Find work in Canada.

318,784 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
T
Staff Software Engineer
Twilio
Remote, Canada
- Full-time
- Remote
12+ years of experience designing and developing highly available, high scale, secure, mission-critical cloud native enterprise distributed systems.
Added 2 hours ago
PS
Senior Software Developer – Backend Services
PDF Solutions
Vancouver, BC
- Full-time
The ideal candidate will have a strong background in backend architecture, cloud-native services, APIs, and enterprise-scale software development. Experience in the semiconductor industry…
Added 2 hours ago
K
Enterprise Architect, AI Engineering – Security & Compliance
KPMG
Toronto, ON · ON
- Full-time
Experience with Microsoft Azure and cloud-native architecture, preferably including Azure networking, Entra ID, Key Vault, Application Gateway/WAF, Azure Front Door, Azure Container Apps or…
Added 12 hours ago
SI
Java Developer
Spait Infotech
Canada
- Full-time
Experience with cloud-native application development.
Added 14 hours ago
XI
Senior Engineering Manager - ERP
Xplore Inc
Markham, ON
- Full-time
Strong understanding of Cloud Native principles and frameworks
Added 18 hours ago
MD
Information Security Supervisor - SAUS
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Added 18 hours ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…development while helping shape the technical direction of the team's cloud-native technology…
Added 19 hours ago
U
Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
…PDFs, spreadsheets, email and legacy software. We build AI-native software that helps insurers, reinsurers, MGAs and brokers turn complex, unstructured insurance data into structured…
Added 22 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Join the Windows Cloud Experiences team to build core Windows client technologies that power secure, high-performance remote desktop experiences at global scale. As part of the Windows +…
Added 23 hours ago
NB
Chief Backend Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Chief Backend Developer within the Platforms and Automation team at National Bank means acting as an expert in the design, development, and evolution of strategic backend…
Added 23 hours ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
…and delivery of technology data from infrastructure, cyber, cloud, AI, and enterprise systems into a Databricks-based data…
Added 1 day ago
B
Sr. Application Developer - (Java / AWS / Payment Systems / Leadership)
BMO
Toronto, ON · BMOPLACE
- Full-time
Develop cloud-native services using Node.js and serverless patterns where appropriate.
Added 1 day ago
B
Cloud Application Developer - (AWS / Banking/ Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
Develops scalable and accessible business cloud applications. Focuses on the technical design, development, enhancement, testing, debugging and maintenance of Cloud applications and…
Added 1 day ago
M
Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
…In this role, you'll design, develop, and support scalable, cloud-native applications that power critical business capabilities across trading, analytics, and risk…
Added 1 day ago
M
Agentic Engineer, Innovation
Manulife
Montreal, QC
- Full-time
Experience with LLMs, RAG, vector search, embedding models, agent frameworks, API integration, cloud-native development, CI/CD, and MLOps/LLMOps practices.
Added 1 day ago
EM
Product Specialist, evertz.io
Evertz Microsystems Limited
Burlington, ON
- Full-time
Evertz.io is redefining how media organizations manage and distribute content in the cloud. Our platform delivers scalable, flexible, and cost-efficient solutions for both file-based and…
Added 1 day ago
V
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
- Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 1 day ago
E
Senior Analyst, Data Engineering & AI
Experis
Canada
- Contract
Build and maintain data pipelines, transformations, and data products using Microsoft Fabric, Python, SQL, and cloud-native services.
Added 1 day ago
T
Senior Software Engineer (L3)
Twilio
Remote, Canada
- Full-time
- Remote
…execution to transition legacy systems into modern, scalable cloud-native…
Added 1 day ago
WI
IT Automation Architect
WSP in Canada
Moncton, NB
- Full-time
Knowledge of automation platforms, scripting technologies, cloud-native automation capabilities, orchestration frameworks, CI/CD co
Added 1 day ago
WI
IT Automation Architect
WSP in Canada
Winnipeg, MB
- Full-time
Knowledge of automation platforms, scripting technologies, cloud-native automation capabilities, orchestration frameworks, CI/CD co
Added 1 day ago
WI
IT Automation Architect
WSP in Canada
Toronto, ON
- Full-time
Knowledge of automation platforms, scripting technologies, cloud-native automation capabilities, orchestration frameworks, CI/CD co
Added 1 day ago
WI
IT Automation Architect
WSP in Canada
Montreal, QC
- Full-time
Knowledge of automation platforms, scripting technologies, cloud-native automation capabilities, orchestration frameworks, CI/CD co
Added 1 day ago
WI
IT Automation Architect
WSP in Canada
Halifax, NS
- Full-time
Knowledge of automation platforms, scripting technologies, cloud-native automation capabilities, orchestration frameworks, CI/CD co
Added 1 day ago
A
Cloud Software Engineer
Actalent
Ottawa, ON · Kanata, ON
- $46 to $65 CAD / hour
- Contract
The Software Developer will support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). This enterprise platform integrates vehicle telemetry,…

Royal Bank of Canada

Lead ML Platform Engineer

Calgary, AB, T2P 1C9, Canada

Full-time

This date has passed. Check with the employer before applying.

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: Sep 24, 2026
Experience: 5+ years of experience designing and implementing distributed systems and Machine Learning systems;
Posting language: English
Posted: Sep 16, 2026

Original job description

Job Description

What's the opportunity?

We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and automation tools (MLOps and DevOps). This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Your responsibilities include:

Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications;
Designing and implementing best practices and standards for data and machine learning pipelines across the organization;
Collaborating with engineers, and machine learning researchers to automate code analysis, build, integration and deployment of ML applications;
Supporting applications and projects with infrastructure design decision, and monitoring solution;
Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies.

You're our ideal candidate if you have:

5+ years of experience designing and implementing distributed systems and Machine Learning systems;
Working with building and maintaining DevOps pipeline such as Jenkins, GitHub actions;
Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow;
In-depth knowledge of various stages of the machine learning application deployment process;
Experience with building tools and applications to automate various infrastructure and DevOps tasks;
Proficiency with programming languages such as Python, Bash, or JavaScript;
Solid understanding of the UNIX operating system;
Implementing monitoring solutions to identify system bottlenecks and production issues;
Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure;
Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or similar.

What's in it for you?

Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#TECHPJ

#Ll-POST

Job Skills

Apache Airflow, Apache Spark, Application Development, Application Maintenance, Applications Architecture, Applications Programming, Cloud Computing, Code Development, Detail-Oriented, Group Problem Solving, Jupyter Notebooks, Python (Programming Language), Red Hat OpenShift, Software Development Life Cycle (SDLC) Methodologies, Technical Design Documentation, Unit Testing

Additional Job Details

Address:

335 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-10

Application Deadline:

2026-09-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

You will design, build, and optimize machine learning deployment tools and automation systems while establishing standards for data and ML pipelines. Additionally, you will collaborate with researchers to automate code analysis and support infrastructure design for scalable cloud and on-premise systems.

Requirements

The ideal candidate has 5+ years of experience in distributed systems and machine learning infrastructure, including proficiency in DevOps pipelines and MLOps orchestration tools. You must possess strong programming skills in Python or Bash and have hands-on experience with cloud environments like AWS or Azure.

Skills

Machine learning infrastructure
MLOps
DevOps
Python
Bash
JavaScript
Jenkins
GitHub Actions
AirFlow
KubeFlow
Dagster
Flyte
MetaFlow
AWS
Azure
PyTorch

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
DevOps
Infrastructure
Automation
Python
Bash
JavaScript
Jenkins
GitHub Actions
AirFlow
KubeFlow
Dagster
Flyte
MetaFlow
AWS
Azure
PyTorch
TensorFlow
Distributed Systems
Cloud Computing
Monitoring
UNIX
Data Pipelines
Computer Vision
Reinforcement Learning
Unsupervised Learning
Hybrid Environments
Financial Technology

Report this job