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aimlroles

Lead ML Platform Engineer

RBC Open · verified Oct 12, 2026
Calgary Full-time Senior ML Platform & Ops

At a glance

Senior ML Platform & Ops role at RBC. Calgary · full-time · no salary stated · we estimate CA$146,250–CA$204,675 across Canada.

Estimated pay

RBC has not published a salary for this role. The figure below is our estimate, not theirs.

CA$146,250 – CA$204,675
What the middle half of senior ML platform & ops roles in Canada paid, among postings that did state a salary.
Worked out from 22 postings that stated pay, median CA$157,963. Last updated Oct 28, 2026.
RoleML Platform & Ops
SenioritySenior
LocationCalgary
EmploymentFull-time
PostedSep 28, 2026 · 4w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and improve deployment tooling and automation for the organization’s data and machine-learning applications
  • Set shared standards for data and ML pipelines across the organization
  • Automate code checks, builds, integration and releases alongside engineers and ML researchers
  • Advise projects on infrastructure choices and monitoring, then build resilient systems across cloud and on-premise environments

What you bring

  • At least five years designing and delivering distributed systems and machine-learning systems
  • Experience creating and maintaining DevOps pipelines, plus tools that automate infrastructure and DevOps work
  • Hands-on background deploying hybrid environments across on-premise infrastructure and major cloud platforms
  • Strong grasp of ML application release stages, UNIX, monitoring, and software engineering practices across the development lifecycle

Who this fits

This senior engineering role suits someone focused on ML infrastructure, deployment automation and production systems. The position is based in Calgary and is full-time.

From the employer

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:

2026-10-15

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

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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.

Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

ML Platform & Ops

Find me work

By the team behind aimlroles.

Find me work
Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.