Senior Machine Learning Engineer

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Royal Bank of Canada is seeking a Senior Machine Learning Engineer to lead the development and deployment of ML and generative AI across products and services within the AI & Innovation team in Toronto.

You will design end-to-end ML pipelines, collaborate with data analytics, provide technical leadership, and ensure code quality and scalability while staying ahead of AI trends to inform business strategy.

Qualifications

• Strong proficiency in programming languages (Java, Python, Shell Script).
• Hands-on ML model pipelines, feature engineering, model training and inference.
• Proven experience with LLM models in production environments.
• Deep learning frameworks such as TensorFlow and PyTorch.
• Ability to collaborate with cross-functional teams to translate product needs into technical solutions.
• Experience with application monitoring tools (Dynatrace, Prognosis).
• Solid knowledge of DevOps practices (GitHub, Jenkins, Urban Code, Nexus, Ansible).
• Public and private cloud expertise (Azure, AWS, GCP, OpenShift, Docker, Kubernetes).

Responsibilities

• Design and deploy ML solutions and generative AI use cases.
• Advance ML capabilities with model training and feature engineering.
• Build GenAI solutions and enhance existing use cases.
• Collaborate with Data Analytics to translate requirements into technical solutions.
• Provide technical leadership and mentoring.
• Maintain code quality and scalability across deliverables.
• Stay current on trends and industry best practices.

Skills

Java

Python

ML pipelines

LLM models

Deep learning

DevOps practices

Cloud platforms

GitHub

Tools

GitHub

Jenkins

Urban Code

Nexus

Ansible

Dynatrace

Prognosis

Kubernetes

Docker

Job description

Job Description

We are seeking a talented Senior Machine Learning Engineer to join our AI & Innovation team at Royal Bank of Canada. In this role, you will drive the development and deployment of cutting-edge machine learning and generative AI solutions that enhance our products and services.

What You'll Do

• Design and Deploy AI Solutions: Conduct hands-on application design, coding, and deployment of machine learning models and generative AI use cases


• Advance ML Capabilities: Enhance machine learning use case development, model training, and feature engineering pipelines


• Build GenAI Solutions: Develop hands-on solutions using generative AI technologies, building both new use cases and enhancing existing ones


• Cross-Functional Collaboration: Partner with our Data Analytics team to leverage machine learning expertise and translate business requirements into technical solutions


• Technical Leadership: Provide technical influence by sharing knowledge, mentoring team members, and establishing best practices


• Maintain Excellence: Ensure code quality, best practices, and scalability across all deliverables


• Stay Current: Research emerging trends and industry best practices, evaluating implications for our business strategy

What You Need To Succeed – Must-Have's

• Strong proficiency in programming and scripting languages (Java, Python, Shell Script, etc.)


• Hands-on experience developing and managing ML model pipelines, feature engineering, model training, and inferencing


• Proven experience with LLM models (Cohere, Haiku, and other cognitive services) in production environments


• Deep expertise in deep learning frameworks (TensorFlow, PyTorch)


• Ability to work effectively with cross-functional teams to understand product usage and generate innovative ideas


• Experience with application monitoring tools (Dynatrace, Prognosis)


• Solid knowledge of DevOps tools and practices (GitHub, Jenkins, Urban Code, Nexus, Ansible)


• Public and Private cloud expertise (Azure, AWS, GCP, OpenShift, Docker, Kubernetes)

Nice to have:

• Experience with ELK technology stack and graph databases (Neo4j, Neptune)


• Some experience with modern UI technologies (React, Angular)

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.


• Network and build lasting relationships with students from diverse backgrounds from across Canada.


• Leaders who support your development through coaching and learning opportunities


• Work in a dynamic, collaborative, progressive and highly performing team


• Ability to make a difference and lasting impact

Job Skills

Agile Methodology, Analytical Thinking, Application Integrations, Application Monitoring, Data Analytics, Deep Learning, Detail-Oriented, DevOps, ElasticSearch, Enterprise Application Delivery, Generative AI, GitHub, Group Problem Solving, Java (Programming Language), Kubernetes, Machine Learning (ML), Microsoft Azure, Monitoring Tools, Private Clouds, Problem Solving, Python (Programming Language), Shell Scripting, Software Development, Software Development Life Cycle (SDLC), Tensorflow

Additional Job Details

Address

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City

Toronto

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

TECHNOLOGY AND OPERATIONS

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-09-15

Application Deadline

2026-10-02

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

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.