Senior Machine Learning Engineer, GFT

RBC; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading financial institution is seeking a Lead Machine Learning Engineer to build and scale data-driven systems. You will shape next-generation analytics platforms, lead by example, and define best practices in ML engineering. The ideal candidate has 3-5 years of experience in ML models, expertise in data tools, and strong communication skills. This role offers a competitive rewards program, opportunities for professional growth, and a dynamic team environment.

Benefits

Comprehensive Total Rewards Program

Opportunities for professional development

Dynamic and collaborative team environment

Qualifications

• 3-5 years of experience in building and deploying ML models.
• Deep expertise in ML lifecycle and MLOps practices.
• Strong grasp of modern data and ML engineering tools.

Responsibilities

• Design, build, and review scalable ML systems.
• Define and promote best practices in data and ML engineering.
• Work closely with development teams to translate needs into solutions.

Skills

Machine Learning frameworks (Keras, Pytorch, Scikit‑Learn)

MLOps practices

Python

AWS

Communication skills

Education

Bachelor’s degree in computer science or Engineering

Master’s or PhD preferred

Tools

Scalable architecture patterns

Snowflake

AWS SageMaker

SQL

Job description

Job Description

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.

What is the opportunity?

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?

• Be the rockstar: Design, build, and review scalable ML systems. This is a hands‑on role with end‑to‑end ownership.
• 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 members of development teams, 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:

• 3‑5 years of experience in building and deploying ML models using frameworks/libraries like Keras, Pytorch, Scikit‑Learn etc.
• Deep expertise in ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
• Strong grasp of modern data and ML engineering tools and languages (e.g., Python, Java/Scala, Spark, Pyspark, Kafka, SQL, Airflow).
• 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, AWS Bedrock, LLM deployments
• Background in enterprise‑level data governance, privacy, and security practices.

What’s in it for you?

• 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.

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.

Location: RBC CENTRE, 155 WELLINGTON ST W, Toronto, Canada.