Jobs in Ontario

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

175,148 listings · 19,465 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,563 listings), Shoppers Drug Mart (3,517 listings), Walmart Canada (2,807 listings).

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

29,136 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	15,112
CAD / year	80,000.00	11,538
USD / year	100,000.00	727
USD / hour	20.00	589
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 9 hours ago
AT
Senior Java Developer
Aarorn Technologies Inc
Toronto, ON
- $55 CAD / hour
- Contract
Added 9 hours ago
WC
(CAN) Overnight Associate
Walmart Canada
Markham, ON
- Full-time
Added 9 hours ago
CR
Part-Time Receptionist (8 AM to 4 PM)
COGIR Real Estate
Ottawa, ON
- Part-time
Added 9 hours ago
WC
(CAN) Stocking 1 Team Associate
Walmart Canada
Keswick, ON
- Full-time
Added 9 hours ago
CR
Part-Time Receptionist (4PM to 8 PM)
COGIR Real Estate
Ottawa, ON
- Part-time
Added 9 hours ago
SM
Physiotherapist - Full Time
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Added 9 hours ago
MC
Manager, Revenue Accounting & Reporting
Make-A-Wish Canada
Pickering, ON
- Full-time
Added 9 hours ago
WC
Food & Consumables Team Associate
Walmart Canada
Ottawa, ON
- Full-time
Added 9 hours ago
A
Marketing Operations Coordinator, Promotions and Loyalty [AQ-24257]
Aquent
Toronto, ON
- $21 to $23 CAD / hour
- Contract
Added 9 hours ago
CR
Culinary Manager
COGIR Real Estate
Ottawa, ON
- Full-time
Added 9 hours ago
WC
Maintenance Team Associate (Overnight)
Walmart Canada
Mississauga, ON
- Full-time
Added 9 hours ago
WC
(CAN) Stocking 1 Team Associate
Walmart Canada
Ottawa, ON
- Full-time
Added 9 hours ago
WC
(CAN) Asset Protection Operations Team Associate
Walmart Canada
Ottawa, ON
- Full-time
Added 9 hours ago
CR
Active Living Manager
COGIR Real Estate
Ottawa, ON
- Full-time
Added 9 hours ago
WC
Stockperson/Cartpusher
Walmart Canada
Ottawa, ON
- Full-time
Added 9 hours ago
SM
Medical Radiation Technologist (CT & X-Ray)
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Added 9 hours ago
P
Field Interviewer (Door-to-Door Voter Surveys), Toronto Municipal Election
Pollwright
Toronto, ON
- Full-time
Added 9 hours ago
CR
Office Manager
COGIR Real Estate
Ottawa, ON
- Full-time
Added 9 hours ago
G
Quality Manager
Ganotec
Toronto, ON
- Full-time
Added 9 hours ago
US Corporates - Credit Analyst, Director, Retail & Consumer - Toronto
Fitch Group
Toronto, ON
Added 9 hours ago
US Corporates - Credit Analyst, Associate Director - Retail & Consumer - Toronto
Fitch Group
Toronto, ON
Added 9 hours ago
D
Dental Receptionist - Dentistry on Elgin
dentalcorp
Cambridge, ON
- Full-time
Added 9 hours ago
[CA DC FACTOR] Sanitation Associate
HelloFresh
Mississauga, ON
Added 9 hours ago
CI
Primary Care Physician
Calian IT & Cyber Solutions
London, ON
- Full-time
Added 9 hours ago
CC
Advertiser Account Manager
Creative Clicks
Toronto, ON
- Full-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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