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No Experience Machine Learning Jobs in Calgary, AB

Viridien

Machine Learning Engineer

Calgary, AB

Experience within Data Engineering/Data Structuring * Experience creating Machine Learning Algorithms and/or Libraries. * Proven experience with deep learning frameworks and usage of DL libraries ...

BigGeo

Spatial AI Engineer

Calgary, AB

No bureaucratic drag, no HiPPO decisions, just a team that agrees on the mission and gets to work ... Experience building and deploying production machine learning models and inference systems, not ...

ALS

Geodata Scientist

Calgary, AB · Remote

Experience applying machine learning to mineral exploration, geological modelling, mineral prospectivity mapping, or related geoscience applications. * Experience with uncertainty quantification ...

AppDirect

Software Developer

Calgary, AB

Exposure to machine learning model integration or building AI-powered product features is an asset ... experience and thought. We respect each AppDirector as their own fingerprint; unique with no one ...

DataVisor

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits 1. Health Insurance, PTO, stock option 2. The ...

DataVisor

Delivery Engineer - Canada

Calgary, AB · Remote

CA$80K - CA$120K/yr

Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits 1. Health Insurance, PTO, stock option 2. The ...

Revsolz Corp

Technical Sales Representative

Calgary, AB · On-site

... machine learning and oil & gas technologies that power it. You will use this knowledge to ... Previous/Current Oil & Gas Engineering Sales experience is preferred. * Excellent ability to manage ...

Elkay Manufacturing

Machine Operator I

Calgary, AB

... and exceptional customer experience. Our commitment to our people and their professional ... Focuses on learning tasks and ensuring quality at all times. * Perform repetitive tasks and handle ...

CARLISLE COMPANIES

Machine Operator

Crossfield, AB

CA$18/hr

Working 40 hours aweekwork weekwith occasional overtime, no travelrequired. Shift Schedule: 3pm ... Education and Experience: Required: * High School Diploma or GED is Preferred * Mustbe at least 18 ...

CARLISLE COMPANIES

Machine Operator

Crossfield, AB

CA$18/hr

Working 40 hours aweekwork weekwith occasional overtime, no travelrequired. Shift Schedule: 11pm ... Education and Experience: Required: * High School Diploma or GED is Preferred * Mustbe at least 18 ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ... Development experience utilizing Java, Kotlin, SQL, Python, Spring framework, Spring Boot, Data ...

Promise Robotics

Software Developer

Calgary, AB

Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras) * Experience with software design and development in a test-driven environment * Being a team player with ...

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All JobsMachine Learning JobsNo Experience Machine Learning JobsNo Experience Machine Learning Jobs in Calgary, AB

No Experience Machine Learning information

See Calgary, AB salary details

$21.5K

$63.7K

$181K

How much do no experience machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for no experience machine learning in Calgary, AB is $63,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $73,500.00 per year, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as skilled trades (electrician, plumber), sales positions (real estate agent, insurance broker), or certain tech roles like freelance web developer or digital marketer. Success in these fields typically depends on experience, skills, certifications, or performance rather than formal education.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

How to make $10,000 a month with no degree?

To earn $10,000 a month with no degree, focus on developing in-demand skills such as machine learning, coding, or digital marketing through online courses and self-study. Freelancing, starting a business, or working in high-paying sales or tech roles can also help achieve this income level without formal education.

How to get into machine learning with no experience?

To enter machine learning with no experience, start by learning programming languages like Python and understanding basic statistics. Gain foundational knowledge through online courses, tutorials, and practicing with datasets using tools like scikit-learn or TensorFlow. Building projects and earning certifications can also help demonstrate your skills to employers.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, which often require extensive experience, advanced skills in programming, data analysis, and deep learning, as well as leadership responsibilities. These positions are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.
What are the most commonly searched types of Machine Learning jobs in Calgary, AB? The most popular types of Machine Learning jobs in Calgary, AB are:
What are popular job titles related to No Experience Machine Learning jobs in Calgary, AB? For No Experience Machine Learning jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning jobs in Calgary, AB look for? The top searched job categories for No Experience Machine Learning jobs in Calgary, AB are:
No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Calgary, AB as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $63,680 per year, or $30.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Posted 24 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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