ZipRecruiter

Log In

1

Machine Learning Assistant Jobs in British Columbia

Gibraltar Mine

Data Scientist

Mcleese Lake, BC

CA$102K - CA$128K/yr

Gibraltar Mine currently uses machine learning tools in our milling processes. This role's key function would be to assist in developing and maintaining these tools by: * Training machine learning ...

Gibraltar Mine

Data Scientist

Mcleese Lake, BC

Gibraltar Mine currently uses machine learning tools in our milling processes. This role's key function would be to assist in developing and maintaining these tools by: * Training machine learning ...

Gibraltar Mine

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

Gibraltar Mine currently uses machine learning tools in our milling processes. This role's key function would be to assist in developing and maintaining these tools by: * Training machine learning ...

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 ...

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 ...

U-Haul

Assistant Moving Center Manager

West Kelowna, 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

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:

next page

Showing results 1-20

All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in British Columbia

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 British Columbia?

The most popular types of Machine Learning jobs in British Columbia are:

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

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

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

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

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant 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.

Data Scientist

Mcleese Lake, BC

Gibraltar Mine
See more jobs at Gibraltar Mineexternal

CA$102K - CA$128K/yr

Full-time

Re-posted 12 days ago

Job description

Position Title

Data Scientist, Technical Services

Employment Type

Full-Time

Organization

Gibraltar Mine

Location

Mcleese Lake, BC

Reporting Relationship

Senior Engineer, Process Control

Salary Range

$102,700 to $128,300

About Trekor

Headquartered in Vancouver, British Columbia (BC), Canada, Trekor Metals Limited (Trekor) is a leading North American copper producer with a robust development pipeline of minerals projects and properties in Canada and the United States.

Known for seeing opportunities where other mining companies do not, Trekor has a two-decade track record of delivering value for shareholders, employees, communities where we operate, and others — from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second-largest copper producer, to transforming Arizona’s Florence Copper into the world's first greenfield in-situ copper recovery operation.

Trekor goes Beyond Potential.

For more information visit our website www.Trekormetals.com.

Role Overview

We are looking for an enthusiastic data scientist to join our technical services team. This role presents an opportunity to expand the site’s data science capabilities and support our data science lead.

Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:

  • Training machine learning models on observational data sets from sensors and assays in the mine and mills.
  • Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health.
  • Designing reports and visualizations to communicate KPIs and insights.

The position will also support other departments by providing broader on-site data management, wrangling, analysis, and modeling to support complex mining and milling processes.

Core Responsibilities
  • Contribute to ongoing model maintenance and optimization activities for existing machine learning tools.
  • Design and implement secure, automated end-to-end data pipelines from source data to analytics-ready datasets for use in production environments.
  • Conduct exploratory data analyses and correlation studies in collaboration with the milling and mining departments.
  • Develop scalable, testable, and reliable internal data science tools, primarily in Python.

Apply