Lead Machine Learning Scientist

Job Description

As a Lead Machine Learning Scientist, you will drive the development of advanced Python-based solutions to extract actionable insights from RBC's infrastructure data, enabling faster incident resolution and reducing Mean Time to Recovery (MTTR). Your expertise in Large Language Models (LLMs) and automation will enhance operational efficiency by streamlining data analysis and workflow processes. Collaborating with cross-functional teams, you will design and implement innovative machine learning models to monitor infrastructure health, predict potential issues, and optimize system performance. This role offers a unique opportunity to lead cutting-edge initiatives in a dynamic, high-impact environment.

What will you do?

• Design and implement advanced Python-based machine learning models to analyze infrastructure data and extract actionable insights.

• Leverage Large Language Models (LLMs) to enhance data interpretation and streamline operational workflows.

• Develop and deploy automation solutions to monitor infrastructure health, predict potential issues, and reduce Mean Time to Recovery (MTTR).

• Analyze and interpret operational data from systems like ServiceNow to identify patterns, optimize processes, and improve system stabilty.

• Collaborate with cross-functional teams to align machine learning solutions with organizational goals and infrastructure needs.

• Drive innovation by researching and applying cutting-edge machine learning techniques to solve complex infrastructure challenges.

• Build scalable and efficient pipelines for data processing and model deployment to ensure reliable and timely insights.

• Provide technical leadership and mentorship to team members, fostering a culture of continuous learning and improvement.

What do you need to succeed?

Must Have:

• Design and implement advanced Python-based machine learning models to analyze infrastructure data and extract actionable insights.

• Leverage Large Language Models (LLMs) and explore tools like Ollama to enhance data interpretation and streamline operational workflows.

• Develop and deploy automation solutions to monitor infrastructure health, predict potential issues, and reduce Mean Time to Recovery (MTTR).

• Analyze and interpret operational data from systems like ServiceNow to identify patterns, optimize processes, and improve system stability.

• Apply software engineering principles to build scalable, efficient, and maintainable pipelines for data processing and model deployment.

• Collaborate with cross-functional teams to align machine learning solutions with organizational goals and infrastructure needs.

Nice to Have:

• Experience with GitHub Actions to automate CI/CD pipelines for seamless integration and deployment of solutions.

• Familiarity with database technologies such as Postgres, SQL, MSSQL, and ELK Stack (Elasticsearch, Logstash, Kibana)

• Exposure to cloud-native platforms like OpenShift Container Platform (OCP)

• Knowledge of system architecture and experience working with distributed systems to enhance infrastructure performance.

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

• Flexible work/life balance options

• Opportunities to do challenging work

• Opportunities to take on progressively greater accountabilities

#Ll-POST
#TECHPJ

Job Skills

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

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:

2026-05-04

Application Deadline:

2026-05-11

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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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.