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Machine Learning jobs and hiring demand in ON, Canada

Core and required roles are separated from contextual and optional mentions so the headline does not overstate job intent.

Explore Machine Learning by location
ON, Canada

Select up to five markets; results and hiring evidence update together.

46core + required roles74context + optional mentions5remote-friendly▼ -26 this week

Employer concentration

Okta accounts for 45 of 120 mentions (38%). The remaining 75 mentions span other employers.

View without top 1 employer →View without top 3 employers →
Machine Learning market intelligence visualization

Model work connected to product and operational evidence

Machine Learning market guide

Machine-learning demand covers model development, applied engineering, data pipelines, evaluation, platform work, and domain-specific products. The job title alone rarely reveals which part of the lifecycle matters most.

120 live roles18 hiring companies4% remote-friendly

Vacancy evidence map

Where Machine Learning carries hiring weight

Each segment represents roles where Machine Learning was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.

18 Core28 Required55 Supporting19 Optional
46core + required38% of mentions
6.7roles per company18 employers

Market interpretation

What Machine Learning demand means in practice

ApplyDjinn’s evidence tiers help distinguish roles where ML is the product or primary craft from roles where it is supporting context. Companion technologies show whether employers emphasize experimentation, data engineering, deployment, inference, computer vision, NLP, or generative AI.

Strong applications explain the data, baseline, metric, validation approach, deployment boundary, and monitoring plan. Model choice matters, but evidence of reliable evaluation and product impact usually travels farther than an isolated accuracy claim.

Applied MLML platform / MLOpsData scienceAI product engineering

Reading the market

Signals to look for

  • Python, SQL, cloud, data pipelines, and model frameworks form the recurring foundation.
  • MLOps and platform roles emphasize reproducibility, deployment, observability, and cost.
  • Applied roles often value domain data and product judgment alongside modelling depth.

Geographic demand

Top Machine Learning locations

Canada116Ontario, Canada60Toronto, Ontario, Canada60ON, Canada28Toronto, ON, Canada22Toronto, Canada21Montreal, QC, Canada12QC, Canada12

Questions candidates ask

Machine Learning hiring FAQ

What is the difference between AI and machine-learning vacancies?

AI is a broader market label that can include workflow and product roles; ML vacancies more often require model, data, evaluation, or deployment depth.

What portfolio evidence is useful for ML roles?

A reproducible project with a baseline, honest validation, error analysis, deployment considerations, and a clear account of personal contribution.

How Machine Learning appears in job requirements

Inferred from the title and requirement wording in 120 active roles; each role is counted once. Read the methodology.

Posting evidence, not a company-wide stack claim
Main / core
15%(18)
Required
23%(28)
Supporting / context
46%(55)
Nice-to-have
16%(19)

Skills mentioned with Machine Learning

A shared posting does not always require both skills. Explicit alternatives are counted separately.

AI106 together21 both required4 alternativesCloud67 together16 both required1 alternativesScalability65 together5 both requiredPython58 together21 both requiredAWS45 together10 both requiredJava33 together9 both required

Role graph

Roles hiring for Machine Learning

Software Engineering 45Machine Learning & AI 12Product Management 7Data Science 6Project & Program Management 5Sales & Account Management 5Data & AI 3Full-stack Engineering 3

Latest roles mentioning Machine Learning

Senior Machine Learning Engineer

Core

Autodesk — Toronto, ON, Canada

PhD Researcher, AI Research

Context

Autodesk — Toronto, ON, Canada

Product Architect, AI (Auth0)

Context

Okta — Toronto, Ontario, Canada

Staff Product Manager - Developer Productivity

Nice

Okta — Dublin, Ireland; Toronto, Ontario, Canada

Staff Backend Software Engineer, SecureAI

Context

Okta — Toronto, Ontario, Canada

Software Development Engineer, Neuron Explorer

Context

Amazon — Toronto, Ontario, Canada

View all 120 roles mentioning Machine Learning →