We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise. Key job responsibilities
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise. Key job responsibilities
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise. Key job responsibilities
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise. Key job responsibilities
We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...
We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
Set strategic direction for the department or area receiving high level direction from senior ... Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design Additional ...
Set strategic direction for the department or area receiving high level direction from senior ... Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design Additional ...
Senior Deep Learning Engineer
Vancouver, BC · On-site +1
$130K - $180K/yr
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...
Quick apply
Senior Deep Learning Engineer
Vancouver, BC · On-site +1
$130K - $180K/yr
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...
Senior Deep Learning Engineer
Vancouver, BC · On-site +1
$130K - $180K/yr
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...
Quick apply
Senior Deep Learning Engineer
Vancouver, BC · On-site +1
$130K - $180K/yr
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
Machine Learning Researcher
Vancouver, BC · On-site
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 ...
Machine Learning Researcher
Vancouver, BC · On-site
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 ...
We are looking for a MLOps Engineer to help design and build a production-grade machine learning pipeline for financial risk model training and inference. The pipeline will support model training ...
We are looking for a MLOps Engineer to help design and build a production-grade machine learning pipeline for financial risk model training and inference. The pipeline will support model training ...
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 ...
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 ...
RBC Borealis is looking for an experienced Director to lead a team of machine learning researchers and research engineers delivering cutting-edge applied AI solutions for the financial services ...
RBC Borealis is looking for an experienced Director to lead a team of machine learning researchers and research engineers delivering cutting-edge applied AI solutions for the financial services ...
... machine learning products at scale, including taking products through applied research, design ... or equivalent Sr. AI Engineer Basic Qualifications: * 8+ years of professional experience in ...
... machine learning products at scale, including taking products through applied research, design ... or equivalent Sr. AI Engineer Basic Qualifications: * 8+ years of professional experience in ...
Manager, Machine Learning Engineering
Vancouver, BC · Remote
CA$181K - CA$272K/yr
We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions ...
Manager, Machine Learning Engineering
Vancouver, BC · Remote
CA$181K - CA$272K/yr
We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions ...
We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...
We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...
As a Sr. Software Engineer (ML Researcher), you will be a core contributor to the research, design ... Collaborate with machine learning infrastructure engineers on the team to optimize distributed ...
Quick apply
As a Sr. Software Engineer (ML Researcher), you will be a core contributor to the research, design ... Collaborate with machine learning infrastructure engineers on the team to optimize distributed ...
Senior Software Developer
Vancouver, BC · On-site
Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript
Senior Software Developer
Vancouver, BC · On-site
Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript
Senior Software Developer
Burnaby, BC · On-site
Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript
Senior Software Developer
Burnaby, BC · On-site
Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
... is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive ... Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with ...
Senior Machine Learning Engineer information
See British Columbia salary details
$45K - $63.5K
1% of jobs
$63.5K - $82K
0% of jobs
$82K - $100.5K
0% of jobs
$100.5K - $119K
9% of jobs
$119K - $137.5K
15% of jobs
$138K is the 25th percentile. Wages below this are outliers.
$137.5K - $156K
19% of jobs
The median wage is $160.3K / yr.
$156K - $174.5K
28% of jobs
$179.9K is the 75th percentile. Wages above this are outliers.
$174.5K - $193K
13% of jobs
$193K - $211.5K
6% of jobs
$211.5K - $230K
5% of jobs
$230K - $248.5K
4% of jobs
$45K
$165.3K
$248.5K
How much do senior machine learning engineer jobs pay per year?
As of Aug 7, 2026, the average yearly pay for senior machine learning engineer in British Columbia is $165,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $184,000.00 per year, depending on experience, location, and employer.
What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?
Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.
What does a senior machine learning engineer do?
A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.
What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?
To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.
What is the difference between Senior Machine Learning Engineer vs Data Scientist?
| Aspect | Senior Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML, or related; experience with ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops and deploys ML models in production systems | Analyzes data, builds models, and provides insights |
| Industry Usage | Tech, finance, healthcare, e-commerce | Research, finance, marketing, tech |
While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.
What are the most commonly searched types of Machine Learning Engineer jobs in British Columbia? The most popular types of Machine Learning Engineer jobs in British Columbia are:
What cities in British Columbia are hiring for Senior Machine Learning Engineer jobs? Cities in British Columbia with the most Senior Machine Learning Engineer job openings:
Full-time
Re-posted 8 days ago
Amazon rating
7.4
Based on 7,064 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The AI Center of Excellence (AICE) builds AI primitives that power system-intrinsic intelligence and Trusted Intelligent Knowledge Infrastructure for both AI-as-a-Consumer and human users. We develop AI capabilities independently and in partnership with product-owning teams to evolve Amazon's AI-driven operations and productivity. Our impact is enterprise-broad and global.
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise.
Key job responsibilities
* Own the end-to-end development of AI/ML primitives - from ideation and experimentation through architecture, implementation, testing, and production deployment
* Drive the integration of AICE primitives into partner products, collaborating closely with product-owning teams to ensure seamless adoption and value delivery
* Design, test, and harden primitives for general availability, enabling consumption by other teams and product owners across the organization
* Architect solutions suitable for production environments, maintaining best practices in reliability, scalability, observability, and operational excellence
* Contribute to AICE's mission of driving AI transformation through best practices in AI-driven development, implementation processes, and operationalization within your area of expertise
* Establish and evolve engineering standards that raise the bar for how AI primitives are built, tested, deployed, and maintained
A day in the life
Every day brings new challenges
You might design experimentation tooling to validate primitives, refine our codebase for operational excellence, or work through technical challenges with partners integrating AICE primitives into their products. Other days, you'll monitor production systems and support teams consuming our models.
No two weeks look the same. You'll move fluidly between deep technical work and collaborative problem-solving - always with the goal of building AI primitives that are trusted, reliable, and impactful at enterprise scale.
About the team
AICE is a team of scientists and machine learning engineers building the AI primitives that power Amazon's intelligent systems
We develop and harden reusable capabilities for broad consumption by product teams across the enterprise - and partner with those teams to integrate them.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US