Jobs in Ontario (212,315 jobs)

Jobs across Ontario, Canada. Choose a city or town to search nearby.

212,315 listings · 21,265 employers Counted Nov 8, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,407 listings), Shoppers Drug Mart (4,198 listings), Walmart Canada (3,539 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

34,355 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	18,349
CAD / year	80,000.00	14,640
USD / year	155,000.00	86
CAD / month	4,054.00	68
CAD / week	1,500.00	46
CAD / day	101.00	23
USD / hour	20.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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Added 1 hour ago
BC
Medical Radiation Technologist
Brant Community Healthcare System
Brantford, ON
- Full-time
Added 1 hour ago
BC
Communication Assistant
Brant Community Healthcare System
Brantford, ON
- Full-time
Added 1 hour ago
O
Chief Compliance Officer
Objectway
Toronto, ON
- $180,000 to $200,000 CAD / year
- Full-time
Added 1 hour ago
Vehicle Shuttler
Clutch Technologies Inc.
Toronto, ON
Added 1 hour ago
Vehicle Inspector
Clutch Technologies Inc.
Toronto, ON
Added 1 hour ago
Arrivals Vehicle Inspector
Clutch Technologies Inc.
Toronto, ON
Added 1 hour ago
S
Bilingual Relocation Advisor 1 (French/English)
Sirva
Ottawa, ON
- $21.63 CAD / hour
Added 1 hour ago
Senior GRC Specialist
OCS Ontario Cannabis Store
Toronto, ON
Added 1 hour ago
Assistant Educator - Infant Program
Upper Canada Child Care
New Tecumseth, ON
Added 1 hour ago
Assistant Educator - Casual Supply
Upper Canada Child Care
New Tecumseth, ON
Added 1 hour ago
YI
Sales Development Representative
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
Added 1 hour ago
SD
Merchandiser, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Picton, ON
- Part-time
Added 1 hour ago
SD
Merchandiser, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Pembroke, ON
- Part-time
Added 1 hour ago
SD
Front Store Supervisor, Hourly Full Time Flexible Shifts
Shoppers Drug Mart
Woodstock, ON
- Full-time
Added 1 hour ago
SD
Pharmacy Assistant, Hourly Full Time Day Greenlight Requisition
Shoppers Drug Mart
London, ON
- Full-time
Added 1 hour ago
SD
Pharmacy Intern, Hourly Full Time Flexible Shifts
Shoppers Drug Mart
Toronto, ON
- Full-time
Added 1 hour ago
W
(CAN) Overnight Associate
Walmart
Dryden, ON
- Full-time
Added 1 hour ago
W
(CAN) Part-Time Stock Unloader Associate
Walmart
Stratford, ON
- Part-time
Added 1 hour ago
SS
Care Manager
Sunrise Senior Living
Burlington, ON
- Part-time
Added 1 hour ago
LC
Grocery Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Ottawa, ON
- Part-time
Added 1 hour ago
LC
Cashier Part Time Day
Loblaw Companies Limited
ON
- Part-time
Added 1 hour ago
LC
Cashier Part Time Day Greenlight Requisition
Loblaw Companies Limited
Vaughan, ON
- Part-time
Added 1 hour ago
LC
Grocery Clerk Part Time Night
Loblaw Companies Limited
Oshawa, ON
- Part-time
Added 1 hour ago
LC
Cashier Part Time Evening
Loblaw Companies Limited
Kingston, ON
- Part-time
Added 1 hour ago
LC
Personal Shopper Part Time Day
Loblaw Companies Limited
Waterloo, ON
- Part-time

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

The Opportunity

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 will work closely with business users, subject matter experts, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What You Will Do

Work with subject matter experts, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.
Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build working solutions using real data and APIs, validate them with users, and iteratively harden them for production.
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Design batch, real-time, and streaming data pipelines and integrations across enterprise systems.
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Create evaluation datasets with subject matter experts, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with technical teams.
Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.
Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What You Bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.
Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.
Experience operationalizing MLOps/LLMOps, including model lifecycle management, automated deployment, monitoring, rollback, and production support.
Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.
Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable designs, define non-functional requirements, estimate effort, and drive implementation.
Financial services experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.
Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

Apply About employer

More about this job

Responsibilities

Partner with business users, subject matter experts, and engineering teams to understand workflows, assess real-world data, and deliver enterprise AI and data applications from prototype through production launch. Operate and improve deployed solutions by managing pipelines, model quality, monitoring, incidents, performance, adoption, and handover.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. A relevant bachelor's degree, financial services experience, and strong client-facing skills are required; relevant cloud, Kubernetes, AI, data, architecture, MLOps, or security certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Client-Facing Consulting
Financial Services

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
Financial Services
Model Monitoring
Data Lineage
Incident Management

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