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Machine Learning Engineer New Grad Jobs in Calgary, AB

Hays

Data Scientist - Specialist

Calgary, AB · Hybrid

Your New Role As a Data Scientist - Specialist, you will play a key leadership role in advancing ... You will design and implement advanced statistical and machine learning models while helping to ...

TELUS

Senior Data Analyst (L4)

Calgary, AB

GCP Professional Machine Learning Engineer Certification * Working knowledge of leveraging Claude in the workflows * Experience with Google Vertex AI or Kubeflow for ML orchestration * Background in ...

Royal Bank of Canada

Staff AI Engineer

Calgary, AB · On-site

... and machine learning, has access to rich and massive datasets, and offers the computational ... Expand your limits and create a new future together at RBC. Find out how we use our passion and ...

Data Elephant Inc

Senior AI / ML Engineer

Calgary, AB

Implement and operationalize machine learning models (training, deployment, monitoring) * Work with ... Come join a growing organization helping clients take a new, lean and value-driven approach to data ...

Revsolz Corp

Technical Sales Representative

Calgary, AB · On-site

... engineering, cloud computing, artificial intelligence, and machine learning. If you are excited ... Meet and exceed targets - Achieve monthly and quarterly individual and team goals for new customer ...

PwC

AI & Advanced Analytics, Senior Manager

Calgary, AB

CA$168K - CA$218K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Clio

Senior Data Scientist

Calgary, AB · Hybrid

CA$160K - CA$184K/yr

... feature engineering to automated monitoring). Optimize model accuracy using advanced techniques. * Innovate new techniques in statistical analysis, machine learning, and data mining to unlock ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Calgary, AB

Machine Learning Engineer New Grad information

See Calgary, AB salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning engineer new grad in Calgary, AB is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Calgary, AB? The most popular types of Machine Learning Engineer New Grad jobs in Calgary, AB are:
What are popular job titles related to Machine Learning Engineer New Grad jobs in Calgary, AB? For Machine Learning Engineer New Grad jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Calgary, AB look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Calgary, AB are:
Machine Learning Engineer New Grad jobs near you
Data Scientist - Specialist

Data Scientist - Specialist

Hays

Calgary, AB • Hybrid

Other

Posted 8 days ago

Job description

Role: Data Scientist – Specialist (Contract)

Length: 1 year (potential for extension)

Location: Calgary (Hybrid, 2 days onsite)


Your New Company

An established and highly respected North American enterprise is investing heavily in its Data & Analytics capabilities to drive innovation and business transformation. With a strong focus on modern data platforms, advanced analytics, and scalable AI solutions, the organization is building out a high-impact team focused on delivering enterprise-wide insights and data-driven decision-making.


Your New Role

As a Data Scientist – Specialist, you will play a key leadership role in advancing the organization’s data science and analytics capabilities. You will design and implement advanced statistical and machine learning models while helping to shape the broader analytics framework and Big Data strategy.

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases.

Key responsibilities include:

  • Designing, developing, and deploying machine learning models and algorithms to drive enterprise analytical products
  • Leading the rollout and adoption of Big Data and advanced analytics capabilities across the business
  • Applying advanced statistical and mathematical techniques to solve complex business problems
  • Partnering with Data Engineers and SMEs to understand raw data, engineer features, and optimize model performance
  • Identifying patterns, anomalies, and optimization opportunities using advanced data science techniques
  • Collaborating with cross-functional teams to deliver scalable, production-ready solutions using agile/MVP methodologies
  • Translating complex analytical findings into clear, actionable insights for business stakeholders through visualizations and storytelling
  • Influencing and promoting data-driven decision-making and analytics maturity across the organization


What You’ll Need to Succeed

  • Strong experience in data science, machine learning, and statistical modeling in enterprise environments
  • Deep expertise in statistical analysis, mathematical modeling, and algorithm development
  • Hands-on experience working with large-scale datasets and modern data platforms (Big Data environments)
  • Strong proficiency in Python (or similar language) and data science libraries
  • Experience working closely with Data Engineering teams on feature engineering and data pipelines
  • Proven ability to deliver end-to-end analytical solutions—from ideation through production
  • Strong stakeholder communication skills with the ability to translate technical findings into business insights
  • Experience working in agile environments and delivering MVP-based product releases
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field


What You’ll Get in Return

  • Opportunity to work on high-impact enterprise analytics and AI initiatives
  • Exposure to cutting-edge data platforms and advanced data science use cases
  • Collaborative, cross-functional team environment with strong technical leadership
  • Competitive compensation and long-term contract potential
  • A role where you can directly influence organizational data strategy and innovation


What You Need to Do Now

If you’re interested in this opportunity, please apply directly or reach out with your updated resume to learn more.

Apply