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Internship Machine Learning Quant Jobs in Alberta

Viridien

Machine Learning Engineer

Calgary, AB

Quantitative Analysis * Web Scraping * Model Development Responsibilities: * Design machine learning systems * Collaborate with stakeholders and technology team to efficiently develop AI solutions.

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Targeted Talent

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

DataVisor

Delivery Engineer - Canada

Calgary, AB · On-site

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 ...

PCL Construction

Data Science Student

Edmonton, AB

Train machine learning systems using data annotation and benchmarking techniques. Help your ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

Clio

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Skills & Qualifications * 8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

... machine learning modeling. • Train machine learning systems using data annotation and ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

... machine learning modeling. • Train machine learning systems using data annotation and ... Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs ...

Clio

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product ... A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ...

Spgi

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... quantitative models in production. Preferred Qualification * Advanced technical degree (Master and ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Alberta

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Alberta? For Internship Machine Learning Quant jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Alberta look for? The top searched job categories for Internship Machine Learning Quant jobs in Alberta are:
What cities in Alberta are hiring for Internship Machine Learning Quant jobs? Cities in Alberta with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Alberta as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 70% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 4 days ago

Job description

Machine Learning Engineer

Location: 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. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

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 in 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 experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

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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