Job Description
Job Summary
Directs and leads the operation and delivery of machine learning programs and projects. Manages activities through senior managers and managers and implements corporate and divisional strategic plans and budgets.
Job Description
What is the opportunity?
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’re seeking a Lead Machine Learning Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship.
What will you do?
Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.
Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
What do you need to succeed?
Must Have:
10+ years of experience in designing and building data-intensive applications with deep understanding of distributed systems
3+ years in engineering leadership role
Deep expertise in modern data and ML engineering tools and languages (e.g., Python, Java/Scala, Spark, Pyspark, Kafka, SQL, Airflow).
Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.
Nice to Have:
Hands-on experience with Snowflake, AWS SageMaker, LLM deployments
Background in enterprise-level data governance, privacy, and security practices.
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages, Relationship Building
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:
2026-06-16
Application Deadline:
2026-07-18
Note: Applications will be accepted until 11:5+ PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
Directs and leads the operation and delivery of machine learning programs and projects. Manages activities through senior managers and managers and implements corporate and divisional strategic plans and budgets.
Job Description
What is the opportunity?
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’re seeking a Lead Machine Learning Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship.
What will you do?
Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.
Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
What do you need to succeed?
Must Have:
10+ years of experience in designing and building data-intensive applications with deep understanding of distributed systems
3+ years in engineering leadership role
Deep expertise in modern data and ML engineering tools and languages (e.g., Python, Java/Scala, Spark, Pyspark, Kafka, SQL, Airflow).
Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.
Nice to Have:
Hands-on experience with Snowflake, AWS SageMaker, LLM deployments
Background in enterprise-level data governance, privacy, and security practices.
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages, Relationship Building
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:
2026-06-16
Application Deadline:
2026-07-18
Note: Applications will be accepted until 11:5+ PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
💡 Quick Summary
Seeking a career-building opportunity? The Director and Principal Engineer - Data and ML platforms position is now open for candidates interested in the Bank Jobs sector. This role in Vancouver offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
