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Train Engineer Jobs in Alberta (NOW HIRING)

Junior Machine Learning Engineer

Calgary, AB · On-site

CA$80K - CA$95K/yr

Develop, train, test, and evaluate conventional machine learning and deep learning models. * Work with structured and unstructured data to support model development, feature engineering, and data ...

Key ResponsibilitiesSpatial AI Model Development Design, train, and iterate on machine learning ... Data Engineering and Pipelines Build pipelines for ingesting, cleaning, transforming, and preparing ...

Train team members in the use and best practices of steady state and transient software packages ... Engineering Degree in Mechanical, Process / Chemical, or sufficient specialization in the relevant ...

Train team members in the use and best practices of steady state and transient software packages ... Engineering Degree in Mechanical, Process / Chemical, or sufficient specialization in the relevant ...

... Engineer. This role is ideal for a doer-seller who servesas a trusted advisor to clients, builds ... Mentor, coach and train less experienced professionals, as required * Own and grow strategic client ...

... Engineer. This role is ideal for a doer-seller who servesas a trusted advisor to clients, builds ... Mentor, coach and train less experienced professionals, as required * Own and grow strategic client ...

... Engineer. This role is ideal for a doer-seller who servesas a trusted advisor to clients, builds ... Mentor, coach and train less experienced professionals, as required * Own and grow strategic client ...

... Engineer. This role is ideal for a doer-seller who servesas a trusted advisor to clients, builds ... Mentor, coach and train less experienced professionals, as required * Own and grow strategic client ...

Showing results 41-60

Train Engineer information

See Alberta salary details

$10

$58

$97

How much do train engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for train engineer in Alberta is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $74.76 per hour, depending on experience, location, and employer.

What is a train engineer?

Train engineers, also known as locomotive engineers, are professionals responsible for operating trains that transport passengers or freight. They control the speed, handling, and braking of the train, ensuring it runs safely and on schedule. Train engineers must be highly attentive, follow safety regulations, and be able to respond quickly to unexpected situations. Their work often involves collaborating with conductors and other rail workers to ensure smooth and safe train operations.

What are the key skills and qualifications needed to thrive as a train engineer?

To thrive as a Train Engineer, a solid understanding of railway operations, mechanical systems, and safety regulations is essential, typically supported by a high school diploma and completion of a railroad training program. Familiarity with train control systems, signaling technology, and certification from the Federal Railroad Administration (FRA) are commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for responding to unexpected situations and coordinating with crew members. These skills and qualifications are critical for ensuring the safe and efficient operation of trains, protecting passengers, cargo, and railway infrastructure.

What are some common challenges train engineers face during daily operations, and how are they typically addressed?

Train Engineers often encounter challenges such as managing unexpected delays, adverse weather conditions, or mechanical issues with locomotives. To address these, they rely on clear communication with dispatchers and maintenance crews, adhere strictly to safety protocols, and follow established troubleshooting procedures. Ongoing training ensures engineers are prepared for emergencies and can make quick, informed decisions to maintain passenger safety and schedule reliability. Collaboration with other railroad staff is essential for resolving issues efficiently and minimizing disruptions.

What is the difference between Train Engineer vs Locomotive Operator?

AspectTrain EngineerLocomotive Operator
Required CredentialsCommercial driver's license, safety certifications, technical trainingSimilar certifications, safety training, technical knowledge
Work EnvironmentTrain cabins, rail yards, maintenance facilitiesLocomotive cabs, rail yards, on-track operations
Employer & IndustryRailroads, freight and passenger servicesRailroads, freight companies, transit agencies
Common Search/ComparisonYesYes

Both Train Engineers and Locomotive Operators are essential roles in rail transportation, requiring similar certifications and working in comparable environments. While the terms are often used interchangeably, 'Train Engineer' typically emphasizes operating passenger or freight trains, whereas 'Locomotive Operator' may focus more on the technical operation of locomotives. Understanding these nuances helps job seekers find the right position in the rail industry.

Do train engineers make good money?

Train engineers typically earn a median annual salary of around $60,000 to $70,000, with experienced professionals and those working for major rail companies earning higher wages. Salaries can vary based on location, experience, and certifications such as locomotive engineer licenses. The job often includes shift work and safety training requirements.

How do you get a job as a train engineer?

To become a train engineer, candidates typically need a high school diploma or equivalent, followed by specialized training provided by the employer or a technical school. They must obtain a locomotive engineer license from the Federal Railroad Administration, which involves passing written and skills tests, and often requires prior experience as a train conductor or in a related role.

Is there a demand for train engineers?

Train engineers are in steady demand due to the ongoing need for freight and passenger transportation. Employment opportunities often depend on the transportation industry’s growth, infrastructure investments, and the availability of qualified personnel with proper certifications and experience.

What does a train engineer do?

A train engineer, also known as a locomotive engineer, operates and controls trains to ensure safe and efficient transportation of passengers or freight. They monitor signals, control speed, and communicate with dispatchers, often working in a cab with specialized equipment. Certification and adherence to safety protocols are essential in this role.

What are popular job titles related to Train Engineer jobs in Alberta?

For Train Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Train Engineer jobs in Alberta look for?

The top searched job categories for Train Engineer jobs in Alberta are:

Infographic showing various Train Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,526 per year, or $58.4 per hour.

Junior Machine Learning Engineer

ALS

Calgary, AB • On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.