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Machine Learning Assistant Jobs in Vancouver, BC

ALS

Junior Machine Learning Engineer

North Vancouver, BC · On-site

CA$80K - CA$95K/yr

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 ...

ALS

Geodata Scientist

Vancouver, BC · Remote

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services. * Assist in developing ...

BDO Canada

AI Engineer

Vancouver, BC

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Ubc

Research Associate

Vancouver, BC

CA$6.3K/mo

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... assistants, and other laboratory trainees Qualifications: Successful applicants will have: PhD in ...

Ubc

Research Associate

Vancouver, BC

CA$6.3K/mo

Develop and/or adapt machine learning and artificial intelligence approaches for the analysis of ... assistants, and other laboratory trainees Qualifications: Successful applicants will have: PhD in ...

Ubc

Research Associate

Vancouver, BC

CA$6.3K/mo

Integrate computational modeling and machine learning approaches to enable robust biomarker ... SUPERVISION GIVEN Supervises Research Assistants, Graduate and/or Undergraduate students.

Hillenbrand

Machining Co-op student

Richmond, BC · On-site

CA$25 - CA$27/hr

Machine parts using lathes, milling machines, grinders, and other shop equipment to produce ... operations. * Assist with training and general shop tasks when needed so the team can meet ...

Royal Bank of Canada

Product Manager

Vancouver, BC

TheRBC Assist teamis at the forefront of creating the next generation platform that empowers all ... With a focus oncutting-edgeresearch in areas like time series forecasting, causal machine learning ...

U-Haul

Assistant Moving Center Manager

Surrey, BC · On-site

CA$20 - CA$22/hr

... learning valuable skills to get your career moving. Our motto is " Hire Fast, Pay Fast ." You can ... machines, fumes or irritant chemicals. May be required to use protective clothing or gear such as ...

U-Haul

Assistant Moving Center Manager

Port Moody, BC · On-site

CA$20 - CA$22/hr

... learning valuable skills to get your career moving. Our motto is " Hire Fast, Pay Fast ." You can ... machines, fumes or irritant chemicals. May be required to use protective clothing or gear such as ...

Leavitt Machinery

Sales Administrator

Surrey, BC

CA$50K/yr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Vancouver, BC

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Vancouver, BC?

The most popular types of Machine Learning jobs in Vancouver, BC are:

What job categories do people searching Machine Learning Assistant jobs in Vancouver, BC look for?

The top searched job categories for Machine Learning Assistant jobs in Vancouver, BC are:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Junior Machine Learning Engineer

ALS

North Vancouver, BC • On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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