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Machine Learning Engineer New Grad Jobs in Calgary, AB

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 ...

... in 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 Architecture & Engineering: Design and build robust data pipelines and architectures on Google ... Conduct in-depth exploratory data analysis and apply statistical methods, machine learning ...

Systems Developer Company Overview Stream Systems (www.streamsystems.ca) is a leading-edge ... Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application ... You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application ... You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that ...

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

Manager AI

Calgary, AB · On-site +1

Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient ... Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Strong programming skills in Python for data analysis, automation, and visualization.

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Strong programming skills in Python for data analysis, automation, and visualization.

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Showing results 1-20

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 Jul 23, 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 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:
Infographic showing various Machine Learning Engineer New Grad job openings in Calgary, AB as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.
AI & Advanced Analytics, Senior Manager

AI & Advanced Analytics, Senior Manager

PwC

Calgary, AB • On-site

CA$168K - CA$218K/yr

Full-time

Posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 57 rated business consultants


Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
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 decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

The Opportunity:

As anAI & Advanced Analytics, Senior Manager,unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career.Our AI & Advanced Analytics practice is growing, andwe'relooking for aSenior Managerto lead a portfolio of client engagements, drive business development, and help shape the direction of our AI capability in Western Canada.

As a Senior Manager,you'lloperateas a key leader within the practice, accountable fordeliveryquality across multiple concurrent engagements, trusted advisor to clients, and an active contributor to the growth of our pipeline and our people.You'lllead AI programs end-to-end: setting up governance andoperatingmodels, directing technical teams to build and deploy AI solutions, and ensuring clients realize measurable value.

This is a client-facing role withsignificant timespent on-site or in PwC offices.The location of this role is in Calgary, Alberta.

Your role will include, butisn'tlimited to:

  • Lead multiple concurrent client engagements, owningdelivery quality, commercial performance, risk, and client satisfaction.

  • Direct full-lifecycle AI programs-from use case identification and prioritization through model development, deployment, and value realization.

  • Establish andoperateAI governance frameworksfor clients, including responsible AI, model risk management, data governance, and operating model design.

  • Build theoperational backboneof client AI programs: intake, prioritization, delivery cadences,MLOps, and performance measurement.

  • Provide direction to data scientists, ML engineers, and data engineers as theydesign, build, and deployproductionAI/ML solutions.

  • Act as a trusted advisor tosenior client executives, shaping AI strategy and translating it into actionable roadmaps.

  • Manage senior stakeholder relationships across business, technology, and risk functions, aligning competing priorities and driving outcomes.

  • Communicate complex technical concepts to non-technical audiences with clarity and credibility.

  • Contribute to the practice's commercial agenda:identifyand qualify opportunities, lead proposals and RFP responses, and shape solution offerings.

  • Expand existing accounts byidentifyingadjacentvalueand bringing the right PwC capabilities to the table.

  • Contribute to thought leadership, points of view, and go-to-market assets that strengthen our market position.

  • Lead, coach, and develop managers, consultants, and technical specialists across your engagements.

  • Provide performance feedback, mentorship, and career sponsorship as part of PwC's coaching culture.

  • Contribute to recruiting, onboarding, and capability building within the practice.

What You'll Bring:
Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:

  • Experienceidentifying, prioritizing, and delivering AI / advanced analytics use cases end-to-end

  • Experience building and running AI programs, including governance and strategy/operations components

  • Proven ability to work with senior stakeholders (including C-suite) to define business outcomes from AI initiatives

  • Strong client-facing and delivery experience, working across both business and technical teams

  • Demonstratedtrack recordof delivering AI/analytics solutions in real environments

  • Consulting experience (boutique or large firms) strongly preferred, with a profilesimilar tohigh-performing consultants

  • Ability to translate business problems into scalable AI use cases and drive execution

  • Experience coordinating cross-functional teams to implement and deploy solutions

  • Preferred industry exposure to utilities & energy or public sector (nice-to-have, not mandatory)

  • Master's degreerequired(e.g., Computer Science, MBA, or similar)

  • Technical background is a plus but notrequired

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $168,000 - $218,000. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

April 8, 2026We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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