Partner with engineering teams to design and operationalize technical controls, including model ... Enable a scalable operating model for AI governance embedded into platforms and processes * Act as ...
Partner with engineering teams to design and operationalize technical controls, including model ... Enable a scalable operating model for AI governance embedded into platforms and processes * Act as ...
Do you enjoy working with tools and seeing a machine come together piece by piece? We want to hear ... A hands-on entry point into the mining and engineering world, working on world-class underground ...
Do you enjoy working with tools and seeing a machine come together piece by piece? We want to hear ... A hands-on entry point into the mining and engineering world, working on world-class underground ...
Do you enjoy working with tools and seeing a machine come together piece by piece? We want to hear ... A hands-on entry point into the mining and engineering world, working on world-class underground ...
Do you enjoy working with tools and seeing a machine come together piece by piece? We want to hear ... A hands-on entry point into the mining and engineering world, working on world-class underground ...
As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ... On-the-job training in a continuous learning environment (we invested $11.6 million in 2025)
As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ... On-the-job training in a continuous learning environment (we invested $11.6 million in 2025)
CNC Brake Press Operator
Winnipeg, MB · On-site
As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ... On-the-job training in a continuous learning environment (we invested $11.6 million in 2025)
Quick apply
CNC Brake Press Operator
Winnipeg, MB · On-site
As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ... On-the-job training in a continuous learning environment (we invested $11.6 million in 2025)
Maintenance Technician
Winnipeg, MB · On-site
As a comprehensive manufacturer of engineered composite products, Carfair Composites supplies ... Operate hand tools, power tools for equipment/machinery assembly and repairs. * Operate hoisting ...
Maintenance Technician
Winnipeg, MB · On-site
As a comprehensive manufacturer of engineered composite products, Carfair Composites supplies ... Operate hand tools, power tools for equipment/machinery assembly and repairs. * Operate hoisting ...
... Engineer. * Mask parts for stripping, coating application, and finishing processes. * Operate ... Clean, maintain, and service AEP tanks, furnaces, blast machines, fixtures, and related equipment.
... Engineer. * Mask parts for stripping, coating application, and finishing processes. * Operate ... Clean, maintain, and service AEP tanks, furnaces, blast machines, fixtures, and related equipment.
Embedded Machine Learning Engineer information
See Winnipeg, MB salary details
$26.6K - $45K
5% of jobs
$45K - $63.5K
2% of jobs
$63.5K - $81.9K
4% of jobs
$81.9K - $100.3K
9% of jobs
$107K is the 25th percentile. Wages below this are outliers.
$100.3K - $118.8K
11% of jobs
$118.8K - $137.2K
15% of jobs
The median wage is $140.7K / yr.
$137.2K - $155.6K
17% of jobs
$170.1K is the 75th percentile. Wages above this are outliers.
$155.6K - $174.1K
15% of jobs
$174.1K - $192.5K
11% of jobs
$192.5K - $210.9K
7% of jobs
$210.9K - $229.3K
3% of jobs
$26.6K
$142.2K
$229.3K
How much do embedded machine learning engineer jobs pay per year?
As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Winnipeg, MB is $142,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,503.00 and $175,077.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?
To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.
What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?
One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.
What does an Embedded Machine Learning Engineer do?
An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.
What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?
| Aspect | Embedded Machine Learning Engineer | Firmware Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworks | Bachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience |
| Work Environment | Develops ML models for embedded devices, often in IoT or smart devices | Designs and implements low-level firmware for hardware devices |
| Industry Usage | Tech companies, IoT, consumer electronics, automotive | Consumer electronics, automotive, industrial equipment |
The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.
Other
Medical, Dental, Life, Retirement
Posted 5 days ago
Job description
Permanent Full Time
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Assistant Vice-President, AI Governance and Standards
Canada Life has an ambition to apply human-led AI to innovate, elevate customer service, and accelerate growth across the organization. To succeed, we believe there is a need to scale AI responsibly across the enterprise, ensuring strong governance, robust technical controls, and alignment with regulatory and risk expectations while enabling innovation.
The role of the AVP, AI Governance and Standards is to provide leadership across both enterprise AI governance and technical responsible AI controls, ensuring AI solutions are developed, deployed, and operated in a safe, compliant, and scalable manner. This role is accountable for defining and operationalizing AI governance frameworks, partnering with business and technology teams to embed controls across the AI lifecycle, and enabling a clear, efficient path for AI adoption through structured intake and oversight processes.
What you will do
Establish and lead the AI Governance and Standards function, providing enterprise-wide leadership on responsible AI practices, governance, and control frameworks
Define and implement AI governance frameworks, policies, and standards covering the full lifecycle (intake, development, validation, deployment, monitoring, and retirement)
Partner with engineering teams to design and operationalize technical controls, including model registry and inventory management, model observability, monitoring, and risk classification and auditability
Define and maintain enterprise standards for LLM and model usage, including model selection, approved platforms, usage patterns (API vs. UI), and guardrails aligned to risk, privacy, and security requirements
Collaborate with business and technology stakeholders to define and enhance the AI intake, triage, and approval process
Work closely with Risk, Compliance, Legal, and Privacy teams to align AI governance practices with regulatory expectations
Establish standards and guardrails for responsible AI including bias mitigation, transparency, data usage, and human oversight
Define governance reporting, metrics, and dashboards to provide visibility into AI portfolio risks and performance
Enable a scalable operating model for AI governance embedded into platforms and processes
Act as a trusted advisor to senior leadership on AI governance and emerging risks
Build and mentor a high-performing team focused on governance and responsible AI
What you will bring
University degree in Computer Science, Data Science, Engineering, or equivalent
10+ years of experience in AI, data, or technology roles with exposure to governance, risk, or controls
Strong understanding of AI governance, model risk management, and regulatory considerations
Experience designing and implementing technical controls for AI systems such as lifecycle management and monitoring
Experience working in large, regulated organizations with cross-functional stakeholders
Ability to bridge technology and governance, translating risk requirements into practical controls
Strong stakeholder management and influencing skills
Experience establishing operating models and scalable processes
Strategic mindset with the ability to balance enablement and control
Commitment to continuous learning in AI governance and emerging technologies
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If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.
Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.
Grow with Canada Life
We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.
We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!
What we offer:
We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member:
- Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement.
- Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options.
- Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
- Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
Learn more about Canada Life.
We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.
Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.
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