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Added 14 days ago
Cybersecurity Firmware Engineer
indie
Toronto, ON
The Senior Cybersecurity Firmware Engineer is responsible for the security architecture and secure implementation of firmware running on indie’s SoCs. In this role, you will partner with…
Added 15 days ago
Microsoft Consultant
eSentire
Canada
Added 15 days ago
AI Engineer
NetBrain
Toronto, ON
We’re looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines…
Added 15 days ago
Sr. Solutions Engineer, Canada (Ontario)
SentinelOne
Canada
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud,…
Added 15 days ago
AI
Test & Verification Engineer
Aversan Inc.
Toronto, ON
- $45,000 to $50,000 CAD / year
- Full-time
We are currently seeking a qualified Integration & Test Engineer to join our team. The successful candidate will support Integration, Test & Verification (ITV) activities for complex,…
Added 15 days ago
Y
PCI Sales Engineer
Yokogawa
NB · Chiasson Office, NB
- Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 15 days ago
Y
Proposal Engineer
Yokogawa
NB · Chiasson Office, NB
- Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 15 days ago
Y
Proposal Engineer
Yokogawa
NB · Chiasson Office, NB
- Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 15 days ago
Y
FIELD SERVICE ENGINEER
Yokogawa
BC · Columbia-Shuswap C, BC
- Full-time
…transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure…
Added 15 days ago
AI
Software Test Engineer
Aversan Inc.
London, ON
- $85,600 to $107,000 CAD / year
- Contract
We are currently seeking a qualified Software Test Engineer to join our team. The successful candidate will be responsible for the planning, development, and execution of software…
Added 15 days ago
C
Responsable - Plateforme IA (Lead AI Platform Engineer)
CGI
Montreal, QC
- Full-time
In this context, the PSC is creating a new Lead AI Platform Engineer position. The role will be responsible for structuring and evolving our AI capabilities, both on-premises and in the…
Added 15 days ago
AS
SCADA Engineer
Arrow Speed Controls
Mississauga, ON
- Full-time
…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
Added 3 months ago
VL
Linux Engineer
Valence, LLC
Engineer, BC
- Full-time
Description: The Linux Engineer analyzes user’s requirements, concept of operations documents, and high level system architectures to develop system requirements specifications. Analyzes…
Added 15 days ago
CC
Cloud Engineer
CDW Canada
Vancouver, BC · Greater Vancouver, BC
- Contract
One of CDW's Clients is seeking to engage a Cloud Engineer for a 6-month contract with opportunity to extend.
Added 16 days ago
TC
Unified Communications & Telephony Specialist (Temporary, approximately 24 months)
The City of Guelph
Guelph, ON
- Other
Work closely with the IT Infrastructure and Cybersecurity teams to ensure alignment with network, security, and operational standards.
Added 15 days ago
C
Senior Telecom Drafter
CIMA+
Vancouver, BC
- Full-time
…systems, and engineering projects. Leveraging expertise in cybersecurity, telecommunications, IT/OT convergence, intelligent automation, software and systems engineering, and systems…
Added 15 days ago
C
Telecom Drafter
CIMA+
Vancouver, BC
- Full-time
…systems, and engineering projects. Leveraging expertise in cybersecurity, telecommunications, IT/OT convergence, intelligent automation, software and systems engineering, and systems…
Added 15 days ago
C
Telecom Drafter
CIMA+
Vancouver, BC
- $63,520 to $87,340 CAD / year
- Full-time
…systems, and engineering projects. Leveraging expertise in cybersecurity, telecommunications, IT/OT convergence, intelligent automation, software and systems engineering, and systems…
Added 15 days ago
C
Senior Telecom Drafter
CIMA+
Vancouver, BC
- $68,960 to $94,820 CAD / year
- Full-time
…systems, and engineering projects. Leveraging expertise in cybersecurity, telecommunications, IT/OT convergence, intelligent automation, software and systems engineering, and systems…
Added 16 days ago
C
AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Ability to work collaboratively with Architecture, Cybersecurity, IAM, Network, Operations, Finance, and application teams.
Added 16 days ago
S
Information and Commiunications Technology Engineer/Designer
Stantec
Toronto, ON
- Full-time
Stantec is seeking an intermediate Information and Communications Technology (ICT) Engineer or Designer to join our multidisciplinary Buildings team. The successful candidate will provide…
Added 1 month ago
MC
Director of Engineering
Mission Control Space Services
Ottawa, ON
- Full-time
Ensure compliance with applicable quality, safety, cybersecurity, and regulatory requirements.
Added 16 days ago
Network Solution Architect
Mariner
NB
…problems. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our…
Added 16 days ago
Network Solution Architect
Mariner
NB · NS
…problems. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our…
Added 16 days ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
…Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…

Insight

Sr. Machine Learning Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

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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