1

Machine Learning Engineer New Grad Jobs in Manitoba

Our solutions help the world's biggest brands leverage artificial intelligence, machine learning ... You'll work closely with Technical Solutions, Product, and Engineering to solve difficult problems ...

Sharing knowledge with peers and contributing to team learning and development. * Identifying and ... New Zealand, the United States and/or the United Kingdom. CNL implements security screening in ...

Work closely with Engineering to evaluate applicability of new option variants for implementation ... A continuous learning environment. * Ability to advance your career with a growing company. * NFI ...

We are currently seeking a Civil Engineer to join our Linear Municipal Infrastructure team. Our ... always learning; always adapting; always growing; * Creativity: discover new possibilities;

Overview We are currently seeking a Civil Engineer to join our Linear Municipal Infrastructure team ... always learning; always adapting; always growing; * Creativity: discover new possibilities;

Showing results 41-60

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 12, 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:

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.

Engineering Manager - Custom Castings

Winnipeg, MB โ€ข On-site

Full-time

Posted 22 days ago


Job description

Custom Castings is a member of the Nordstern Group of Companies, which also includes Protek Surface Technologies, Forte Tooling Technologies, and Sure Cast Aluminum Foundry. We are an integrated, single-source solutions provider delivering consistent, high-quality aluminum permanent mold castings to our customers. 

We are currently seeking an experienced Engineering Manager to lead our Design Engineering team and coordinate engineering resources across the Nordstern Group of Companies. 

Why Join Custom Castings? 
What makes us a Great Place to Work? Our people and our culture matter! We are committed to fostering a diverse, inclusive, and respectful workplace where values are recognized. We also offer a strong total rewards package, including: 

  • $2000 hiring bonus 

  • Competitive Salary 

  • 4-day workweek for weekday shifts and 3-day workweek for weekend shifts 

  • Off-shift premiums 

  • Paid lunch and coffee breaks 

  • Absent Time Paid hours 

  • Full benefits package including RRSP matching 

  • Comprehensive training program 

  • Opportunities for career advancement 

  • Work boots and Safety Glasses reimbursement 

  • Continuous Improvement culture with employee rewards 

  • Active Social Committee 

Key Responsibilities: 
Engineering Team Coordination 

  • Actively manage and lead the Design Engineering team with clear expectations, accountability, and technical support. 

  • Control the intake and prioritization of engineering requests across the Group based on customer needs, business impact, urgency, and available capacity. 

  • Balance workload across the shared engineering resource pool and resolve competing priorities while serving as the primary escalation point for day-to-day Design Engineering matters. 

New Product Development & Customer Coordination 

  • Act as the primary engineering contact for external customers during new product development, from initial design review through production launch. 

  • Maintain clear communication with customers on project status, technical issues, risks, and required decisions. 

Tooling Design Systems & Standards 

  • Develop and maintain tooling design standards, review processes, and engineering best practices. 

  • Incorporate lessons learned from tooling trials and production performance into future designs. 

  • Drive improvement toward first-shot success, with fewer tooling revisions and launch delays. 

Manufacturing & Technical Support 

  • Lead or support structured problem-solving where engineering input is required. 

  • Support quotation, FAI, PPAP, and other technical activities requiring engineering input. 

Cross-Functional & Business Support 

  • Work closely with Operations, Quality, Tooling, Maintenance, Sales, and senior leadership across the Group. 

  • Identify technical risks, resource constraints, and priority conflicts early and ensure appropriate action is taken. 

  • Provide visibility on engineering workload, priorities, project status, and significant risks. 
     

What You Bring: 

  • Post-secondary education in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Engineering Technology, or a related discipline. 

  • 7+ years of engineering experience in a manufacturing environment, including demonstrated experience leading projects, coordinating technical work, and/or mentoring engineering staff. 

  • Previous experience leading, supervising, or mentoring engineering professionals is strongly preferred. 

  • Demonstrated experience in mechanical design, tooling, manufacturing processes, new product development, and customer-facing technical projects. 

  • Foundry, aluminum casting, machining, tooling, or related manufacturing experience would be considered an asset. 

  • Strong people leadership, coaching, and team development skills. 

  • Strong project management, prioritization, and organizational capability. 

  • Strong customer communication and cross-functional collaboration skills. 

  • Strong mechanical design and manufacturing knowledge. 

  • Familiar with 3D CAD modelling and engineering drawing generation. 

  • Practical, hands-on problem-solving capability. 

  • Ability to balance customer requirements, technical needs, manufacturability, cost, and timing. 

  • Exposure to casting simulation or solidification software is considered an asset. 
     

Work Environment:

  • Combination of office and manufacturing-floor work. 

  • Regular interaction with foundry, tooling, machining, finishing, assembly, maintenance, and other manufacturing environments across the Group. 

  • Exposure to industrial machinery, elevated temperatures, and molten-metal processes. 

Powered by JazzHR

q5JeJPzVFQ