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Added 24 mins ago
TL
Controller
Toronto Lawyers Association
Toronto, ON
- Full-time
Location: 361 University Avenue, Toronto, ON M5G 1T3
Added 24 mins ago
FN
Associate Financial Accountant, Finance
First National Financial LP
Toronto, ON · East York, ON
- Contract
Extensive training programs to set our employees up for success
Added 24 mins ago
PJ
Group Fitness Manager
Prosserman JCC
Vaughan, ON
- Full-time
…community. As one of the largest engagement platforms in the Greater Toronto Area, we offer a diverse range of programs, including arts, fitness, education, daycare, summer camps, and more.…
Added 27 mins ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
Added 27 mins ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Retail Credit Risk, Model Validation
Added 27 mins ago
Employer Liaison/Coach
Talent Acquisition - Achev
Mississauga, ON
…critical skilled trades shortage by providing hands-on technical training, developing employability skills, and offering paid work placements, while promoting diversity and inclusion among…
Added 27 mins ago
B
Chef·fe d'équipe SEO | SEO Team Lead
Bloom
Montreal, QC
- Full-time
Rejoignez l’équipe dynamique de Bloom, une agence numérique innovante avec des bureaux à Montréal et Toronto. Ici, on place la flexibilité, le bien-être de nos employés et l’équilibre entre…
Added 27 mins ago
B
Directeur·trice SEO | SEO Director
Bloom
Montreal, QC
- Full-time
Rejoignez l’équipe dynamique de Bloom, une agence numérique innovante avec des bureaux à Montréal et Toronto. Ici, on place la flexibilité, le bien-être de nos employés et l’équilibre entre…
Added 27 mins ago
D
Manager, Programmatic
dentsu
Toronto, ON
- Full-time
…in a team environment and is accountable. As a Programmatic Manager your role is to support and strengthen our team of programmatic buyers and strategists. You'll be the team's go-to…
Added 43 mins ago
VM
Store Manager – Rowe Farms Bloor West Village
VG Meats
Toronto, ON
- $55,000 to $85,000 CAD / year
- Full-time
Location: Rowe Farms, Bloor West Village – 2230 Bloor St W, Toronto · Full-time, permanent
Added 52 mins ago
B
Senior Resource Manager
BIMM
Toronto, ON
- Full-time
BIMM is booming, so we’re looking for a Senior Resource Manager to join our team!
Added 52 mins ago
GT
Data Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Support stakeholder communications, change management activities, training, and adoption of analytics products.
Added 52 mins ago
FC
Fit4Less Host - Toronto Yonge and Alexander
Fit4Less Canada
Toronto, ON
- Part-time
Completes and reads daily, weekly and monthly cleanliness tasks, communications and training to achieve standard expectations.
Added 52 mins ago
NF
Business Development Manager
NES Fircroft
Toronto, ON
- Full-time
Business Development Manager – Mining (Toronto)
Added 1 hour ago
SH
Registered Practical Nurse, GEN Family Maternity Centre (EXTERNAL)
Scarborough Health Network
Toronto, ON · Scarborough, ON
- Part-time
…a community-affiliated teaching site for the University of Toronto and partner with a number of other universities and colleges, helping to train the next generation of health care…
Added 1 hour ago
TD
Administrator, Talent Acquisition (Permanent)
Toronto District School Board
Toronto, ON
- $73,837 to $88,621 CAD / year
- Full-time
The Toronto District School Board adheres to equitable hiring and employment practices. We strive to meet the accommodation needs of persons with disabilities. Applicants are encouraged to…
Added 1 hour ago
T
AVP Business Development and Strategy, AMG
TD
Toronto, ON · Ottawa, ON · Montreal, QC · Halifax, NS · Calgary, AB
- Full-time
Lead sales enablement efforts including Strategic Proposals and BD support, partner & internal communications, marketing & partner engagement and sales capability training.
Added 1 hour ago
T
Mulesoft Software Engineer II
TD
Toronto, ON
- Full-time
…providing Technical Design, Development, Process Improvements, and training/mentoring as necessary for multiple Marketing Colleague enablement programs using…
Added 1 hour ago
T
Software Engineer II (SDET)
TD
Toronto, ON
- Full-time
Participate in personal performance management and development activities, including cross training within own team
Added 1 hour ago
T
Credit Exceptions Risk Analyst (5562)
TD
Toronto, ON
- Full-time
Manage operational risk (e.g., cross-training, documentation, and audit).
Added 1 hour ago
CM
Case Manager
Canadian Mental Health Association (CMHA) - Toronto
Toronto, ON · North York, ON
- $30.19 to $33.08 CAD / hour
- Full-time
CMHA Toronto is seeking a Case Manager- to join our Early Psychosis Intervention Team. This position is part of a dynamic, multidisciplinary team and will be based at our Lawrence Avenue…
Added 1 hour ago
Medevac Dispatcher
The Talent Team at Perimeter Aviation
Winnipeg, MB
…Manitoba as well as Sioux Lookout, Timmins, Thunder Bay, and Toronto Ontario. We provide scheduled passenger and freight services to Northern Manitoba and Northern Ontario, 24/7 North…
Added 1 hour ago
Flight Dispatcher
The Talent Team at Perimeter Aviation
Winnipeg, MB
…Manitoba as well as Sioux Lookout, Timmins, Thunder Bay, and Toronto Ontario. We provide scheduled passenger and freight services to Northern Manitoba and Northern Ontario, 24/7 North…
Added 1 hour ago
Benefits and Retirement Plan Administrator
Neighbourly Pharmacy
Toronto, ON
…Retirement Plan Administrator to join our Total Rewards team in Toronto, Ontario. The position reports directly to the Total Rewards Director. They will have the opportunity to engage with…
Added 1 hour ago
B
BMO Capital Markets Investment Banking Summer 2027 Sophomore Analyst, Infrastructure Debt Capital Markets, Toronto
BMO
Toronto, ON · FCP
- Full-time
…on-the-job experience, analysts will participate in a one-week training and orientation program. Throughout the summer, the program includes the opportunity to network with bankers across…

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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