Lead Machine Learning Engineer, GFT

RBC; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

RBC is seeking a Lead Machine Learning Engineer to drive innovation in data-driven systems for advanced analytics and risk management. This hands-on role involves designing scalable data pipelines and leading technical direction while collaborating across functions. Join a dynamic team and make a significant impact in a progressive environment.

Benefits

Comprehensive Total Rewards Program

Leaders who support your development

Opportunities to make a difference

Dynamic and collaborative team environment

Qualifications

• 7+ years of experience in designing and building data-intensive applications.
• Deep expertise in modern data and ML engineering tools and languages.
• Strong understanding of the ML lifecycle and MLOps practices.

Responsibilities

• Design, build, and review scalable data pipelines and ML systems.
• Define and promote best practices in data and ML engineering.
• Work closely with data scientists and business leaders to deliver solutions.

Skills

Problem Solving

Machine Learning Algorithms

Predictive Analytics

Deep Learning

Distributed Systems

Generative AI

Education

Bachelor’s degree in computer science, Engineering, or a related field

Master's or PhD preferred

Tools

Python

AWS

Apache Spark

Apache Kafka

Apache Airflow

Snowflake

Job description

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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 include 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.

Job Summary

Job Description

Title: Lead Machine Learning Engineer

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 include 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:

• 7+ years of experience in designing and building data-intensive applications with deep understanding of distributed systems
• 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.

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.
• Opportunities to do challenging work and take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies.

Job Skills

Amazon Sagemaker, Apache Airflow, Apache Hadoop, Apache Kafka, Apache Spark, AWS Ecosystem, Big Data, Deep Learning, Distributed Systems, Generative AI, Grafana, Large Language Models (LLMs), Machine Learning Algorithms, Predictive Analytics, Problem Solving, Python (Programming Language), Snowflake (Platform)

Additional Job Details

Address:

410 GEORGIA ST W, FLOOR 3: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:

2025-05-14

Application Deadline:

2025-05-31

Note: Applications will be accepted until 11:59 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.

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