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Machine Learning Assistant Jobs in Vancouver, BC

BDO Canada

AI Engineer

Vancouver, BC · On-site

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 · On-site

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 ...

SavAtree Canada Inc.

Arborist Assistant

Surrey, BC · On-site

CA$21 - CA$27/hr

Equipment, Machine and Tool Use * Choose and load the necessary daily equipment. * Perform daily ... Approaches learning and work in a flexible manner. * Proactive approach to personal and career ...

U-Haul

Assistant Moving Center Manager

Surrey, BC · On-site

CA$19 - CA$21/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$19 - CA$21/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 · On-site

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 ...

ALS

Warehouse Assistant

North Vancouver, BC · On-site

CA$21.48/hr

Extensive walking or movement, bending, kneeling, and working with machines * Frequently wearing a ... Learning & development opportunities (unlimited access to e-learnings and more) Please note:

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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.

AI Engineer

BDO Canada

Vancouver, BC • On-site

CA$77K - CA$117K/yr

Full-time

PTO

Re-posted 26 days ago

Key responsibilities

  • Design, build, and deploy production-grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.

  • Develop, refine, and optimize prompt strategies, manage model context windows, and finetune models to improve performance, accuracy, and cost efficiency.

  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud-native architectures.

Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterpriseready AI capabilities with a strong focus on large language models (LLMs), retrievalaugmented generation (RAG), and agentic workflows, operating within established governance frameworks.
Responsibilities:
  • Design, build, and deploy robust, scalable, productiongrade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and finetune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloudnative architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrievalaugmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and tokencost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, FullStack Developers, Service Line Labs, and Citizen Developers on firmwide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and changemanagement activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of riskmitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client's industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 3-5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expertlevel proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep handson experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLMbased application design.
  • Proven experience designing and implementing retrievalaugmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, productiongrade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and handson exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights & Biases.


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.

  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

  • We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.


Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out ourcareers page.

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