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Added 10 mins ago
GC
Engineer or Engineer in Training, MechanicalNew
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to Senior Engineer, Maintenance, the Engineer / EIT, Mechanical is responsible
Added 11 mins ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
A senior-level, hands-on Kubernetes / Cloud Platform Engineer who can independently resolve challenging Kubernetes infrastructure and workload issues.
Added 11 mins ago
KG
Solid Waste Engineer
KGS Group
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- Full-time
The Senior Solid Waste Engineer will have a key role In developing and delivering solid waste projects from the proposal stage through design, construction and final delivery. You will work…
Added 11 mins ago
E
Junior Geotechnical EIT, Tailings & Mine Waste
Equilibrium
Vancouver, BC
- $72,000 to $86,000 CAD / year
- Full-time
As a Junior Geotechnical Engineer-in-Training, you will support field investigations, technical analysis, data interpretation, and reporting for tailings and mine-waste projects. You will…
Added 11 mins ago
S
Associate Principal Electrical Engineering
SearchLabs
Toronto, ON
- Full-time
This is an excellent opportunity for a senior electrical engineer who wants to combine technical leadership with project delivery, client management, team development, and business growth.…
Added 15 mins ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 18 mins ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 18 mins ago
CE
Architecte Matériel Senior
CMC Electronics
Montreal, QC
- Full-time
This position reports to the Hardware Engineering Manager and collaborates closely with the Chief Engineer and System Engineers to design and enhance CMC’s core products. As the hands-on…
Added 22 mins ago
NG
Underground Mine Planner/EIT - Flights & Accommodation provided
New Gold Inc.
Emo, ON
- Full-time
Reports To: Senior Underground Mining Engineer
Added 25 mins ago
B
Senior Staff Software Development Engineer
BeyondTrust
Canada
- Full-time
BeyondTrust is seeking a Senior Staff Software Development Engineer to set the technical direction for NHI Governance. NHI Governance is the Pathfinder Insights module that discovers,…
Added 25 mins ago
ED
Senior Network Delivery Engineer - EN 235
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
EDC is seeking a senior network engineering professional to lead the design, implementation, automation, validation, modernization, and production transition of secure enterprise network…
Added 25 mins ago
B
Senior Software Development Engineer
BeyondTrust
Canada
- Full-time
BeyondTrust is seeking a Senior Software Development Engineer to help build NHI Governance. NHI Governance is the Pathfinder Insights module that discovers, assesses, and remediates…
Added 25 mins ago
I
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Senior Software Engineer to join our HCM engineering team in Toronto. You will own the design and delivery of full stack features across our HCM surfaces, working from…
Added 25 mins ago
SE
Senior AI Software Engineer
Stikeman Elliott LLP
Toronto, ON
- Full-time
…is already in daily use and continues to expand. This is the senior engineering role responsible for advancing its…
Added 25 mins ago
N
Senior Mechanical Engineer (TPSS)
Nordion
Ottawa, ON
- Full-time
The Mechanical Engineer will be responsible for the design, testing and on-going technical and manufacturing support of sealed sources and transport packages used for the shipment of…
Added 25 mins ago
G
Engineer or Engineer in Training, Mechanical
Glencore
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to Senior Engineer, Maintenance, the Engineer / EIT, Mechanical is responsible
Added 28 mins ago
AR
Senior Systems Engineer - Tier 3
Accu-staff Resource Systems Enterprises LTD
London, ON
- Full-time
We're looking for an experienced Senior Systems Engineer to join a growing technology team supporting complex client environments.
Added 28 mins ago
N
Intermediate Mechanical Engineer
Nordion
Ottawa, ON
- Full-time
As an Engineer Associate, you will be responsible for the design, testing and on-going technical and manufacturing support of sealed sources and transport packages used for the shipment of…
Added 28 mins ago
N
Intermediate Mechanical Engineer (Irradiators)
Nordion
Ottawa, ON
- Full-time
Participate in engineer design reviews to ensure they have met all the applicable engineering, quality, safety, and regulatory requirements.
Added 37 mins ago
WO
Principal Network Engineer
Wizards of the Coast
Montreal, QC
- Full-time
We seek a Principal Network Engineer to serve as the technical lead for our enterprise network transformation. This is the highest-level individual contributor role on the Network…
Added 37 mins ago
M
Program Manager
MethodHub
Vancouver, BC
- Contract
…Vancouver, Seattle, and Portland, partnering with the Tech Lead Engineer/Analyst, the Analyst, and the offshore development squad to ensure the team delivers against the Rapid Core and…
Added 40 mins ago
ES
Forward Deployed Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 40 mins ago
KS
Senior Devops Engineer
Kumaran Systems
Toronto, ON
- Full-time
We are looking for a Senior DevOps Engineer / Lead who is highly experienced in cloud and containerization technologies. The ideal candidate should be capable of providing technical…
Added 42 mins ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Senior Site Reliability Engineer - AEM - Content Delivery Network
Added 42 mins ago
S
DevOps Automation Engineer
SMARTFOX
Canada
- Full-time
Senior DevOps Engineer - 5+ years : Architecting the delivery platform, setting standards, leading major initiatives, shaping cloud and release strategy

Toast

Manager, ML/AI Engineer, Data & AI

Toronto, ON, Canada

$101,000 to $135,000 USD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $101,000 to $135,000 USD / year
Job type: Full-time
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Job Description

Toast is recruiting on behalf of a global professional services firm with more than 10,000 people across Canada, serving many of the country’s largest enterprises and public sector organizations. Its AI team helps clients take machine learning and generative AI from proof of concept to secure, scalable production. They are hiring a Manager, ML/AI Engineer to work directly with clients, architect AI solutions end to end, and get them running reliably in the cloud and on-prem. This is a full-time, hands-on role based in Toronto, Vancouver, or Calgary.

Responsibilities

Work alongside client teams to pinpoint business problems that AI and advanced analytics can solve
Turn client goals into complete ML/AI solution architectures, from data to deployment
Build models for real business needs like demand forecasting, recommendations, classification, and spotting anomalies, starting with data exploration and preparation
Design and refine generative AI solutions on leading cloud AI platforms across Azure, Google Cloud, and AWS
Set up production-grade ML pipelines with automated testing, version control, continuous deployment, and monitoring
Keep models healthy after launch by tracking performance, catching drift, and planning retraining
Team up with data engineers so training and inference run on dependable, scalable data foundations
Build fairness, transparency, governance, and privacy safeguards into every solution
Lead and contribute to client workshops and presentations on AI strategy and implementation

Requirements

Degree in computer science, engineering, data science, math, or a similar field
5+ years in machine learning, data science, or AI engineering, including shipping ML solutions to production
Advanced Python for analysis, modelling, and engineering work
Hands-on experience with popular ML libraries and platforms such as PyTorch, TensorFlow, scikit-learn, Databricks, or Azure ML
Strong foundation in statistics, ML algorithms, feature engineering, and model evaluation
Track record building full ML pipelines covering preprocessing, training, validation, deployment, and monitoring
Working knowledge of MLOps, including experiment tracking, model versioning, CI/CD, and automated retraining
Experience deploying models on Azure, AWS, or GCP, with a solid understanding of cloud architecture and security
Direct experience with LLMs and generative AI, such as prompt engineering or RAG
Client-facing confidence and the ability to make technical ideas clear to business audiences
Comfortable working across disciplines to solve complex problems as a team

Nice to Haves

Experience with Spark or other distributed processing tools would be a plus
Experience fine-tuning foundation models is considered an asset
A cloud AI or ML certification from Azure, AWS, Google Cloud, or Databricks would be a plus

Benefits

Base salary of $101,000 to $135,000, depending on location, skills, and experience
Eligibility for annual bonus awards on top of base salary
Full benefits package, including health and wellness coverage
Choice of three major Canadian tech hubs: Toronto, Vancouver, or Calgary
Build production AI systems that large Canadian organizations rely on to make decisions every day, from forecasting demand to flagging anomalies before they become costly problems
Shape how major organizations adopt AI responsibly, embedding explainability, bias detection, and governance into the systems you deliver
Hands-on exposure to all three major clouds and the latest GenAI tooling, building a skill set that stays in high demand
A manager-level seat with direct client access, giving you a strong runway toward senior leadership in AI consulting
Application Review

Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!

Vetting Call

If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.

Profile Creation

Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.

Client Submission

After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.

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More about this job

Responsibilities

Partner with clients to identify AI opportunities and design, build, and deploy end-to-end machine learning and generative AI solutions across cloud and on-premises environments. Establish production-grade ML pipelines and monitoring, maintain model performance and governance safeguards, and lead client workshops on AI strategy and implementation.

Requirements

Requires a degree in computer science, engineering, data science, mathematics, or a related field, along with at least five years of relevant experience delivering machine learning solutions to production. Candidates need advanced Python, hands-on ML and cloud platform experience, strong MLOps and modeling foundations, direct generative AI experience, and the ability to communicate effectively with clients and multidisciplinary teams.

Skills

Python
Machine Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
PyTorch
TensorFlow
Scikit-Learn
Databricks
Azure Machine Learning
MLOps
Cloud Architecture
Model Evaluation
Feature Engineering
Client Communication

Benefits

Annual Bonus
Health And Wellness Coverage

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
Python
PyTorch
TensorFlow
Scikit-Learn
Databricks
Azure Machine Learning
Azure
Amazon Web Services
Google Cloud
MLOps
Spark
Prompt Engineering
Retrieval-Augmented Generation
Cloud Architecture
Machine Learning Pipelines
Continuous Integration And Continuous Deployment
Model Monitoring
Model Versioning
Experiment Tracking
Automated Retraining
Feature Engineering
Model Evaluation
Demand Forecasting
Recommendation Systems
Anomaly Detection
Responsible AI

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