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Added 20 days ago
Senior Machine Learning Engineer – Azure ML, Databricks, MLflow & MLOps
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Senior Machine Learning Engineer – Azure ML, Databricks & MLOps
Added 22 days ago
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 10 days ago
Senior AI Engineer
Mastercard
Vancouver, BC
Full-time
…teams to move their research products into production. As a Senior AI Engineer, you will independently build and ship agent-based applications and developer tooling, and partner with data…
Added 12 days ago
Senior Software Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for a visionary Senior Software Engineer to provide strategic technical leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI…
Added 2 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
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…
Added 2 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 3 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 3 days ago
Sr. Machine Learning Engineer
Insight
Remote, Canada
Full-time · Remote
As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on…
Added 3 days ago
Senior AI Engineer
HomeTeam Network
SK · Saskatchewan, Canada
Full-time
As a Senior AI Engineer at HomeTeam Network, you'll be at the forefront of developing solutions that power our AI-complete sports broadcasting platform. You'll work on cutting-edge computer…
Added 19 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
…solutions for our clients. You will lead teams, engage with senior client stakeholders, and translate complex business challenges into secure, ethical and high‑impact AI/ML solutions. This…
Added 4 days ago
AI / ML Engineer
Synechron
Montreal, QC · MDC – Montreal
Full-time
Connaissance des pratiques MLOps et des pipelines de déploiement de modèles.
Added 4 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
Senior-level, hands-on experience as a Machine Learning Engineer, ML Specialist, MLOps Engineer, or similar production-focused ML professional.
Added 4 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 5 days ago
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 5 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 6 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 15 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 20 days ago
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 11 days ago
Generative AI Engineer
PrecisionERP / PrecisionIT
Toronto, ON
Contract
PrecisionERP/IT is seeking a Senior Generative AI Engineer to design, build, and scale enterprise AI systems, Generative AI applications, and intelligent agents.
Added 12 days ago
Staff Software Engineer
kadence
Toronto, ON
Full-time
They’re looking for a Staff Software Engineer, AI to provide hands-on technical leadership across the design, development, and scaling of enterprise-grade AI systems. This is a senior…
Added 16 days ago
Director, Program Delivery
RBC
Vancouver, BC
Full-time
Experience delivering AI, machine learning, data, cloud, or platform solutions into production environments.
Added 11 days ago
Lead Data Scientist- Canada
Very LLC
Remote, Canada
$100 CAD / hour
Contract · Remote
Added 16 days ago
Senior Software Engineer, GenAI Workflows
Eyeline
Vancouver, BC
$165,000 to $200,000 CAD / year
Full-time
As Senior Software Engineer within GenAI Workflows, you will collaborate closely with GenAI-powered VFX stakeholders to understand user needs and use your deep understanding of ML processes…
Added 17 days ago
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 17 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.

Royal Bank of Canada

Senior Machine Learning Engineer, GFT

Toronto, ON, M9W 0A4, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Experience: 5+ years of experience in machine learning engineering with 2+ years focused on production ML systems
Posting language: English
Posted: Sep 12, 2026

Apply About employer

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Original job description

Job Description

What is the opportunity?

Come and be part of our innovative and high-performing GenAI and Mobile team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on building production-grade GenAI applications. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines. The successful candidate will collaborate with stakeholders to identify opportunities, develop impactful solutions, and drive the adoption of advanced AI technologies across the organization.

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing GenAI applications at scale? Come join us!

Global Functions Technologies impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformational 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.

As a Senior Machine Learning Engineer, you will be a key member of a team, developing and deploying large-scale GenAI applications for enterprise use cases. You will build and optimize LLM-based solutions, RAG systems, agentic workflows, and production ML infrastructure that powers effective decision-making across RBC. You will be working in a cross-functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets, modern AI frameworks, and cloud-native platforms. You will collaborate with other developers, ML engineers, and business partners to deliver medium to high-complexity GenAI initiatives with measurable business impact.

What will you do?

Develop, and productionize advanced GenAI and AI solutions, ensuring they address complex business challenges with measurable impact and deliver tangible ROI
Optimize and deploy state-of-the-art ML models and AI agents, leveraging modern frameworks (e.g., LangChain, LangGraph, or similar) and best practices for scalability, reliability, and maintainability
Contribute to experimentation and continuous improvement cycles, including robust prompt engineering, model evaluation, A/B testing, and performance optimization of production GenAI systems
Build and maintain production-grade ML infrastructure including data pipelines, model serving endpoints, monitoring systems, and automated deployment workflows
Implement RAG (Retrieval-Augmented Generation) systems using vector databases, semantic search, and knowledge retrieval techniques to enhance LLM capabilities
Develop agentic AI workflows with multi-step reasoning, tool use, and orchestration to solve complex business problems autonomously
Collaborate with product managers, data engineers, and business stakeholders to translate requirements into technical specifications and working solutions
Write clean, maintainable, well-documented code following software engineering best practices including code reviews, testing, and version control
Stay current with emerging GenAI technologies and research, evaluating new models, frameworks, and techniques for potential adoption
Participate in technical design discussions and contribute to architectural decisions for GenAI applications and ML infrastructure
Ensure responsible AI practices including bias detection, model explainability, security, privacy, and compliance with enterprise governance standards
Document technical solutions, architectures, and processes to enable knowledge sharing and team scalability

What do you need to succeed?

Required Qualifications

5+ years of experience in machine learning engineering with 2+ years focused on production ML systems
Hands-on experience building GenAI applications using LLMs, RAG, agents, or similar technologies in production environments
Strong proficiency in Python and modern ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI API, Anthropic Claude, etc.)
Solid understanding of LLM architectures, prompt engineering, fine-tuning, and optimization techniques
Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
Practical knowledge of MLOps practices including CI/CD, model monitoring, versioning, and deployment automation
Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma) and semantic search systems
Strong problem-solving skills with ability to break down complex problems into implementable solutions
Excellent collaboration and communication skills with ability to work effectively in cross-functional teams
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)

Preferred Qualifications

Experience in financial services or highly regulated industries with understanding of compliance and data privacy requirements
Knowledge of agentic AI architectures and multi-agent orchestration frameworks
Experience with real-time streaming data and event-driven architectures
Familiarity with distributed systems and high-scale data processing
Experience with A/B testing frameworks and experimentation platforms
Contributions to open-source ML/AI projects or technical blog posts
Experience with graph databases and knowledge graph construction
Understanding of transformer architectures and attention mechanisms

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.

Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact on enterprise AI adoption across RBC
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work and build cutting-edge GenAI solutions at scale
Access to emerging technologies and continuous learning in the rapidly evolving AI landscape
Exposure to diverse business problems across Risk, Finance, Compliance, and other critical functions
Competitive compensation and benefits package

#TECHPJ

Job Skills

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

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:

2026-08-28

Application Deadline:

2026-10-02

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.

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More about this job

Responsibilities

Develop and productionize advanced GenAI and AI solutions to address complex business challenges with measurable impact. Build and maintain production-grade ML infrastructure, including data pipelines, model serving, and agentic workflows.

Requirements

Requires 5+ years of experience in machine learning engineering with at least 2 years focused on production ML systems. Candidates must have a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Skills

Machine Learning Engineering
GenAI
LLM
RAG
Python
LangChain
LangGraph
Prompt Engineering
MLOps
Cloud Platforms
Docker
Kubernetes
Vector Databases
Semantic Search
Agentic Workflows
Data Pipelines

Benefits

Competitive compensation
Professional development coaching

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
GenAI
LLM
RAG
Python
LangChain
LangGraph
Hugging Face
OpenAI API
Anthropic Claude
AWS
Azure
GCP
Docker
Kubernetes
MLOps
CI/CD
Pinecone
Weaviate
pgvector
Chroma
Agentic AI
Data Engineering
Transformer Architectures
Financial Services
Software Engineering
Model Evaluation
A/B Testing
Production Infrastructure
Enterprise Governance

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