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Machine Learning Engineer New Grad Jobs in Manitoba

PepsiCo

PepsiCo Canada: Sales 2027 New Grad

Winnipeg, MB · On-site

Learning how PepsiCo's OneCan approach brings our brands, customers, and sales strategies together ... Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities ...

PepsiCo

PepsiCo Canada: Sales 2027 New Grad

Winnipeg, MB · On-site

Learning how PepsiCo's OneCan approach brings our brands, customers, and sales strategies together ... Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities ...

Laivly

Senior Cloud Engineer

Winnipeg, MB

Our solutions help the world's biggest brands leverage artificial intelligence, machine learning ... As Senior Cloud Engineer, you'll be a senior individual contributor focused on building secure ...

New Flyer

CNC Programming Coordinator

Winnipeg, MB · On-site

Develop new and improved methods to maximize program and machine efficiency. * Produces and ... On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023)

iQmetrix

Senior Data Engineer

Winnipeg, MB · On-site

... workflows, machine learning, and emerging AI use cases. * Build reliable, reusable, and well ... Partner with product, software engineering, analytics, and AI stakeholders to translate business ...

Laivly

Senior Full Stack Software Developer

Winnipeg, MB · On-site +1

Our solutions help the world's biggest brands leverage artificial intelligence, machine learning ... Bring your ideas and try new things * Perform other duties as required As Senior Software Developer ...

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Showing results 1-20

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Manitoba

Machine Learning Engineer New Grad information

See Manitoba salary details

$26.5K

$109.4K

$202.5K

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

As of Sep 11, 2026, the average yearly pay for machine learning engineer new grad in Manitoba 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?

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 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 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 cities in Manitoba are hiring for Machine Learning Engineer New Grad jobs?

Cities in Manitoba with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Manitoba as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 68% Full Time, 28% Part Time, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.

Actuarial Analyst - New Grad

Winnipeg, MB • Hybrid

Wawanesa Insurance
Insurance Services • 1 - 5K employees
Learn more about Wawanesa Insuranceexternal

CA$64K/yr

Full-time, Part-time

Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality.

  • Supports the business and overall team by performing analyses/reviews and supporting ad-hoc requests/special projects in a timely manner.

  • Evaluates existing processes to find areas for increased efficiency and identifies opportunities for automation of routine tasks.

Job description

Job ID: 10268 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role requires regular interaction with internal and external stakeholders across Canada where the primary business language utilized is English.As such, the successful candidate must be fully proficient in English.   
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary starts at $64,150. 

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Working with a high degree of autonomy, the Actuarial Analyst provides contributions based on knowledge from the actuarial exam system, and prior relevant academic or work experience. They will apply their knowledge to actuarial analysis in the pursuit of solving business issues and answering business questions.

This role is intended for Actuarial Students who are completing their studies and looking to be considered for full-time, new grad roles at Wawanesa.

Job Responsibilities

  • Analytical
    • Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality
    • Supports the business and overall team by performing analyses/reviews and supporting ad-hoc requests/special projects in a timely manner with support from peers and leaders
  • Process Improvement/Efficiency
    • Evaluates existing processes to find areas for increased efficiency
    • Identifies opportunities for automation of routine tasks
  • Industry
    • Builds insurance knowledge through industry and mainstream news publications
    • Encouraged to represent Wawanesa at external events that may include universities and actuarial clubs
  • Commitment to Learning
    • Commits to professional development and continuous experiential learning to build cross-functional knowledge, technical skills, and mastery in competencies
  • Stakeholder Management
    • Learns who the relevant stakeholders are for key work projects.
  • Project Management
    • Develops awareness and understanding of the different teams that actuaries connect with. Learns how their work connects to the actuarial work.
  • Coaching & Developing Others
    • Reviews analysis of peers and provides thoughtful feedback on reasonableness, completeness and accuracy
Qualifications
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or other related discipline
  • Actuarial or related experience an asset
  • Working towards ACAS designation; 1 CAS exams an asset
  • Communication/Building Relationships
    • Strong oral and written communication skills, demonstrating the ability to convey business terminology and insights that are meaningful and well received
    • Ability to clearly document work and present results to colleagues
    • Ability to ask questions in a manner that yields the required knowledge and/or information
    • Expands business acumen by building relationships with colleagues in other functions
  • Computer/Programming Skills
    • Basic knowledge of Excel, SQL, R, Python and/or other related software/programming languages/actuarial software
    • Ability to adapt to new enterprise system environments
  • Problem solving
    • General knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business, and developing ability to apply this knowledge to problems in insurance
    • Ability to suggest ideas for possible solutions to problems
  • Detail oriented
    • Good attention to detail when performing analysis with minimal significant technical errors
    • Understanding of need to balance materiality/efficiency and accuracy/detail
  • Time Management/Organization
    • Ability to handle multiple concurrent assignments in a timely manner, working with leader to prioritize tasks
  • Conflict Management/Teamwork
    • Ability to work efficiently and co-operatively in a team environment. Helps team with value-add tasks.
  • Actuarial Standards
    • Builds knowledge of current industry and professional standards as they directly relate to individual responsibilities


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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