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Added 17 days ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
Make an impact at Ciena as a Test Engineer in the New Production Introduction (NPI). In this role, you will be responsible for defining test strategies and enabling manufacturing readiness…
Added 16 days ago
SDET Contractor
PlayStation Global
Waterloo, ON
…experiences under the PlayStation brand, a name synonymous with entertainment excellence and…
Added 16 days ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
Make an impact at Ciena as a Test Engineer in the New Production Introduction (NPI). In this role, you will be responsible for defining test strategies and enabling manufacturing readiness…
Added 16 days ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 16 days ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…operational resilience. Our technology teams partner closely with treasury business users, testing leads, business systems analysts, engineers, and platform teams to deliver trusted data…
Added 17 days ago
BS
Software Engineer
Beacon Software
Toronto, ON
- Full-time
1–4 years of full-time software engineering experience with strong fluency in Python, TypeScript, or Go
Added 16 days ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
We are seeking a highly skilled Senior QA Automation Engineer with strong Java, Selenium, and AI experience.
Added 17 days ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Imagine working for a company with customers including NASA, Bombardier, ABB, EMBRAER, MIT, GE, Ford, GM, NREL and Hydro-Québec! OPAL-RT’s ambitious challenge is to fully democratize…
Added 17 days ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS)…
Added 16 days ago
K
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
- Full-time
…offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional…
Added 17 days ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
…a Copilot or agentic AI engagement, and comfortable enough with Microsoft Fabric to qualify a data modernization opportunity and recognize when to pull in a specialist. Consultative…
Added 1 month ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 16 days ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
(The team are working exclusively with Caspian One to build out this team)
Added 17 days ago
D
Lead Data/Analytics Engineer
dutch
Vancouver, BC
- Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 17 days ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
…make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance…
Added 19 days ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 17 days ago
SE
Senior Software Engineer
Soma Energy
Remote, Canada
- Full-time
- Remote
You're a strong backend engineer with 7+ years of software experience, and you're extremely proficient in one or more languages such as Python, Go, Rust, or C++.
Added 17 days ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Lead Power System Engineer. This role is based in our Eaton Americas Innovation Center in Brossard,…
Added 17 days ago
V
Full-Stack Software Engineer
Viggle
Toronto, ON
- Full-time
Full-Stack Software Engineer new graduate - AI & 3D Creator Tools
Added 18 days ago
Q
Audio/Edge AI Silicon Validation and Firmware Engineer
Qualcomm
Markham, ON
- Full-time
An ideal candidate is an embedded Firmware Engineer interested in helping to validate and develop world-class low power audio and AI solutions. Replacement Position
Added 17 days ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
Production Python. Type-annotated, tested, packaged. Comfortable with pandas, NumPy, scikit-learn, and the GEAP SDK. Familiar with KFP DSL for pipeline authoring.
Added 17 days ago
M
Search Engineer
Mendable
Toronto, ON
- $235,000 to $260,000 USD / year
- Full-time
…at web scale, and the modern web actively resists automation with detection systems, challenge flows, and fingerprinting that evolve weekly. This role is equal parts research and…
Added 17 days ago
Lead Software Engineer II (Node JS)
Momentum Financial Services Group
Toronto, ON
We’re hiring a Lead Software Engineer, Backend & Cloud Platform, to help own and operate Integration Hub, an AWS-based integration platform supporting Integration with Internal & External…
Added 18 days ago
RB
Staff AI Application Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…& Security domains. This is an individual contributor role with no direct reports. You'll build the backend services that power autonomous and semi-autonomous AI agents, and work closely…
Added 18 days ago
S
Senior Solutions Engineer
Suger.io
Vancouver, BC
- $120,000 to $160,000 CAD / year
- Full-time
…across multiple cloud providers. Suger removes this complexity with an API-first revenue platform that powers quote-to-cash and marketplace workflows at…

Insight

Sr. Machine Learning Engineer

Remote, Canada

Remote

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 16, 2026

Original job description

Requisition Number: 106424

Senior Machine Learning Engineer

Location:

You will have the flexibility to work fully remotely.

Insight at a Glance

14,000+ engaged teammates globally
$8.2 billion in revenue in 2025
Certified as a Great Place to work in 9 Countries in 2025
Fortune 500 Company (No. 447) in 2025
Received 25+ industry and partner awards in the past year
$1.4M+ total charitable contributions in 2024 by Insight globally

Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.

About the role

As an Senior Machine Learning Engineer, you will lead the modeling work on enterprise engagements where ML models are often integrated directly into multi-agent systems. We will count on you to span data exploration, feature engineering, model development across multiple business segments, integration into agent response loops, and operating the full MLOps lifecycle on Gemini Enterprise Agent Platform (GEAP). Along the way, you will get to:

Build anomaly detection and regression models. Develop end-to-end pipelines that check data quality, engineer features, train, tune and evaluate models, and perform either batch or online inference.
Migrate legacy ML workloads onto GEAP (formerly known as Vertex AI). Translate existing models from platforms such as Dataiku or SageMaker into KFP-based pipeline templates on GEAP.
Own drift detection and retraining. Implement input and output distribution shift detection and accuracy regression checks. Define per-model thresholds and retraining cadence, set up alerting and logic for decisions on when to re-train a model. Ensure retraining deploys through the standard CD pipeline with canary, approval gate, and automated rollback.
Register everything. Ensure every model is registered in GEAP Model Registry with model cards capturing ownership, lineage, evaluation results, and lifecycle state.
Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

What we’re looking for

5+ years applied ML engineering, with at least 2 years productionizing models at scale. You have shipped models that real users or downstream systems depend on, not just notebooks.
Deep GEAP experience. Model Registry, Pipelines (KFP), Experiments, Feature Store, and Workbench. You can stand a project up from zero, not just consume an existing one.
Strong regression and anomaly detection chops. Gradient boosting (XGBoost / LightGBM / CatBoost), classical statistical anomaly methods (IQR, isolation forests, robust z-scores), and at least one deep approach (autoencoders, normalizing flows). You can defend an architecture choice with empirical results, not preferences.
Production Python. Type-annotated, tested, packaged. Comfortable with pandas, NumPy, scikit-learn, and the GEAP SDK. Familiar with KFP DSL for pipeline authoring.

The base salary range for this position is typically $140,000 CAD to $160,000 CAD with additional bonus and benefits available. However, compensation decisions are dependent on the facts and circumstances of each case, including experience and location, and we will also consider candidates outside of this range as necessary.

What you can expect
We’re legendary for taking care of you, your family and to help you engage with your local community.

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!

Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.

Posting Notes: Any City/Province in Canada || Alberta (CA-AB) || Canada (CA) || Data & AI || None || CA - Calgary, AB ||

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More about this job

Responsibilities

The Senior Machine Learning Engineer will lead modeling work for enterprise engagements, integrating ML models into multi-agent systems. Responsibilities include building end-to-end pipelines, managing the MLOps lifecycle on the GEAP platform, and performing model retraining and drift detection.

Requirements

Candidates must have 5+ years of applied ML engineering experience, including at least 2 years of productionizing models at scale. Proficiency in Python, GEAP, and various machine learning frameworks like XGBoost and Scikit-learn is required.

Skills

Machine Learning
MLOps
Python
GEAP
Vertex AI
KFP
Anomaly detection
Regression
Data engineering
Feature engineering
XGBoost
LightGBM
CatBoost
Pandas
NumPy
Scikit-learn

Benefits

Bonus
Remote work flexibility

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Python
GEAP
Vertex AI
KFP
Anomaly detection
Regression
Data engineering
Feature engineering
XGBoost
LightGBM
CatBoost
Pandas
NumPy
Scikit-learn
Cloud
Data
AI
Cybersecurity
Intelligent edge
Model registry
Batch inference
Online inference
Drift detection
CD pipeline
Canary deployment
Dataiku
SageMaker
Autoencoders

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