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Added 9 mins ago
Data Privacy and Ethics Lead
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Stellarton, NS · Mississauga, ON
Review data usage practices involving automated decision-making, profiling, machine learning, and generative AI solutions.
Added 24 mins ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Title of position: Senior Forward Deployed Engineer
Added 24 mins ago
A
Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
26WD100499, Senior Machine Learning Operations Developer: AI/ML Platform
Added 39 mins ago
DI
Specialist, Actuarial
Definity Insurance Company
Toronto, ON
- Full-time
Experience working with large datasets and applying statistical, actuarial, predictive modeling, or machine learning techniques to generate business insights.
Added 54 mins ago
TA
Decision Science Specialist
Transat AT
Montreal, QC
- Full-time
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical…
Added 1 hour ago
AT
Decision Science Specialist
Air Transat
Montreal, QC
- Full-time
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical…
Added 1 hour ago
K
Staff Technical Program Manager
Kaseya
Vancouver, BC
- Full-time
This is a senior individual contributor role focused on driving execution across data engineering, ML engineering, and applied AI teams - improving delivery predictability, managing complex…
Added 1 hour ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 1 hour ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 1 hour ago
Senior Product Manager, Intelligence
Braze
Toronto, ON
…effectively. We combine the data on the Braze platform with machine learning and statistics to optimize marketers' strategies, inform their decisions, and, where possible, automate those…
Added 1 hour ago
UH
Senior Data Science Analyst
University Health Network
Toronto, ON
- Contract
We seek a talented and driven Data Scientist passionate about accelerating drug discovery through machine learning and AI to join our team at the Structural Genomics Consortium (SGC). As a…
Added 2 hours ago
Staff Technical Program Manager
Kaseya Careers
Vancouver, BC
This is a senior individual contributor role focused on driving execution across data engineering, ML engineering, and applied AI teams - improving delivery predictability, managing complex…
Added 2 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 3 hours ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
…cutting-edge cloud computing, advanced analytics and predictive and machine learning…
Added 3 hours ago
Senior Manager, IT Operations
Canada Infrastructure Bank
Toronto, ON
Experience with Microsoft Dynamics 365 CRM, Dynamics 365 Business Central, Artificial Intelligence, or Machine Learning is an asset
Added 3 hours ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
Model Development & Machine Learning: Lead the end-to-end design, development, and implementation of predictive models, machine learning algorithms, and data modeling techniques using…
Added 3 hours ago
R
Stage - Hiver 2027 - Développement Logiciel Avancé, Méthodes Numériques / Internship - Winter 2027 - Advanced Software Development, Numerical Methods
RTX
Longueuil, QC
- Full-time
Added 4 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 4 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Added 4 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 4 hours ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Added 4 hours ago
GT
Info Sec specialist- CISA,GRC
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $86 to $103 CAD / hour
- Contract
…leading edge solutions (e.g., Artificial Intelligence (AI), Machine Learning (ML), Power BI/Apps, Python,…
Added 4 hours ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 4 hours ago
FS
Python Developer
Futran Solutions
Mississauga, ON
- Full-time
…Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control Plane) and deploying solutions using containerization…
Added 4 hours ago
Senior Product Manager
Range
Toronto, ON
You've shipped a product feature built on AI or machine learning.

Hach

Senior Software Engineer - AI/ML

London, ON, Canada
Vancouver, BC, Canada
CAN - Vancouver - Aquatic Informatics ULC, Canada

$120,000 to $145,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $145,000 CAD / year
Job type: Full-time
Experience: 5+ years of industry experience in designing, building, and operating large-scale, data-intensive, cloud-native applications using microservices architectures on AWS or Azure.
Posting language: English
Posted: Oct 5, 2026

Original job description

Imagine yourself…

Doing meaningful work that makes an everyday impact on the world around you.

Growing your expertise and expanding your skillset with every project.

It’s possible with a role at Aquatic Informatics (https://aquaticinformatics.com/).

Aquatic Informatics (AQI), a Veralto company, is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. We offer a full range of solutions, from standalone software packages for individual users, hosted software services, and enterprise-wide national systems. We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.

Aquatic Informatics is headquartered in Vancouver, Canada and has offices in the US and Australia. We value independent thinking, initiative, teamwork, a relentless pursuit of quality, a playful spirit, and a sense of humor. We like smart people – IQ and EQ – who care about the environment and want to do good in the world. Ours is a unique culture where purpose meets possibility: where the work we do makes a real difference on the world’s valuable water resources, and where you’ll have opportunities to own your ambition and fuel your career growth.

Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics products. These solutions support our customers in leveraging intelligent water technologies to protect the environment and human health. In this role, you will collaborate with an interdisciplinary team of engineers, data scientists, domain experts, and business leaders to design, build, and operate cutting-edge predictive analytics products that leverage AI and ML.

This position is part of the Engineering Team in Vancouver, Canada, and will be Remote, with optional in-office collaboration on Wednesdays.

In this role, a typical day will look like:

Work on cutting edge applications that detect sensor anomalies, digital twins that simulate water treatment plants, and LLM power agents that synthesize water data to deliver critical intelligence to our customers.

Own features end to end: requirements, technical design, implementation, code review, testing, documentation, and troubleshooting.

Build and operate cloud-native services on AWS and Azure that scale with demand.

Write clean and scalable frontend (Angular) and backend (C#) code.

Champion AI adoption and push the boundaries on how AI can automate and accelerate our software development lifecycle processes while following AI governance best practices.

Drive continuous improvement in productivity, quality, and team health.

Manage and enhance development infrastructure, including build and test systems.

Improve testing frameworks and contribute to unit, integration, and end-to-end (E2E) testing.

The essential requirements of the job include:

Post-secondary degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.

5+ years of industry experience in designing, building, and operating large-scale, data-intensive, cloud-native applications using microservices architectures on AWS or Azure.

Experience with modern front-end frameworks such as Angular, React, or Vue.

Strong background in Microsoft development (.NET, C#, and related technologies).

Excellent verbal and written English communication skills

Genuine interest in using AI to accelerate software development.

Hands-on experience with agentic engineering and AI-assisted development workflows.

Preferred skills:

Expertise in database design and development using SQL, Oracle, or PostgreSQL.

Background in environmental science, time series data, IoT, or industrial controls is an asset.

Exposure to data science or machine learning concepts. Deep AI/ML expertise is not required.

Led and mentor junior developers.

Why Join Us?

Permissive paid time off.

Flexible working hours.

Full benefits package Day 1 including medical, dental, and vision coverage.

Corporate Wellbeing Program to support your health and wellness.

Retirement savings plan with company matching to secure your future.

Career coaching and development opportunities to help you grow professionally.

Aquatic Informatics is proud to be part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™ - and building rewarding careers along the way.

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $120,000.00 - $145,000.00 CAD per year. This job is also eligible for Bonus Pay.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Virtual interviews may be transcribed using an AI-enabled note-taking tool to assist with interview documentation. Hiring decisions are made by human interviewers.

Final candidates may be required to attend an in-person interview at our Vancouver facilities.

This position is for an existing role within our team.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

If you’ve ever wondered what’s within you, there’s no better time to find out.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

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More about this job

Responsibilities

The Senior Software Engineer will design, build, and operate predictive analytics products using AI and ML technologies. They will own features end-to-end, including technical design, implementation, testing, and cloud-native service management.

Requirements

Candidates must have a post-secondary degree in a technical discipline and at least 5 years of experience in large-scale, cloud-native application development. Proficiency in C#, .NET, and modern frontend frameworks like Angular is required, along with a strong interest in AI-assisted development.

Skills

Software engineering
Predictive analytics
AI
ML
Cloud-native applications
AWS
Azure
Microservices
Angular
C#
.NET
SQL
Oracle
PostgreSQL
Data science
IoT

Benefits

Paid time off
Medical coverage
Dental coverage
Vision coverage
Corporate wellbeing program
Retirement savings plan
Company matching
Career coaching
Development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Predictive Analytics
AI
ML
Cloud-native
AWS
Azure
Microservices
Angular
C#
.NET
SQL
Oracle
PostgreSQL
IoT
Data Science
Digital Twins
LLM
Unit Testing
Integration Testing
E2E Testing
Water Data
Environmental Science
Agentic Engineering

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