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Machine Operator Assistant Jobs in Montreal, QC (NOW HIRING)

Penske Mobile Technician II will generally assist in the repair and diagnosis of major components ... machinery. - Adjust and replace brakes, tighten bolts and screws, and reassemble equipment ...

Penske Mobile Technician II will generally assist in the repair and diagnosis of major components ... machinery. - Adjust and replace brakes, tighten bolts and screws, and reassemble equipment ...

... assistants. Where you belong You will be part of Data Labs within the CX Office of the CTO, a ... Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI ...

Showing results 41-53

Machine Operator Assistant information

What is a machine operator assistant?

Machine Operator Assistants support machine operators by preparing materials, monitoring equipment, and ensuring a smooth production process in manufacturing environments. Their tasks often include loading and unloading materials, cleaning machines, inspecting products for quality, and assisting with machine maintenance. They help maintain efficiency and safety in the workplace and may also document production data or report equipment issues. This role is key for keeping manufacturing lines running smoothly and efficiently.

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

To thrive as a Machine Operator Assistant, you need basic mechanical aptitude, attention to detail, and a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and the ability to use measuring tools or computer systems is often required. Reliability, effective communication, and the ability to work well in a team are standout soft skills for this role. These skills ensure safe, efficient machine operation and help maintain smooth production processes in manufacturing environments.

What are some common challenges faced by a machine operator assistant, and how can they be overcome?

Machine Operator Assistants often encounter challenges such as adapting to fast-paced production environments, ensuring safety compliance, and minimizing machine downtime. To overcome these, it's important to stay attentive to operational protocols, communicate effectively with machine operators and team members, and proactively report any equipment issues. Continuous learning and on-the-job training can also help assistants rapidly build the skills necessary to troubleshoot minor problems and contribute to a smooth workflow.

What is the difference between Machine Operator Assistant vs Machine Operator?

AspectMachine Operator AssistantMachine Operator
CredentialsHigh school diploma or equivalent; some technical trainingHigh school diploma; technical certifications often preferred
Work EnvironmentAssists in manufacturing or production settings, working alongside machine operatorsOperates machinery directly in manufacturing or industrial environments
Job ResponsibilitiesSupports machine operation, performs basic maintenance, and monitors equipmentControls and manages machinery, ensures quality, and troubleshooting

The Machine Operator Assistant primarily supports and assists the Machine Operator in daily tasks, focusing on preparation and basic maintenance. The Machine Operator takes on the responsibility of running and managing machinery independently. Both roles are essential in manufacturing, but the Machine Operator has more advanced technical duties and decision-making authority.

How to become a machine operator assistant with no experience?

To become a machine operator assistant with no experience, start by gaining basic knowledge of manufacturing processes and safety procedures through online courses or training programs. Entry-level positions often require a high school diploma or equivalent, and on-the-job training is provided to learn equipment operation and maintenance. Developing skills in attention to detail, manual dexterity, and understanding of tools can improve your chances of securing a position.

What are the most commonly searched types of Machine Operator jobs in Montreal, QC?

The most popular types of Machine Operator jobs in Montreal, QC are:

Infographic showing various Machine Operator Assistant job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Taxonomist - Legal and Compliance (Hybrid)

Morgan Stanley

Montreal, QC • On-site, Remote

Full-time

Posted 16 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

36th of 152 rated financial services


Job description

We're seeking someone to join our team as a Senior Taxonomist in Enterprise NFR to lead the design, governance, and evolution of enterprise taxonomies and related semantic assets used across the Non-Financial Risk domain. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within NFR Data & Analytics.

NFR Data & Analytics is a function in the Legal and Compliance Division responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like graph analytics. The surveillances and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes. The team also supports the structuring, standardization, and discoverability of NFR information assets through taxonomy, metadata, and semantic capabilities that enable analytics, governance, and AI-driven use cases.

In this role, you will lead the development of enterprise taxonomies and information structures that enhance the discoverability, reuse, and intelligent application of NFR data, enabling advanced capabilities such as semantic search, knowledge graphs, and AI-driven insights. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Provide thought leadership and establish standards for taxonomy design, adoption, and governance across NFR and related stakeholder groups.

Lead taxonomy implementation initiatives from requirements gathering through design, development, governance, and adoption. Partner with Technology and Data teams to operationalize taxonomy and semantic capabilities in enterprise platforms. Own and maintain enterprise taxonomy assets, including lifecycle management, change control, and quality oversight.

Define and enhance taxonomy operating models, governance processes, tooling practices, and user support capabilities. Represent the taxonomy function in NFR and Firmwide working groups, driving alignment on standards, governance, and best practices. Mentor junior team members and guide best practices in taxonomy development.

What you'll bring to the role: At least 8 years of experience of taxonomy and metadata management, information architecture, ontology, or knowledge organization within a large enterprise or similarly complex environment with a Bachelor's degree in library science, information science, computer science or related discipline. Demonstrated ability to lead enterprise-scale taxonomy governance programmes and drive cross-functional adoption. Strong executive stakeholder engagement, communication, collaboration, and change management skills.

Excellent analytical and problem-solving skills, including business/data analysis and concept or entity extraction to support taxonomy development. Experience in the categorization and use of business data in support of business processes such as risk management, vendor management or financial management. Experience using enterprise data, metadata, taxonomy management platforms, and related analytical tooling.

Knowledge of semantic technologies, including SKOS modelling, SPARQL, and broader ontology management practices. Understanding of financial services terminology, operating models, data structures, regulatory requirements, and the application of taxonomy frameworks to business processes such as risk, vendor, financial, or procurement management. All our positions are located in Montreal, Quebec.

We offer a hybrid work environment, combining remote work and attendance in the office. Knowledge of French and English is required. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals.

We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US