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Machine Helper Jobs in Langley, BC (NOW HIRING)

Since 1946, our relentless commitment to these values has helped us challenge the status quo and ... As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on ...

Machinist Location - Surrey, BC Work Arrangement - Onsite Afternoon shift - M-TH, 1:30p-12a ... We help our customers extract the resources the world needs more efficiently and more sustainably.

Machinist Location - Surrey, BC Work Arrangement - Onsite Afternoon shift - M-TH, 1:30p-12a ... We help our customers extract the resources the world needs more efficiently and more sustainably.

Lead Machine Learning Engineer

Vancouver, BC ยท Remote

$225K - $260K/yr

Create and adjust loss functions and training strategies that help the model learn effectively from ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

Machinist

Richmond, BC ยท On-site

CA$36 - CA$40/hr

As a Machinist, you'll help build precision components that support reliable food equipment manufacturing at Unifiller, a Coperion brand - part of Hillenbrand, in Richmond, BC. We design and ...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring ... We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver ...

This opportunity will help you strengthen core machining skills, build confidence in a production setting, and develop habits that support long-term success in manufacturing. WHAT YOU'LL DO: * Select ...

Loads, unloads parts to and from machine and maintains appropriate monitoring of operations to ... May train other employees and help in other departments as required. * Other essential duties and ...

Loads, unloads parts to and from machine and maintains appropriate monitoring of operations to ... May train other employees and help in other departments as required. * Other essential duties and ...

Manager, Machine Learning Engineering

Vancouver, BC ยท Remote

CA$181K - CA$272K/yr

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... A diverse base of knowledge that allows you to help your team solve complex technical problems. * A ...

Sales Administrator

Surrey, BC ยท On-site

CA$50K/yr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... Help coordinate the receipt of orders and handle related freight charges Required Skills ...

As part of Wesgroup Equipment, Williams Machinery has been powering BC industries for over 120 ... You'll sell JCB equipment, helping customers choose the right equipment to keep their operations ...

Showing results 21-40

Machine Helper information

What is a machine helper?

Machine Helpers are workers who assist machine operators in manufacturing or production settings. They are responsible for supporting the setup, operation, and maintenance of machinery, as well as ensuring materials are loaded correctly and finished products are removed efficiently. Their duties often include cleaning equipment, monitoring machine performance, and helping with minor repairs or adjustments. Machine Helpers play a vital role in keeping production lines running smoothly and safely.

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

To excel as a Machine Helper, you need basic mechanical aptitude, physical stamina, and a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and possibly forklift or OSHA certifications is typically required. Attention to detail, teamwork, and reliability are important soft skills for this role. These skills and qualifications ensure safe and efficient machine operation, minimize downtime, and contribute to a productive work environment.

What are some common challenges faced by machine helpers in a manufacturing environment and how can they be addressed?

Machine Helpers often encounter challenges such as keeping up with fast-paced production lines, handling repetitive tasks, and ensuring safety around heavy machinery. To address these, it's important to stay attentive, follow safety protocols, and communicate effectively with machine operators and supervisors. Developing good organizational habits and being proactive about machine maintenance can also help prevent breakdowns and maintain efficiency. Training and teamwork are key for overcoming these challenges and ensuring a smooth workflow.

What is the difference between Machine Helper vs Machine Operator?

AspectMachine HelperMachine Operator
Required CredentialsHigh school diploma or equivalent; on-the-job trainingHigh school diploma; often additional certifications or training
Work EnvironmentFactories, manufacturing plants, construction sitesFactories, manufacturing plants, industrial settings
Employer & Industry UsageCommonly employed in manufacturing and constructionPrimarily in manufacturing, production, and industrial sectors
Job ResponsibilitiesAssist machine operators, prepare materials, perform basic maintenanceOperate machinery, monitor production, ensure safety and quality

In summary, a Machine Helper assists Machine Operators by preparing materials and performing basic tasks, while Machine Operators are responsible for running and managing machinery. Both roles are essential in manufacturing environments but differ in responsibilities and required skills.

What cities near Langley, BC are hiring for Machine Helper jobs?

Cities near Langley, BC with the most Machine Helper job openings:

Infographic showing various Machine Helper job openings in Langley, BC as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Senior Machine Learning Engineer

Vancity

Vancouver, BC โ€ข Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 29 days ago


Job description

Our Story & Purpose:
Weโ€™re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. Weโ€™ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and weโ€™re actively pursuing strategies in Indigenous banking and financial resilience for our members.
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As the largest private sector Living Wage Employer in Canada, weโ€™re proud to be consistently recognized as one of the countryโ€™s Top Employers. If youโ€™re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
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Your Role in Supporting Our Members:
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 decision-making, automation, and operational efficiency. This role is highly hands-on and best suited for an engineer who can design, build, deploy, and operationalize machine learning models in enterprise production environments. You will work across the full ML lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is measured by scalable, reliable, and production-ready machine learning solutionsโ€”not proof-of-concepts or experimentation alone
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This is a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This position is remote and open to candidates located in British Columbia or Ontario. While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands
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How You'll Make an Impact:
  • Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains
  • Applying machine learning and data science techniques such as forecasting, predictive modeling, classification, regression, recommendation, and optimization to solve business problems
  • Conducting experiments and evaluating models using appropriate statistical, technical, and business performance metrics
  • Architecting, building, deploying, and maintaining scalable machine learning models and AI solutions integrated into enterprise systems, applications, and operational workflows
  • Designing and implementing end-to-end ML workflows, including data preparation, feature engineering, model training, validation, deployment, optimization, and continuous monitoring in a high-scale production environment
  • Developing reusable machine learning components, feature pipelines, and model-serving frameworks to support multiple use cases and teams
  • Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
  • Building and maintaining automated ML pipelines, feature engineering workflows, feature store patterns, and deployment processes for training, testing, monitoring, and retraining machine learning models
  • Implementing standards and best practices for model versioning, lifecycle management, governance, deployment automation, model performance monitoring, drift detection, data quality, operational health, and retraining triggers
  • Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
What Youโ€™ll Bring to the Team:
  • 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
  • Strong hands-on experience building and deploying cloud-based applications and machine learning services
  • Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
  • Hands-on experience with industry-standard machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Proven experience productionizing machine learning models and operating scalable, reliable ML systems in enterprise environments
  • Hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD pipelines, model lifecycle management, monitoring, and deployment automation
  • Strong understanding of API design and service integration, machine learning algorithms, statistical modeling, feature engineering, and model evaluation techniques
  • Proven ability to take solutions from prototype to production
Extra Skills That Set You Apart:
  • Exposure to machine learning use cases such as churn prediction, forecasting, predictive modeling, member or customer personalization, recommendation systems, marketing optimization, and experimentation frameworks such as A/B testing
  • Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimization methods, representation learning, causal inference, and Generative AI workflows
  • Experience integrating AI services into automation platforms such as UiPath or Power Automate and familiarity with AWS, GCP, Power BI, or Tableau
Youโ€™ll Thrive Here If You Are:
  • Production-Focused โ€“ You measure success by scalable, reliable, and production-ready machine learning solutions
  • Hands-On โ€“ You enjoy designing, building, deploying, and operationalizing machine learning solutions from end to end
  • Collaborative โ€“ You work effectively with data, platform, cloud, security, and business teams to deliver meaningful outcomes
  • Technically Curious โ€“ You continuously explore emerging technologies, machine learning techniques, and AI innovations
  • Quality-Driven โ€“ You prioritize engineering excellence, automation, testing, monitoring, and maintainable code
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
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What Youโ€™ll Earn:
This role offers a salary range of $113,100 to $153,000 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.
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Why Youโ€™ll Love Working Here:
A career at Vancity is more than just a job, youโ€™re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:
  • Living Wage Employer: Weโ€™re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canadaโ€™s Top Employers
  • Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
  • Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
  • Extra Stat Holidays: In addition to BCโ€™s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
  • Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
  • Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone
Vancity Talent Programs:
Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.
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This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know.
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Weโ€™re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.