Jobs in Ontario

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

174,568 listings · 19,384 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,560 listings), Shoppers Drug Mart (3,505 listings), Walmart Canada (2,807 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

28,956 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	15,009
CAD / year	80,000.00	11,463
USD / year	100,000.00	727
USD / hour	20.00	587
CAD / month	4,304.00	44
CAD / week	750.00	27
CAD / day	28.00	11

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 14 hours ago
PC
Cloud Infrastructure Engineer, Senior Associate
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
Added 14 hours ago
BG
Parts Person
Brandt Group of Companies
Hearst, ON
- Full-time
Added 14 hours ago
RM
RPN Registered Practical Nurse
Ross Memorial Hospital
Kawartha Lakes, ON
- Temporary
Added 14 hours ago
RM
Environmental Services I
Ross Memorial Hospital
Kawartha Lakes, ON
- Temporary
Added 14 hours ago
CC
Greeting Card Merchandiser (PT) - Front Street
Carlton Cards
Toronto, ON
- Part-time
Added 14 hours ago
LC
Beauty Specialist, Hourly Part Time Flexible Shifts
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 14 hours ago
MG
Environmental Aide (Support Services)
Michael Garron Hospital
Toronto, ON
- Part-time
Added 14 hours ago
AC
Housekeepers- Remote Lodge Chapleau, ON
Aramark Canada
Chapleau, ON
- Full-time
Added 14 hours ago
AC
Housekeeper- Remote Lodge, WAWA, ON
Aramark Canada
Wawa, ON
- Full-time
Added 14 hours ago
ZC
Financial Lines Fall Intern/Co-op - Winter 2027
Zurich Canada
Toronto, ON
- Full-time
Added 14 hours ago
NF
Grocery Clerk Part Time Evening
No Frills
Elliot Lake, ON
- Part-time
Added 14 hours ago
AC
General Maintenance Worker- Remote Lodge Chapleau, ON
Aramark Canada
Chapleau, ON
- Full-time
Added 14 hours ago
NF
Cashier Part Time Evening
No Frills
Elliot Lake, ON
- Part-time
Added 14 hours ago
C
Senior Director, Transaction Management
CBRE
Toronto, ON
- Full-time
Added 14 hours ago
B
Conseiller expert stratégie d’entreprise et innovation
Beneva
Toronto, ON
- Full-time
Added 14 hours ago
SM
Gift Processing & Administration Coordinator
St. Michael's Hospital
Toronto, ON
- Full-time
Added 14 hours ago
JG
Product Manager
J&M Group
Toronto, ON
- Contract
Added 14 hours ago
UH
Clinical Extern, Nursing
Unity Health Toronto
Toronto, ON
- Temporary
Added 14 hours ago
AS
Business Process Integrator
Alquemy Search & Consulting
Toronto, ON
- Full-time
Added 14 hours ago
JG
Senior Guidewire ClaimCenter Integration Developer
J&M Group
Toronto, ON
- Full-time
Added 14 hours ago
C
Telecom Network Solution Architect
CGI
Toronto, ON
- Full-time
Added 14 hours ago
T
Cloud Architect
Tangerine
Toronto, ON
- Full-time
Added 14 hours ago
DG
Wash Attendant
Dilawri Group of Companies
Mississauga, ON
- Part-time
Added 14 hours ago
C
AI Strategist
Cognizant
Toronto, ON
- Full-time
Added 14 hours ago
L
Seasonal Educator | Toronto Premium Outlet (Contract until Jan 2027)
lululemon
Halton Hills, ON
- Part-time

Apptoza Inc.

Python Developer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Title: Forward Deployed Engineer (Python/Pyspark Developer)

Location: Toronto, ON

Duration: Fulltime (Hybrid)

Requirement: Immediate

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 embed with business users, client SMEs, 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

Embed with client SMEs, 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 client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

Build thin working solutions using real client 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 client SMEs, measure model and LLM quality, perform structured error analysis, and prioritize improvements.

Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with client 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.

BFSI 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.

In addition to your confirmation, please provide us with your most recent updated resume. We also require the following details from you:

Apply About employer

More about this job

Responsibilities

Embed with client teams to understand workflows and data, validate solutions using real data, and deliver enterprise AI and data applications from prototype through production launch. Build and operate data pipelines and AI workflows, manage production reliability and optimization, measure adoption and business impact, and complete structured handovers.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with strong hands-on skills in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. Candidates should have experience with Claude and generative AI patterns, enterprise data pipelines and security, and client-facing delivery; a relevant bachelor's degree is required, while relevant certifications are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Pandas
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
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
BFSI
Monitoring
Data Lineage

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