Time since we first saw it
Day 40
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Software Engineer – MLOPS
Montreal, QC, Canada
Live, first seen by us 40 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain application services and APIs for data and model sharing
Build and operate large-scale data processing pipelines
Deploy and manage scalable cloud infrastructures
Collaborate with data and ML specialists to bring models into production
From the employer’s posting
Design, develop, and maintain application services and APIs for data and model sharing
Build and operate large scale data processing pipelines
Deploy and manage scalable cloud infrastructures
Collaborate closely with data and machine learning specialists to bring models into production
What you’ll bring
All qualificationsCore experience
- Experience designing and consuming web service APIs
- Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform)
- Experience deploying predictive models into production
Qualification wording
Experience designing and consuming web service APIs
Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform)
Experience deploying predictive models into production
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 202640 days ago
- Recorded sightings
- 234
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ubisoft is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
- 57% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Rust
- AWS
- Kubernetes
- Terraform
Where the posting names them
What you bring to the team - Strong skills in software development or data engineering, using Python or Rust - Experience designing and consuming web service APIs
- Experience designing and consuming web service APIs - Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform) - Ability to connect high level vision with technical details
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players.
You will join the Player Data domain within Ubisoft’s Data Office, whose mission is to use data to support players throughout their journey in a safe and respectful environment.
This role combines applied research and software engineering, with a strong focus on production deployment.
What you’ll do
- Lead end to end projects, from design to real world usage
- Design, develop, and maintain application services and APIs for data and model sharing
- Build and operate large scale data processing pipelines
- Deploy and manage scalable cloud infrastructures
- Improve platform quality and reliability
- Contribute to exploratory projects testing new data and machine learning approaches
- Write clean, efficient, and maintainable code designed for scale
- Apply modern deployment and monitoring practices for machine learning systems
- Collaborate closely with data and machine learning specialists to bring models into production
Qualifications
What you bring to the team
- Strong skills in software development or data engineering, using Python or Rust
- Experience designing and consuming web service APIs
- Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform)
- Ability to connect high level vision with technical details
- Collaborative mindset with clear and respectful communication
- Working knowledge of machine learning, including advanced models
- Experience deploying predictive models into production
- Familiarity with large scale data processing tools or platform operations, an asset
Additional Information
- Your CV highlighting relevant skills and experiences
- Links to projects, code repositories, or systems you have contributed to
Company Description
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Montreal, QC, Canada
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.