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Added 11 days ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
…analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the…
Added 11 days ago
Senior Software Engineer
Great Value Hiring
Canada
Contract
Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality
Added 11 days ago
Principal Firmware Engineer
Synopsys Inc
Ottawa, ON · Nepean, ON
Full-time
Analyze RTL waveforms and testchip data in the hardware lab to understand eye margin sensitivity and refine training algorithms
Added 11 days ago
Site Civil Section Manager
HDR
Toronto, ON · Richmond Hill, ON
Full-time
…where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological…
Added 11 days ago
Senior Software Engineer, Backend
Brex
Vancouver, BC
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an…
Added 11 days ago
Controls Engineer
e-STORAGE
Kitchener, ON
Full-time
The Controls Engineer will play a key role in the deployment of utility-scale Battery Energy Storage Systems (BESS) across the Americas region. This role supports the full project life…
Added 11 days ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 14 days ago
Management Consultant - Mining
Accenture
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
Full-time
You move comfortably between a technical conversation with an engineer and a business case in front of a sponsor. You can identify where value is leaking before anyone has told you to look.…
Added 12 days ago
Artificial Intelligence Engineer
Zown
Toronto, ON
Full-time
We are looking for an AI Software Engineer to design, build, and scale intelligent software systems that power our products. This role sits at the intersection of artificial intelligence…
Added 14 days ago
Senior Security Operations Specialist
CDW
Mississauga, ON
Full-time
Cortex: XDR Engineer or XSIAM Engineer; IBM QRadar Secuity - Certified Administrator, Deployment Professional; SANS: GCIA, GCIH, GSOC; Splunk, Crowdstrike Falcon - CCFA, CCIS, CCFH, CCCS,…
Added 12 days ago
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
Act as the principal designer and engineer for the Google Workspace tenant, ensuring organizational units (OUs), groups, and access controls are optimally structured for scale and security.
Added 12 days ago
Software Developer 1, Canada Tax Content
Intuit
Toronto, ON
Full-time
…products. This is an entry-level, growth-oriented role for an engineer developing proficiency across the full software development lifecycle - you'll deliver well-defined tasks under close…
Added 22 days ago
Production Engineer
Evertz Microsystems Limited
Burlington, ON
Full-time
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request…
Added 16 days ago
Lead Software Engineer – Java/Spring, AWS & Solution Architecture
Element Fleet Management
Toronto, ON
Full-time
…applications across front end, back end, APIs/services, integrations, data layers, AI-enabled capabilities, and vendor-supported…
Added 16 days ago
Senior Corporate Security Analyst
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
Full-time
…events - phishing campaigns, insider risk, compromised accounts, data-loss concerns - owning the response from triage through resolution and post-incident…
Added 18 days ago
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 16 days ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 17 days ago
Staff Product Engineer - Brand
Faire
Toronto, ON · Waterloo, ON
As a Staff Product Engineer on the Brand pillar, you will be responsible for helping teams execute on our hardest features, coaching engineers, and working alongside product, design, and…
Added 14 days ago
Data & Integration Developer
AtkinsRéalis
Mississauga, ON
Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 18 days ago
Senior Quality Engineer – Systems Integration
RBC
Toronto, ON
Full-time
Develop and execute tests that validate data flows, file transfer workflows, and job execution pipelines to ensure end-to-end workflow reliability
Added 2 months ago
Staff Developer, Intelligent Implementation Workspace
Dayforce
Canada
It is one workspace that carries an implementation from a customer's raw inputs all the way through configuration, data migration, and testing. AI agents do the heavy lifting so the experts…
Added 20 days ago
Process Engineer
Intertape Polymer Group (IPG)
Truro, NS
Position Purpose: Are you an engineer who loves solving problems, improving processes, and turning data into results? IPG is looking for a Process Engineer to lead impactful projects that…
Added 17 days ago
Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 12 days ago
Applied AI Engineer
Syntrace
Toronto, ON
Full-time
We are now hiring an Applied AI Engineer, based in Toronto.
Added 12 days ago
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
Establish standards for data ingestion, transformation, and consumption layers (e.g., Bronze, Silver, Gold architecture), working closely with Governance and DevOps Specialist, and Data…

Closed listing

RBC

Lead, Machine Learning Engineer, GFT

Toronto, ON, Canada

Job type: Full-time
Closing date: Sep 15, 2026
Posting language: English
Posted: Aug 25, 2026

This opening has closed.

The original listing is kept below for reference.

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About employer

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Original job description

Archived listing. The details below describe a past opening.

Job Description

What is the opportunity?

As a Senior Manager, AI and ML, you will be working on solving core business problems in compliance (trade surveillance, managing regulatory insights, etc) by leveraging AI and ML to optimize business processes and facilitate informed decision making. You will get the opportunity to work on cutting-edge technology and complex problems that generate significant value and have a high long-term impact on the bank’s growth.

What will you do?

Work on challenging business problems by leveraging large RBC data, translating them into machine learning problems and applying advanced machine learning algorithms to generate business value
Lead the end-to-end lifecycle of AI/ML initiatives - from ideation and POC through development, deployment, and production support

Design and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG) systems, LLM-powered agents, and NLP pipelines
Provide technical leadership and mentorship to team members, fostering a culture of innovation and continuous learning
Collaborate with engineering, architecture, and model risk management teams to ensure solutions meet enterprise standards for scalability, security, and governance
Stay current with emerging AI/ML technologies and evaluate their applicability to Compliance use cases
Communicate complex technical concepts to non-technical stakeholders and senior leadership

What do you need to succeed?

Must have:

PhD or Masters in a quantitative discipline such as computer science, mathematics, statistics, or engineering
Excellent verbal and written communication skills; ability to work collaboratively with cross-functional teams including business, engineering, and risk management
7+ years of expert level programming experience in Python (preferable) and other languages is a must – ability to write production level code and documentation
5+ years’ experience working with large unstructured and structured datasets - exploring and understanding data, cleaning and pre-processing, performing exploratory data analysis, generating business insights and communicating them in a clear, concise manner
5+ years’ experience developing and deploying models in production for real business problems
Knowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization packages like seaborn or matplotllib, etc and machine learning algorithms like logistic regression, tree based models, decision trees, random forests, etc
Strong understanding and work experience with core NLP and Generative AI like embeddings, text pre-processing, RNN’s, Transformer architecture, fine-tuning models, prompting techniques, etc
Demonstrated experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including vector databases, embedding models, and retrieval pipelines
Experience building and deploying RESTful APIs for ML model serving (FastAPI, Flask)
Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systems
Experience working with version control – git and linux.

Nice-to-have:

Experience building autonomous AI agents and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen)
Prior experience in financial services, particularly in Compliance, Risk, or Regulatory Technology
Experience working with big data, pyspark, scala
Experience working with deep learning – RNN’s, Transformer models, etc
2+ years’ experience working with Deep Learning Frameworks like Tensorflow or Pytorch

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
A world-class training program in financial services
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Opportunities to build close relationships with clients
Access to a variety of job opportunities across business and geographies

#LI- PK

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-04-27

Application Deadline:

2026-09-15

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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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.

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.

About employer

More about this job

Responsibilities

Lead the end-to-end lifecycle of AI/ML initiatives, from ideation and POC through to production deployment. Design and implement Generative AI solutions, including RAG systems and LLM-powered agents, while providing technical leadership to the team.

Requirements

Requires a Master's or PhD in a quantitative discipline and at least 7 years of expert-level Python programming experience. Candidates must have 5+ years of experience in developing and deploying production-level machine learning models and working with large datasets.

Skills

Machine Learning
Python
Natural Language Processing
Generative AI
RAG
Data Analysis
MLOps
FastAPI
Flask
Git
Linux
Transformer Architecture
Deep Learning
Big Data
Pyspark
Model Deployment

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Professional development coaching
Training program

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
RAG
NLP
Python
Data Science
Compliance
Trade Surveillance
LLM
Transformer
MLOps
CI/CD
RESTful APIs
FastAPI
Flask
Git
Linux
Big Data
Pyspark
Scala
Tensorflow
Pytorch
LangChain
Predictive Analytics
Data Mining
Risk Management
Regulatory Technology
Model Risk Management
Vector Databases

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