Staff Software Engineer - Machine Learning

Hach; London; Remote; CAD 120,000 - 185,000; Full time

Job summary

A leading company dedicated to innovative water data management is seeking a Staff Software Engineer specializing in Machine Learning. This role involves leading technical development for predictive analytics products and collaborating with an interdisciplinary team to impact environmental protection and human health through technology. The position offers remote work flexibility, competitive compensation, and contributions to meaningful projects that safeguard vital resources.

Benefits

Permissive paid time off

Full benefits package from Day 1

Corporate Wellbeing Program

Retirement savings plan with matching

Career coaching and development opportunities

Qualifications

• Minimum 7 years of industry experience in cloud-native applications.
• Proven experience in a technical leadership role.
• Expert in machine learning models and data engineering.

Responsibilities

• Lead teams through technical design and implementation.
• Define architectural patterns for software and data engineering.
• Oversee delivery of large-scale predictive analytics applications.

Skills

Machine Learning

Data Engineering

Cloud Computing

Agile Methodologies

Software Architecture

English Communication

Education

Post-secondary degree in Computer Science

Tools

AWS

Azure

C#

Python

Angular

Job description

Staff Software Engineer - MachineLearning

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• Doing meaningful work that makes an everyday impacton the world around you.
• Growing your expertiseand expanding your skillset with every project.
• Doing meaningful work that makes an everyday impacton the world around you.
• Growing your expertiseand 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 Engineering Director, the Staff Software Engineer - Machine Learning will drive 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 influence critical real-world decisions.

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 :

• Lead teams through requirements gathering, technical design, implementation, code reviews, testing, documentation, and troubleshooting of new and existing features.
• Define and establish architectural patterns for software, machine learning, and data engineering.
• Oversee the technical delivery of large-scale, end-to-end, cloud-native predictive analytics applications built on AWS and Azure.
• Write clean and scalable frontend (Angular) and backend (C#, Python) code.
• Collaborate with stakeholders to establish and refine technical roadmaps.
• 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.
• At least 7 years of industry experience in designing, building, and operating large-scale, data-intensive, cloud-native applications using microservices architectures on AWS and / or Azure.
• Proven experience in a technical leadership role.
• Expertise in machine learning models and data engineering, including MLOps and big data technologies.
• Strong English communication skills, with the ability to influence both technical and non-technical stakeholders through documentation and presentations.

Preferred Skills :

• Experience in deploying physics-based, statistical, and machine-learning models at scale.
• Strong background in Microsoft development (.NET, C#, and related technologies).
• Python development experience, including Flask, FastAPI, pandas, and related frameworks.
• Solid understanding of statistics and machine learning concepts, such as linear / logistic regression, random forests, and neural networks.
• Experience with modern front-end frameworks such as Angular, React, or Vue.
• 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.

Why Join Us?

• Work on meaningful projects that positively impact the environment and human health.
• Be part of an innovation-driven, startup-like culture within an estab lished organization.
• Get hands-on experience with emerging machine learning and AI technologies.
• Career growth opportunities, including the chance to transition into architectural leadership roles.
• Work with a diverse range of technologies based on your interests and expertise.
• Contribute to the development of two core, early-stage innovative products.
• Join an Agile development environment with Scrum and Kanban methodologies.

We offer :

• Permissive paid time off.
• 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 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 - $185,000.00 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.

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.

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.

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.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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Machine Learning Engineer • London, ON, Canada