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Machine learning Jobs in Waterloo, ON

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Machine learning • waterloo on

Last updated: 11 hours ago
Engineering Manager - MLOps & Analytics

Engineering Manager - MLOps & Analytics

CanonicalWaterloo, Region of Waterloo, CA
Full-time
Engineering Manager - MLOps & Analytics.Be among the first 25 applicants.Engineering Manager - MLOps & Analytics.Get AI-powered advice on this job and more exclusive features.The role of an Enginee...Show moreLast updated: 30+ days ago
Senior Data Scientist III

Senior Data Scientist III

RELXHome Based, Canada ON
Remote
Full-time
The Senior Data Scientist III contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject ma...Show moreLast updated: 30+ days ago
Mold Maker / Tool & Die

Mold Maker / Tool & Die

Flex-N-Gate LLC.Kitchener, Region of Waterloo, CA
Full-time
Posted Wednesday, January 1, 2025 at 5 : 00 AM.Flex-N-Gate is a leading manufacturer and supplier of components for the automotive industry, recently ranked 10th among the Top 150 North American Supp...Show moreLast updated: 30+ days ago
Engineer - Reinforcement Learning

Engineer - Reinforcement Learning

HuaweiWaterloo, Region of Waterloo, CA
Temporary
Huawei Canada has an immediate a 12-month contract opening for an Engineer.The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in ar...Show moreLast updated: 30+ days ago
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Mold Maker / Tool & Die

Mold Maker / Tool & Die

Flex-N-GateKitchener, Region of Waterloo, CA
Full-time
Flex‑N‑Gate is a leading manufacturer and supplier of components for the automotive industry, recently ranked 10th of the 150 Top North American Suppliers in “Automotive News.A growing and vital co...Show moreLast updated: 11 hours ago
Machine Learning Researcher

Machine Learning Researcher

Royal Bank of Canada>WATERLOO, Canada
Full-time
At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational re...Show moreLast updated: 30+ days ago
Senior Machine Learning Engineer I

Senior Machine Learning Engineer I

CARTAWaterloo, Ontario, Canada
Full-time
Carta is a platform that helps people manage equity, build businesses, and invest in the companies of tomorrow.Our mission is to unlock the power of equity ownership for more people in more places....Show moreLast updated: 30+ days ago
Staff Machine Learning Engineer - Ads Targeting

Staff Machine Learning Engineer - Ads Targeting

redditRemote, Ontario, Canada
Remote
Full-time
Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote...Show moreLast updated: 30+ days ago
Staff Applied Scientist, AI / ML

Staff Applied Scientist, AI / ML

KinaxisWaterloo, Region of Waterloo, CA
Full-time
Staff Software Developer, Machine Learning.Staff Software Developer, Machine Learning.Staff Software Developer, Machine Learning. Be among the first 25 applicants.Staff Software Developer, Machine L...Show moreLast updated: 30+ days ago
Learning Experience Designer, Classroom Success

Learning Experience Designer, Classroom Success

ForwardeduKitchener, Region of Waterloo, CA
Full-time
Forward Education is looking for a Learning Experience Designer to own the success of our K-12 educator community as they dive into the world of coding and robotics with the Climate Action Kit.In t...Show moreLast updated: 30+ days ago
Senior AI Engineer : LLMs & Scalable ML Features

Senior AI Engineer : LLMs & Scalable ML Features

HRBKitchener, Region of Waterloo, CA
Full-time
A technology company in Kitchener is seeking an experienced AI Engineer to integrate large language models into their platform. You will design AI-driven features, develop automation tools, and buil...Show moreLast updated: 30+ days ago
Senior Director, Software Engineering (Machine Learning)

Senior Director, Software Engineering (Machine Learning)

AffirmKitchener, Region of Waterloo, CA
Full-time
Senior Director, Software Engineering (Machine Learning).Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidd...Show moreLast updated: 30+ days ago
Machine Learning Engineer

Machine Learning Engineer

ProNavigatorKitchener, Region of Waterloo, CA
Full-time
ProNavigator helps insurance organizations centralize, manage, and deliver on-demand information to sales, service, underwriting, and brokers / agents. In 2019, we pioneered the first knowledge manage...Show moreLast updated: 30+ days ago
Co-op Engineer - Machine Learning

Co-op Engineer - Machine Learning

Huawei Technologies Canada Co., Ltd.Waterloo, Ontario, CA
Internship
Huawei Canada has an immediate Co-op opening for an Engineer.The Digital Trust Lab is dedicated to ensuring user data flows while maintaining privacy. Researchers focus on key areas such as user ide...Show moreLast updated: 30+ days ago
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Machine Operator

Machine Operator

BizLink Holding IncKitchener, Region of Waterloo, CA
Full-time
Read, setup and inspect paperwork of machine centre equipmnt, process and materials.Run machine for production to produce quality parts. Measure and examine extruded products to ensure they meet all...Show moreLast updated: 11 hours ago
Machine Operator

Machine Operator

CB CanadaWaterloo, Ontario, Canada
Full-time
The Machine Operator is responsible for efficiently operating two Perforator machines; ensuring parts meet customer specifications and quality requirements. assisting with tooling changes and maint...Show moreLast updated: 30+ days ago
Senior Applied AI / ML Scientist - Ads Platform, Hybrid

Senior Applied AI / ML Scientist - Ads Platform, Hybrid

FaireKitchener, Region of Waterloo, CA
Full-time
A leading online wholesale marketplace is seeking an experienced ML Engineer to shape their Ads Data team.You will develop and optimize machine learning models that enhance the ads retrieval and bi...Show moreLast updated: 30+ days ago
Director of Learning and Development

Director of Learning and Development

Opportunities @ Schlegel VillagesKitchener, Ontario, Canada
Full-time
We have an exciting new opportunity for a Director of Education (traditionally known as Director of Learning and Development) to join our team with an anticipated start in January / February of 2026....Show moreLast updated: 27 days ago
People also ask
Engineering Manager - MLOps & Analytics

Engineering Manager - MLOps & Analytics

CanonicalWaterloo, Region of Waterloo, CA
30+ days ago
Job type
  • Full-time
Job description

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The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location : This is a Globally remote role.

What your day will look like

  • Manage a distributed team of engineers and its MLOps / Analytics portfolio
  • Organize and lead the team's processes in order to help it achieve its objectives
  • Conduct one-on-one meetings with team members
  • Identify and measure team health indicators
  • Interact with a vibrant community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and its MLOps solutions
  • Mentor and grow your direct reports, helping them achieve their professional goals
  • Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

  • A proven track record of professional experience of software delivery
  • Professional python development experience, preferably with a track record in open source
  • A proven understanding of the machine learning space, its challenges and opportunities to improve
  • Experience designing and implementing MLOps solutions
  • An exceptional academic track record from both high school and preferably university
  • Willingness to travel up to 4 times a year for internal events
  • Additional skills that you might also bring

    The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

  • Hands-on experience with machine learning libraries, or tools.
  • Proven track record of building highly automated machine learning solutions for the cloud.
  • Experience with building machine learning models
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Experience in the Linux and open-source software world
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on a distributed team on an open source project even if that is community open source contributions.
  • Demonstrated track record of Open Source contributions
  • What we offer you

    We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues from your team and others
  • Priority Pass for travel and travel upgrades for long haul company events
  • About Canonical

    Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

    Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

    Canonical is an equal opportunity employer

    We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Software Development

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