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Machine Learning Assistant Jobs in Toronto, ON (NOW HIRING)

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning Qualifications Experience:

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Develop conversational AI systems that assist sales professionals in client interactions and help ... Must-have * A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or ...

Develop conversational AI systems that assist sales professionals in client interactions and help ... Five or more years building Deep Learning or Machine Learning models in production environments.

Training & Development - Access to multiple platforms of learning (online, in person, 3rd party ... assist various charitable groups. JOB REQUIREMENTS: * Distinguish between types of material ...

... voice assistants in customer service, to algorithmic trading in capital markets. A failure to ... The AI validation team uses machine learning, statistical, and computational strategies to assess ...

Lead machine learning projects that drive origination, credit limit and collection strategies ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Ensure data accuracy, traceability, and compliance with industry safety and regulatory standards * Assist with the creation of other machine learning models and pipelines * Monitor and improve agent ...

Lead machine learning projects that drive origination, credit limit and collection strategies ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... clients. * Assist in delivery as AI SME, Solution Architect, or Technical Architect * Provide ... Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks ...

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Machine Learning Assistant information

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.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

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 jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

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 the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Machine Learning Assistant jobs in Toronto, ON? For Machine Learning Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Toronto, ON look for? The top searched job categories for Machine Learning Assistant jobs in Toronto, ON are:
Infographic showing various Machine Learning Assistant job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Machine Operator 1 - SPS

Loram

Toronto, ON

Full-time

PTO

Posted 27 days ago


Loram rating

6.2

Company rating: 6.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

172nd of 218 rated repair and maintenance companies


Job description

Job Description

Job Title: Machine Operator 1

FLSA Status:  Non-Exempt

Department: Operations

Reports to: Assistant Manager, Superintendent or Assistant Superintendent

GENERAL DESCRIPTION / PURPOSE:

Machine Operator 1 (MO1), a field based position, is responsible for operating, maintaining, and repairing company railway maintenance and inspection equipment. This position can operate Loram’s on track MOW equipment and/or on track vehicles with supervision in both operating and travel modes. In this role you may be assigned to various types of equipment platforms dependent on business needs and demands.

ESSENTIAL JOB FUNCTIONS:

Safety Focused

  • Ability to lead a comprehensive and appropriate job briefing during operations shifts, maintenance shifts, and while conducting maintenance tasks.
  • Consistently follows safe work processes, procedures and rules
  • Understands on track safety and can explain specifics when asked
  • Able to locate all emergency equipment and demonstrate correct operation

Machine Operations and Technical Knowledge  

  • Conducts machine inspections to identify problems, defects, changes, and hazards and communicates conditions to the operator or supervisor and performs common repairs as instructed. Provides accurate feedback that allows machine leadership to make maintenance decisions
  • Accurately records and reports common parts used to supervisor, including floor stock
  • Performs maintenance and repairs according to set schedules and policies
  • Accurately describes gauge and HMI functions as they relate to machine operation
  • Demonstrates the ability to document and complete daily field reporting, personal expense reporting, field lodging, and other administrative reporting as necessary

BEHAVIORAL COMPETENCIES:

  • Safety Awareness
  • Values Based
  • Learning on the Fly
  • Action Oriented
  • Listening
  • Personal Learning
Qualifications

Experience:

Internal: 3+ Months Experience working with Loram equipment or equivalent in a 24/7 environment; Some assignments require Excavator experience.  Meet all relevant or applicable pre-qualifications as noted in the general description for this role and Loram’s career development matrix.

External: 2+ Years Demonstrated technical skills such as mechanical, electrical, hydraulic and machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and learn best practices

Licenses/Certifications:  Maintain Railroad Certifications, CPR/First Aid, valid Driver’s License

Slots – 1+ year experience Heavy equipment operator (Backhoe, Excavator, or alike).  Heavy Maintenance/ Construction equipment maintenance.  Basic administration computer skills. Working knowledge of data systems and remote equipment operations cellar or tethered.    

Aurora - Minimum of 1 year computer or technology background. 1 year of working knowledge working with MS Windows.  Preferred radiation experience.  Commercial Driver’s License or able to obtain a Class B. 

PREEMPLOYMENT REQUIREMENTS:

  • This position requires successful completion of a pre-employment physical examination and role-specific assessments. Components may include DOT Physical Exam, Regulated (DOT) DS/BAT, Human Performance Evaluation (HPE), and Audiogram.
  •  Position requires successful completion of an eVerifile/eRailSafe background check as required by Loram’s railroad customers. Ongoing eligibility is subject to compliance with eRailSafe standards.
  •  Must possess and maintain a valid driver’s license. A Motor Vehicle Record (MVR) check will be conducted upon hire and annually thereafter in accordance with Loram’s Driving Policy.
  • Successfully pass a pre-employment drug and alcohol test.

WORKING CONDITIONS: 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 100% travel, including international, using any method of transportation.
  • Ability to apply high levels of cognitive, analytical, retention and reasoning.
  • Excellent communication skills used within any social context.
  • Can stand, sit, walk, reach, balance, stoop, kneel, hear, taste and smell.
  • Can see up close, distances, colors and has use of peripheral vision and depth perception.
  • Can tolerate variable and sometimes extreme physical conditions during visits or inspections of company equipment in a railroad environment.

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.

Starting pay for the position is between $24.00 - $25.00


Additional Information

Equal Opportunity Employer:

Loram is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and respectful workplace. We make all employment decisions based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, national origin, veteran status, or any other characteristic protected by applicable laws in the countries where we operate, including the Equality Act 2010 in the UK, relevant U.S. federal, state, and local laws, Brazil’s anti-discrimination provisions under the Consolidation of Labor Laws (CLT) and Federal Constitution, India’s Equal Remuneration Act and Rights of Persons with Disabilities Act, Australia’s Fair Work Act 2009 and applicable state and territory legislation, and Canada’s human rights protections under the Canadian Human Rights Act and applicable provincial or territorial laws.


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