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Artificial Intelligence Machine Learning Engineer Jobs in British Columbia

Clio

Machine Learning Engineer

Vancouver, BC · Hybrid

CA$129K - CA$174K/yr

  • Medical

  • Dental

  • Vision

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... use artificial intelligence to improve all of our operations. In recruitment, AI helps us ...

ALS

Junior Machine Learning Engineer

North Vancouver, BC · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline. * Practical experience with machine learning ...

Workday, Inc.

Machine Learning Engineer

Vancouver, BC · On-site

$128 - $192/hr

About the Role As a Machine Learning Engineer on the AI Platform Context and Retrievals team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate ...

Vancity

Senior Machine Learning Engineer

Vancouver, BC · Remote

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business ...

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC

CA$84K - CA$128K/yr

  • PTO

Advanced programming skills in Python, with practical experience using popular machine learning ... BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment ...

Match Group

Senior Machine Learning Engineer

Vancouver, BC · On-site +1

  • Medical

  • Dental

  • PTO

As a Senior Machine Learning Engineer, you will work as part of our ML/AI Squad, working across the organization on strategic and challenging projects to support E&E companies to achieve their ...

Remitly

Senior Machine Learning Engineer

Burnaby, BC

CA$168K - CA$210K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Stryker

Staff Engineer, Computer Vision

Burnaby, BC · On-site

CA$105K - CA$140K/yr

Design, develop, train, and integrate advanced computer vision and machine learning solutions ... Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related ...

Weir

Senior Machine Learning Developer

Vancouver, BC · Hybrid

  • Medical

  • Life

Senior Machine Learning Developer Vancouver - Hybrid Job Summary Shape the future of AI in mining by developing production-ready machine learning solutions that drive safer, smarter and more ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in British Columbia

Artificial Intelligence Machine Learning Engineer information

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in British Columbia?

For Artificial Intelligence Machine Learning Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in British Columbia look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in British Columbia are:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in British Columbia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Machine Learning Engineer

Clio

Vancouver, BC • Hybrid

CA$129K - CA$174K/yr

Full-time

Medical, Dental, Vision

Re-posted 14 days ago

Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.
This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team's goal is to deliver an incredible experience to our customers.In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients' needs.

A day in the life might look like:

  • Develop advanced machine learning models using structured and unstructured data to improve Clio's customer's experience

  • Create LLMs based solutions to help Clio's clients to save time and create efficiencies

  • Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers

  • Work in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects

What you may have:

  • Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;

  • Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;

  • Experience with agentic frameworks and workflows

  • Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;

  • A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;

  • A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;

  • Exceptional communication skills and the ability to build trust with both internal teams and external customers;

  • A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.

This posting is for an existing vacancy.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $129,200 to $174,800 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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