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Junior Machine Learning Engineer Jobs in British Columbia

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 ... Serve as a technical role model for more junior engineers. About YouBasic Qualifications * Bachelor ...

Workday

Machine Learning Engineer

Vancouver, BC · On-site

About the Role As a Machine Learning Engineer on the AI Platform Context and Retrievals team, you ... Serve as a technical role model for more junior engineers About You Basic Qualifications:

Clio

Machine Learning Engineer

Vancouver, BC · Hybrid

CA$129K - CA$174K/yr

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 ...

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC · On-site

CA$84K - CA$128K/yr

Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...

Weir

Senior Machine Learning Developer

Vancouver, BC · Hybrid

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 JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in British Columbia

Junior Machine Learning Engineer information

See British Columbia salary details

$26K

$119.2K

$207.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior machine learning engineer in British Columbia is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs

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 are popular job titles related to Junior Machine Learning Engineer jobs in British Columbia?

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

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

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

What cities in British Columbia are hiring for Junior Machine Learning Engineer jobs?

Cities in British Columbia with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Junior Machine Learning Engineer

ALS

North Vancouver, BC

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Apply