Mississauga, On Geospatial engineer Jobs – 15 Openings This Week

Machine Learning Engineer
Themis —Mississauga, ON
- $85,000–$135,000 a year
- Full-time
- Computer Science
- Engineering
- Databases
Quick apply
GIS / CAD / Reality Capture Specialist
Kenaidan Contracting Ltd —Mississauga, ON
- $75,000–$100,000 a year
- Full-time
- AutoCAD
- Civil engineering
- Schematics
Quick apply
Infrastructure & Capital Projects - GIS Specialist, COM
Accenture —Toronto, ON
- $100,000–$145,000 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- CAD
Frontend Software Engineer
Themis Intelligence —Mississauga, ON
- $85,000–$115,000 a year
- Full-time
- Management
- Computer Science
- Engineering
Quick apply
Hydroinformatics Engineer
Xylem —Toronto, ON
- $100,000–$135,000 a year
- Full-time
- Engineering
- English
- Bachelor's
- Dental care
- Paid time off
Frontend Engineer
Ecopia Tech —Toronto, ON
- $100,000–$130,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Databases
Quick apply
Backend Engineer
Ecopia Tech —Toronto, ON
- $100,000–$130,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Java
Quick apply
PLAA Manager
Aecon Group —Toronto, ON
- $125,000–$150,000 a year
- Microsoft Excel
- Engineering
- Organizational skills
- Dental care
3d
Electronics Engineer - Circuit & Sensor
Dominion Dynamics —Toronto, ON
- Full-time
- Schematics
- Engineering
- Laboratory experience
Sr PLAA Specialist
Aecon Group —Toronto, ON
- $80,000–$95,000 a year
- Microsoft Excel
- Engineering
- Organizational skills
- Dental care
3d
Lead Software Development Engineer (ElectrifiedGrid)
Deloitte —Toronto, ON
- $105,000–$175,000 a year
- Hybrid work
- DevOps
- AWS
- Recruiting
Senior Analytics Engineer
Avison Young Canada —Toronto, ON
- $100,000–$105,000 a year
- Full-time
- SQL
- Analysis skills
- Bachelor's
Research Scientist
Chelsea Avondale —Toronto, ON
- Remote
- Doctoral degree
- Research
- Master's degree
Quick apply
Senior Data Scientist
Geotab —Oakville, ON
- $113,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Dental care
Sr. Data Architect - GOAPRDJP00000616
Source Code —Toronto, ON
- Full-time
- Azure
- Computer Science
- SQL
Quick apply

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Machine Learning Engineer

Themis -
Mississauga, ON

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Job details

Permanent | Full-time
$85,000–$135,000 a year

Qualifications

TensorFlow
Computer Science
PyTorch
Engineering
System architecture
Mathematics
Databases
Bachelor's
Machine learning
AI
Python

Full job description

Machine Learning Engineer

About Themis Intelligence

Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate.

Our systems transform complex operational data into clear, high-confidence decisions. We design software that empowers grid professionals to think faster, act decisively, and operate with precision in critical environments. Every product we ship is built for real-world performance: reliable, observable, and secure from day one.

About the Role

As a Machine Learning Engineer, you will contribute to the development of advanced intelligence systems that power modern utility operations. We work at the frontier of applied AI, building models and data systems that integrate time-series data, geospatial signals, and scalable infrastructure to support critical grid environments.

This role goes beyond experimentation. You will work across the full lifecycle of machine learning systems, contributing to architecture decisions, implementing production-grade pipelines, and deploying models through mature MLOps practices across both cloud and on-premises environments. We emphasize evidence-based development, benchmark validation, and operational reliability from day one.

In this role, you will

Develop and deploy machine learning and deep learning models for time-series forecasting, anomaly detection, and geospatial intelligence
Contribute to the design of ML system architecture, ensuring scalability, reproducibility, and long-term maintainability
Build and maintain end-to-end MLOps pipelines, including data ingestion, training workflows, validation, model registry, CI/CD integration, and monitoring
Deploy and support models across cloud-native and on-premises infrastructure with production-grade reliability
Work with incomplete, noisy, and large-scale datasets, applying techniques such as backfilling, dimensionality reduction (e.g., PCA), feature engineering, and statistical validation
Design benchmarking frameworks and controlled experiments to evaluate model performance rigorously
Apply foundation model concepts and pre-trained architectures thoughtfully within domain-specific constraints
Ensure models are observable, versioned, and continuously evaluated in live environments
Write clean, testable, and well-documented code, participating in code reviews and structured engineering workflows
Move quickly but deliberately, prioritizing correctness, reproducibility, and operational robustness over shortcuts

You might thrive in this role if you

A Bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics, or a related technical field, or equivalent practical experience building and deploying production ML systems
3+ years of professional experience in machine learning or applied AI
Strong foundations in time-series modeling, statistical methods, and deep learning
Experience working with geospatial data or spatial modeling systems
Hands-on experience handling missing data, high-dimensional datasets, or large-scale data environments
Experience contributing to ML system architecture and deploying models via structured MLOps workflows
Familiarity with cloud platforms and containerized environments, as well as constraints of on-premises deployments
Comfortable working within Python-based ML ecosystems (e.g., PyTorch, TensorFlow, scikit-learn) and modern data tooling
Evidence-driven and benchmark-oriented, preferring measurable improvements over intuition alone
Collaborative, technically curious, and comfortable operating in fast-moving but high-reliability environments
Disciplined in documentation, testing, reproducibility, and engineering rigor

Bonus

Experience with foundation models, transfer learning, or fine-tuning pre-trained architectures
Exposure to transformer-based or foundation approaches for time-series forecasting
Experience with real-time inference systems or streaming data pipelines
Familiarity with time-series databases, vector databases, or feature stores
Experience integrating LLMs or building agentic systems
Background in utilities, energy systems, or other high-reliability industrial domains

This is a full-time, permanent hybrid role (four days in-office) reporting directly to the Technology Director. The salary range for this role is $85,000–$135,000. Interested candidates are invited to submit their cover letter and resume.

Themis Intelligence values a diverse workplace and strongly encourages women, people of all races, color, creed, ancestry, ethnic origin, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, marital status, family status, and those with disabilities to apply. We use AI tools to help streamline parts of our recruitment process, but every application is reviewed by a member of our team. Themis is an equal opportunity employer. We are committed to providing accommodations for persons with disabilities. If you require accommodation, we will work with you to meet your needs. While we appreciate the interest of all applicants, only those selected for an interview will be contacted.

Quick apply

Refine Your Search

geospatial engineer jobs in mississauga, on

Machine Learning Engineer

GIS / CAD / Reality Capture Specialist

Infrastructure & Capital Projects - GIS Specialist, COM

Frontend Software Engineer

Hydroinformatics Engineer

Frontend Engineer

Backend Engineer

PLAA Manager

Electronics Engineer - Circuit & Sensor

Sr PLAA Specialist

Lead Software Development Engineer (ElectrifiedGrid)

Senior Analytics Engineer

Research Scientist

Senior Data Scientist

Sr. Data Architect - GOAPRDJP00000616

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