO2 Canada] Développeuse.eur - Fullstack Shopify - Developer
VO2 Group —Montréal, QC
- Hybrid work
- English
- Analysis skills
- JavaScript
- Dental care
- Vision care
Quick apply
Sr Principal Developer
Aspen Technology —Montréal, QC
- Full-time
- Azure
- Computer Science
- Schematics
Développeur(e) embarqué - Embedded Developer
Vention —Montréal, QC
- Hybrid work
- Computer Science
- Schematics
- Engineering
- Work from home
8d
Enterprise Architect
CGI —Montréal, QC
- $115,000–$165,000 a year
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Développeur SIG (niveau staff)
NBCUniversal —Montréal, QC
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
Gestionnaire, Développement de logiciels de simulation / Manager, Software Development - Simulation
Vention —Montréal, QC
- Hybrid work
- Computer science
- Computer Science
- Engineering
- Work from home
8d
Camera Driver Developer
IMMERVISION —Montréal, QC
- Part-time
- Computer Science
- Engineering
- Windows
Senior AxiomSL Developer
Luxoft —Montréal, QC
- $125,000–$180,000 a year
- DevOps
- English
- SQL
Staff Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Azure
- Computer Science
- Engineering
12d
Data Analyst Developer
Vacances Air Canada / Air Canada Vacations —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- SQL
- Plumbing
- Dental care
Quick apply
8d
Développeur(-euse) sénior, logiciel / Senior Software Developer
Vention —Montréal, QC
- Hybrid work
- System design
- English
- Continuous improvement
- Work from home
8d
Software Developer - Programmer Analyst
ABB Electrification Canada Inc. —Dorval, QC
- Full-time
- Hybrid work
- Bilingual
- Oracle
- Computer Science
Quick apply
16h
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- DevOps
- English
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal —Montréal, QC
- Overtime
- Hybrid work
- System design
- C++
- Travel
Software Engineering Lead – Data & Analytics Platforms (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Java
Développeur(-euse) principal(e) de produits, Fullstack / Senior Product Developer
Xona Space Systems —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- SQL
Performance Engineer
Devoted Studios —Montréal, QC
- Full-time
- Remote
- C++
- Python
Quick apply
14d
Spécialiste en tests logiciels / Software Test Specialist - Access Control
Genetec —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
- Tuition reimbursement
Quick apply
Application Developer - Snowflake
Capgemini —Montréal, QC
- Azure
- Databases
- SQL
- Disability insurance
- Dental care

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Senior Machine Learning Engineer

Scientific Games -
Montréal, QC

Apply Now

Job details

Full-time
12 days ago

Qualifications

TensorFlow
CI/CD
Computer Science
Software Engineering
Kubernetes
PyTorch
Engineering
Master's degree
Docker
Bachelor's
GitHub
APIs
A/B testing
Python

Full 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 role is based out of Toronto.

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

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 .

Apply Now

Refine Your Search

level python developer jobs in greater montreal area, qc

Senior Machine Learning Engineer

[VO2 Canada] Développeuse.eur - Fullstack Shopify - Developer

Sr Principal Developer

Développeur(e) embarqué - Embedded Developer

Enterprise Architect

Développeur SIG (niveau staff)

Gestionnaire, Développement de logiciels de simulation / Manager, Software Development - Simulation

Camera Driver Developer

Senior AxiomSL Developer

Staff Machine Learning Engineer

Data Analyst Developer

Développeur(-euse) sénior, logiciel / Senior Software Developer

Software Developer - Programmer Analyst

Tech Lead - Commodities Technology (Hybrid)

Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC

Software Engineering Lead – Data & Analytics Platforms (Hybrid)

Développeur(-euse) principal(e) de produits, Fullstack / Senior Product Developer

Performance Engineer

Spécialiste en tests logiciels / Software Test Specialist - Access Control

Application Developer - Snowflake

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