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Hourly Embedded Machine Learning Jobs in Toronto, ON

Banyan Software

Senior AI Business Analyst

Toronto, ON · Hybrid

CA$130K - CA$170K/yr

Working command of machine learning concepts, model evaluation, data quality, and the limits of AI ... Embedded experience. You have worked as an embedded analyst or business partner, not just on a ...

Odaia Intelligence Inc.

Full-Stack Developer

Toronto, ON · On-site

Design and maintain reliable APIs and backend services that connect ODAIA's data, machine learning ... embedded analytical engines such as DuckDB and DataFusion * Collaborate with product, design, and ...

New

Banyan Software

Senior AI Business Analyst

Toronto, ON · Hybrid

CA$130K - CA$170K/yr

Working command of machine learning concepts, model evaluation, data quality, and the limits of AI ... Embedded experience. You have worked as an embedded analyst or business partner, not just on a ...

Lyft

Software Engineer, Routing

Toronto, ON

We use AI and machine learning to improve development productivity, optimize customer support ... Hourly team members get 15 days paid time off, with an additional day for each year of service

Levio

AI Solution Architect

Toronto, ON · Hybrid

CA$150K - CA$200K/yr

... embedded in our clients' environments. At Levio, we valueexpertise, curiosity, and continuous ... Strong understanding of machine learning, generative AI, and LLM-based architectures * Proven ...

Walmart

Manager, Process Improvement

Mississauga, ON · On-site

The Manager, Process Improvement ensures that implemented changes are embedded within teams ... Prior exposure to product, machine learning, or forecast modelling is a plus * Prior experience ...

Spiria

Lead Software Developer

Oakville, ON · On-site

CA$100/hr

... learning curve when learning new languages. In addition to actively participating in the ... Collaborate with UX, systems engineers, product owners, and embedded teams to translate machine and ...

Amd

SOC CAD EDA Engineer

Thornhill, ON

... and embedded systems. Grounded in a culture of innovation and collaboration, we believe real ... machine learning to CAD or EDA workflows. THE PERSON: You have a passion for modern, complex ...

Chubb

AI Engineer

Toronto, ON

Must have: * 2 - 5 years' experience in AI Engineering and/or Machine Learning (ML) with a focus on ... Delivery of scalable AI capabilities embedded within finance processes * Measurable improvements in ...

Scotiabank

Chief AI Architect

Toronto, ON · On-site

... architecture, Machine Learning Architecture, MLOPs Architecture, Cloud Architecture, Agentic ... embedded in solution designs at inception, not compliance documentation retrofitted after the fact.

The Trade Desk

Applied Scientist II

Toronto, ON · On-site

... machine learning * You think beyond just the task at hand to deeply understand the 'why' behind ... You are a broadly skilled data scientist with deep expertise working with embedded models in always ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Toronto, ON

Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Toronto, ON? The most popular types of Embedded Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Toronto, ON? For Hourly Embedded Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Toronto, ON look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Toronto, ON are:
Hourly Embedded Machine Learning jobs near you

Predictive Analytics & Strategy Student

PCL Construction

Oakville, ON

CA$19.57 - CA$28.69/hr

Full-time

Retirement

Re-posted 2 days ago

PCL Construction rating

7.0

Company rating: 7.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The future you want is within reach.

At PCL, we build the places where life happens and find camaraderie in the process. We’re a community of builders committed to building better communities. That’s why we’re always looking ahead, and not just to the next project or what’s next in our industry.

We’re also looking at what’s next for you and how we can help you build a career you’re proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.

We are seeking a Predictive Analytics & Strategy Student for our Toronto District, within our Canadian Buildings Division who is available for 4 month or 8 months starting September 2026.

As a Predictive Analytics & Strategy Student and depending on your assigned project, you will have the opportunity to contribute to our team by:

Responsibilities

· Collecting, cleaning, and organizing large datasets from multiple internal and external sources

· Performing exploratory data analysis to identify trends, anomalies, and key drivers

· Ensuring data integrity, consistency, and documentation

· Assisting in the development, testing, and refinement of predictive models

· Applying statistical and machine learning techniques appropriate to the business problem

· Evaluating model performance and refining assumptions as needed

· Translating analytical findings into clear insights that inform strategic decisions

· Developing dashboards, visualizations, and summary materials for non-technical audiences

· Supporting scenario analysis and forecasting exercises

· Working closely with strategic functions and leadership teams to understand business questions

· Clearly communicating methodology, assumptions, and findings

· Incorporating feedback and iterating on analyses

Qualifications

· Working towards a degree or diploma in a data science, statistics, mathematics, computer science and/or analytics-related field.

· Strong analytical and problem-solving skills

· Exposure to machine learning techniques such as regression, classification, or clustering

· Experience with SQL and relational databases

· Experience working with large datasets

· Proficiency with analytical languages (such as Python or R)

· Familiarity with data visualization tools such as Power BI, Tableau, or Python visualization libraries

· Strong written and verbal communication skills

Next Step:

Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview

The estimated hourly range for this role is $19.57- $28.69, based on your experience and qualifications. Final compensation will be confirmed as part of a personalized offer.

PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make all employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.

PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.

Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.


This recruitment process does not involve the use of artificial intelligence (AI) to screen, assess, or select applicants. All hiring decisions are made by qualified reviewers.

This posting is for a replacement position within our organization.

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