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Added 24 days ago
Senior ML Engineer, ML Platform - GFT
RBC
Vancouver, BC
Full-time
We are looking for a MLOps Engineer to help design and build a production-grade machine learning pipeline for financial risk model training and inference. The pipeline will support model…
Added 26 days ago
Software Engineer (Java) – Front Office Pricing & Risk
TD
Toronto, ON
Full-time
We are looking for a Software Engineer with strong Core Java fundamentals to join our pricing and risk services team.
Added 6 months ago
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a motivated Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 27 days ago
Generative AI Engineer -Vice President
Citi
Mississauga, ON
Full-time
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of the Services Tech…
Added 27 days ago
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
Full-time
You will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are…
Added 26 days ago
Agentic Engineer, Innovation
Manulife
Montreal, QC
Full-time
The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and…
Added 25 days ago
Chief Program Engineer
Kepler Communications Inc.
Toronto, ON · Greater Toronto Area, Canada
Full-time
As the Program Chief Engineer, you are the senior technical authority for the spacecraft program and the single point of technical accountability for mission success. Reporting directly to…
Added 1 month ago
Senior Civil Engineer - (Industrial, Energy & Infrastructure)
Ausenco
Burnaby, BC
Full-time
Our team in Canada is growing. We are currently recruiting for a Senior Civil Engineer to join our Infrastructure Engineering business line in the Burnaby or Burlington office. We are…
Added 25 days ago
Zero Trust Engineer
Deloitte
Canada
Full-time
The Application Security Engineer candidate will have a strong background in cybersecurity and understanding of web application and zero trust proxy security practices. The primary…
Added 25 days ago
Systems Software Engineer
Xanadu
Toronto, ON
Full-time
As an Embedded Software Engineer (Software for Hardware) at Xanadu, you will join the software-for-hardware team and help build the control and measurement software for our infrastructure…
Added 26 days ago
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
Toronto, ON
Full-time
Deep expertise in distributed systems architecture, cloud technologies, software engineering, and modern engineering practices.
Added 23 days ago
Staff ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Advanced Machine Learning Integration Capabilities: Deep expertise in integrating Machine Learning models and GenAI solutions with WM data and business systems, with proven success in…
Added 24 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges.
Added 22 days ago
AutoCAD and Systems Support Engineer, Junior(18 Month Contract)
WhiteWater West-
Richmond, BC
Contract
The IT Engineering Systems Team’s mandate is to develop and implement structured but flexible processes and software solutions to support a wide variety of multidisciplinary engineering,…
Added 24 days ago
Concepteur
Broan-NuTone
Drummondville, QC
Full-time
Expérience en conception de composants en tôle et en plastique ainsi qu’en intégration de composants électromécaniques.
Added 22 days ago
SolidWorks and Systems Support Engineer, Junior (18 Month Contract)
WhiteWater West-
Richmond, BC
Contract
Reports to Systems and Software Engineer, Lead
Added 23 days ago
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly…
Added 25 days ago
Senior Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
…(IAM), Information Security, Information Technology Security, IT Systems Integration, Negotiation, Software Development, Software Development Life Cycle…
Added 1 month ago
SSO Integrations
eBay
Toronto, ON
Full-time
Application & Platform Integration: Partner with internal software engineering squads to integrate multi-tiered environments securely into the SSO fabric.
Added 23 days ago
Sr. Software Engineer
eBay
Toronto, ON
Full-time
We are seeking a Sr. Software Engineer to join our eBay Search, Recs and Product Knowledge Team. You’ll work on high-impact eCommerce challenges, building modern, personalized shopping…
Added 23 days ago
Staff Software Engineer - MTS 2
eBay
Toronto, ON
Full-time
We are seeking an engineer to work in the product development team, responsible for design and drive development of Shipping Platform in eBay marketplace!
Added 25 days ago
Principal AI Engineer
PointClickCare
Mississauga, ON
$191,700 to $213,000 CAD / year
Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 25 days ago
AI Solutions Architect
SearchLabs
Toronto, ON
$180,000 to $200,000 CAD / year
Full-time
This is not simply a Software Engineer using AI tools to code. We’re looking for someone who has been responsible for architecting, integrating, deploying, and scaling AI systems in real…
Added 23 days ago
IT Warehouse Systems Solution Expert
Procter & Gamble
Toronto, ON
Full-time
The IT Software Engineer - Band 1 is a key member of our IT Engineering team. This role is responsible for translating system requirements and user stories into a robust supportable design…
Added 23 days ago
Senior Quality Assurance Engineer
BCAA
*Head Office
Full-time
As a Senior QA Engineer, you will play a key role in ensuring the stability, performance and quality of applications and systems that support Evo Car Share, Evolve Bike Share, Auto Service…

RBC

Senior ML Engineer, ML Platform - GFT

Vancouver, BC, Canada

Job type: Full-time
Apply by: Sep 29, 2026
Posting language: English
Posted: Sep 3, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

We are looking for a MLOps Engineer to help design and build a production-grade machine learning pipeline for financial risk model training and inference. The pipeline will support model training/testing/inference using Python and PySpark, on public cloud (AWS) and on-premises infrastructure.

This role is ideal for an engineer who combines Python programming, system design, and cloud engineering skills with a solid understanding of machine learning model lifecycle management from data preparation through training, validation, registration, and operational inference.

You’ll collaborate closely with data scientists, DevOps, and risk IT teams to build a reliable, automated, and auditable MLOps platform that meets enterprise standards for security, governance, and scalability.

What will you do?

Design and implement end-to-end reusable MLOps pipelines with a team of engineers to train, test, register, and deploy machine learning models
Build and automate model lifecycle management workflows including versioning, promotion, approval, and deprecation.
Develop and integrate a model registry (e.g., MLflow, SageMaker Model Registry, or custom solution) to manage model metadata, lineage, and reproducibility.
Orchestrate data and training workflows using tools such as Airflow, AWS Step Functions, stonebranch, or Prefect.
Implement CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline, ensuring consistent and automated deployment processes.
Build data preparation and training scripts in Python and PySpark, optimized for performance and scalability on AWS EMR, Cloudera Data Platform, or similar.
Manage model artifacts, dependencies, and environments across AWS and on-premis.
Ensure strong observability and auditability through structured logging, metrics, and model performance tracking.
Collaborate with DevOps and data engineering teams to ensure secure integration, data governance, and production readiness.

What do you need to succeed?

Must Have:

Bachelor’s degree in computer science, engineering, data science, or related quantitative and technical fields.
3+ years of experience in software engineering, data engineering, or MLOps.
1+ year experience working with AWS components
Experience working with containers and infrastructure automation.
Experience working with Linux systems, shell scripting, and environment management.
Knowledge of AWS data and ML services e.g., S3, EMR, Lambda, Step Functions, ECS/EKS, SageMaker, CloudWatch, IAM.
Understanding of model lifecycle management from training and testing to deployment, monitoring, and retraining.
Experience with CI/CD practices, using tools like GitHub Actions, Jenkins, or CodePipeline.
Familiarity with hybrid deployment environments (AWS and on-prem) and related networking/security considerations.
Knowledge of Python scripting for automation and ML workflow integration.
Knowledge of PySpark for distributed data processing and model training.

Nice to Have:

AWS Certified Machine Learning Engineer Associate, or Certified Solution Architect Associate, or CloudOps/SysOps Engineer Associate
AWS Certified Cloud Practitioner - Amazon Web Services
Experience implementing model monitoring and drift detection.
Familiarity with distributed training and parallel compute frameworks (Ray, Spark, Dask).
Experience with feature stores, data lineage, or metadata tracking systems.
Exposure to financial risk modeling workflows.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work

#TECHPJ

Job Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-29

Application Deadline:

2026-09-29

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.

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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.

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More about this job

Responsibilities

Design and implement end-to-end reusable MLOps pipelines to train, test, and deploy machine learning models. Collaborate with data scientists and DevOps teams to build reliable, automated, and auditable workflows for financial risk modeling.

Requirements

Requires a bachelor's degree in a quantitative field and at least 3 years of experience in software or data engineering. Candidates must have proficiency in Python, PySpark, AWS services, and MLOps lifecycle management.

Skills

Python
PySpark
AWS
MLOps
Machine learning
CI/CD
GitHub Actions
Jenkins
Airflow
SageMaker
Linux
Shell scripting
Infrastructure automation
Data engineering
Software engineering
Financial risk modeling

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock
World-class training program
Flexible work/life balance options

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning
Python
PySpark
AWS
CI/CD
GitHub Actions
Jenkins
Airflow
SageMaker
Linux
Infrastructure automation
Data engineering
Financial risk modeling
Model lifecycle management
Cloud engineering
S3
EMR
Lambda
Step Functions
ECS
EKS
CloudWatch
IAM
Distributed computing
Data governance
Observability
Auditability
Software engineering
Financial services

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