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Added 8 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 17 days ago
Production Engineer
Evertz Microsystems Limited
Burlington, ON
Full-time
Python certification with experience is an asset
Added 11 days ago
Lead Software Engineer – Java/Spring, AWS & Solution Architecture
Element Fleet Management
Toronto, ON
Full-time
Strong proficiency in at least one modern backend language/framework (e.g., Java/Spring Boot, Node.js, or Python), with experience designing scalable REST/GraphQL APIs, microservices,…
Added 11 days ago
Senior Corporate Security Analyst
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
Full-time
Your team will work closely with the IT Systems, Application Security, People, Compliance, and IT Services teams to ensure appropriate security coverage in detection, response, and…
Added 13 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 11 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 13 days ago
Lead Platform Engineer
RBC
Toronto, ON
Full-time
Proficient developer in at least one common object-oriented language (Python, Java, JavaScript/TypeScript) with strong Bash scripting and emphasis on building reusable platform tooling
Added 25 days ago
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
$240,000 to $285,000 USD / year
Full-time
Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions.
Added 16 days ago
Senior Software Developer - SQL/Python
RBC
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 13 days ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 12 days ago
Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
Full-time
Proficient in Python and/or TypeScript; able to write clean, maintainable, production-quality codeHands-on experience with AWS (ECS, Lambda, API Gateway, or similar)
Added 8 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
Senior Controller Integration Engineering
General Motors
Markham, ON · Oshawa, ON
Full-time
We are seeking a senior engineer to join our Autonomous Vehicle Integrity Platform (AVIP) organization in a role that combines software triage and data analysis with cross-functional…
Added 8 days ago
Specialist Software Cloud Developer
CPKC
Calgary, AB
Full-time
Strong programming skills in Python and SQL, with exposure to TypeScript, React, and Node.js for cloud applications
Added 9 days ago
Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
Full-time
As a Cloud & AI Apps Solution Engineer, you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft’s AI-powered stack across every stage of the…
Added 9 days ago
FY27 Intern - MSIP Digital Design Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
Full-time
Mentorship: You will be paired with an engineer dedicated to your growth and success.
Added 9 days ago
FY27 Intern - MSIP Digital Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
Full-time
Mentorship: You will be paired with an engineer dedicated to your growth and success.
Added 9 days ago
FY27 Intern - Silicon Validation Engineer, Electrical and Optical Systems Internship - Canada (16 months)
Qualcomm
Ottawa, ON
Full-time
Familiarity with Python and object-oriented programming concepts; experience developing or maintaining software tools is a strong asset
Added 8 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 8 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 8 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 9 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
…proficient in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't…
Added 9 days ago
Lead Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
Full-time
As an Lead Domain Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive IP domain and power-management validation for AMD Data Center GPU products…
Added 9 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation.…
Added 9 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…

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.

Find open jobs More jobs with this employer

About employer

Similar jobs hiring now

Added 22 hours ago
Lead Data Scientist
Class8 · Remote, Canada
$130,000 to $200,000 CAD / year
Added 1 day ago
Data Architect (MDM) - ERP Data Transformation
Resonaite · Toronto, ON, Canada
Added 1 day ago
Senior Data Scientist
Spin Master Ltd · Toronto, ON, Canada
Added 1 day ago
Data Architect
Insight · Toronto, ON, Canada

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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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