Saskatchewan Machine learning engineer Jobs – 102 Openings This Week

Analytics Engineer, Network Intelligence
Xplore Inc —Saskatchewan
- Full-time
- Remote
- Computer Science
- Data analysis skills
- SQL
Quick apply
Systems Analyst, Information Technology
Regina Public Library —Regina, SK
- $64,523.55–$76,794.90 a year
- Full-time
- Azure
- Computer Science
- AWS
12d
Cybersecurity Lead
Virtual Health Hub —Saskatoon, SK
- $105,000–$130,000 a year
- Full-time
- Computer Science
- PMP
- DevOps
- Wellness program
- Disability insurance
Quick apply
12d
Senior Data Engineer
iQmetrix —Regina, SK
- From $110,000 a year
- Full-time
- Hybrid work
- Engineering
- SQL
- In-person
- Paid time off
Quick apply
17h
Senior Software Engineer - Backend
Aircall —Madrid, SK
- Full-time
- Spanish
- DevOps
- English
Quality Control Inspector
Worley —Saskatoon, SK
- Full-time
- Microsoft Word
- Microsoft Excel
- High school diploma or GED
6d
Proposal Lead
March Consulting LP —Saskatoon, SK
- Monday to Friday
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Dental care
- Paid sick leave
7d
Senior Accountant, Audit
KPMG —Saskatoon, SK
- Full-time
- Microsoft Excel
- Project management
- Accounting
Software Developer
Quill Lake Grocery Store —Quill Lake, SK
- $48.50 an hour
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply
7d
Staff AI Software Engineer
Aircall —Madrid, SK
- $80,000–$120,000 a year
- Full-time
- AWS
- Software development
- APIs
Senior Accountant, Audit (Regina)
Deloitte —Regina, SK
- $57,000–$97,000 a year
- Hybrid work
- English
- Research
- Bachelor's
Site Safety Coord / Warehouse Specialist
Nutrien Ag Solutions (Canada) —Saskatoon, SK
- $56,400–$104,700 a year
- Full-time
- Heavy lifting
- Microsoft Office
- Databases
Front End / Fullstack Engineer - Messaging Team
Aircall —Madrid, SK
- Full-time
- Hybrid work
- English
- Databases
- AWS
Software engineer, Programmable Comms
Aircall —Madrid, SK
- Full-time
- English
- AWS
- Communication skills
5d
Staff Software Engineer
Aircall —Madrid, SK
- Full-time
- DevOps
- System design
- AWS
1d
Staff Backend & AI Engineer, Madrid
Aircall —Madrid, SK
- Full-time
- Java
- AWS
- AI
- Dental care
- Paid time off
Technical Product Manager
Pholaze Construx Projects Incorporated —Saskatoon, SK
- $72,000.00–$119,331.49 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Sales
- Relocation assistance
- Dental care
Quick apply
Specialist, Solutions Architecture
SaskEnergy —Regina, SK
- $92,716–$132,958 a year
- Full-time
- Azure
- Computer Science
- DevOps
Learning Content Creator
Brandt —Regina, SK
- Bilingual
- Project management
- AI
Quick apply
Software Engineering Manager
Aircall —Madrid, SK
- Full-time
- Azure
- DevOps
- AWS

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machine learning engineer jobs near saskatchewan

Analytics Engineer, Network Intelligence

Xplore Inc -
Saskatchewan

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Job details

Full-time

Qualifications

Looker
Data modeling
Computer Science
Data analysis skills
Mathematics
Information Systems
SQL
Presentation skills
Bachelor's
Scripting
Computer networking
Telecommunication
Unity
AI
Communication skills
Python
Analytics

Full job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

Role Overview

As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve analytics that engineering, operations, and leadership teams rely on daily.

You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical network intelligence across Fiber, Fixed Wireless, and Satellite domains. This role is not limited to cloud migration work: it also requires designing, building, and operating analytical datasets, transformations, and reporting assets directly on-prem where business and operational needs require it. Unlike a pure data engineer who focuses on pipeline infrastructure, or a data scientist focused on modeling, your specialty is making data reliable, understood, and usable by the widest possible audience: you own metric definitions, dashboard governance, and the translation of operational data needs into clean, documented analytical assets.

Key responsibilities include:

Define, document, and maintain canonical KPI and metric definitions for network health, incident volume, capacity utilization, and customer experience indicators in Unity Catalog.
Build and own the semantic layer (Databricks AI/BI datasets) underpinning self-serve analytics for network operations, engineering, and leadership stakeholders.
Design and build operational and executive dashboards in Databricks AI/BI covering real-time network health, incident trends, performance benchmarks, and customer impact metrics.
Develop automated alerting and correlation views that reduce noise for network operations teams and accelerate root cause identification.
Build curated Gold-tier analytical tables and transformation layers across both on-prem and cloud platforms using SQL and PySpark, applying business logic, aggregations, and dimensional modeling patterns.
Implement data quality checks and automated validation to ensure analytical outputs are accurate before reaching business consumers.
Partner with Data Engineers to surface upstream data quality issues and define requirements for Silver-to-Gold transformations.
Act as the subject matter expert for network and operations data consumers, supporting self-serve analytics adoption across engineering and ops teams.
Produce clear data dictionaries, lineage documentation, and onboarding guides for all owned analytical assets.
Support executive-level reporting with accurate, clearly structured KPI outputs tied to network quality and customer experience.

The ideal candidate will possess:

5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment.
Expert SQL skills: complex analytical queries, window functions, dimensional modeling, and metric grain definitions at scale.
Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery+ Looker or dbt).
Strong understanding of data modeling concepts: star schema, slowly changing dimensions, and single-source-of-truth metric governance.
Demonstrated ability to translate ambiguous business questions into well-defined analytical datasets and dashboard specifications.
Proficiency in Python for lightweight transformations and pipeline scripting.
Excellent written and verbal communication skills; comfort presenting analytical findings to Director and VP-level audiences.

Preferred Qualifications:

Experience building and supporting analytics or transformation layers on-prem as well as in Databricks/cloud environments; not limited to migration initiatives.
Background in network operations, telecommunications, or infrastructure analytics.
Familiarity with Grafana, Datadog, or Prometheus as complementary network observability tools.
Experience designing role-based access controls and data governance frameworks in a cloud or on-prem data platform.
Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field.

Condition of Employment:

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Quick apply

Refine Your Search

machine learning engineer jobs in saskatchewan

Analytics Engineer, Network Intelligence

Systems Analyst, Information Technology

Cybersecurity Lead

Senior Data Engineer

Senior Software Engineer - Backend

Quality Control Inspector

Proposal Lead

Senior Accountant, Audit

Software Developer

Staff AI Software Engineer

Senior Accountant, Audit (Regina)

Site Safety Coord / Warehouse Specialist

Front End / Fullstack Engineer - Messaging Team

Software engineer, Programmable Comms

Staff Software Engineer

Staff Backend & AI Engineer, Madrid

Technical Product Manager

Specialist, Solutions Architecture

Learning Content Creator

Software Engineering Manager

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