Machine Learning Engineer jobs in Canada

We’re seeking an Applied Data Scientist to join our centralized Data Science team. This role blends technical expertise with consulting skills—you’ll build models and algorithms while working directly with clients and stakeholders to frame problems, translate insights, and deliver measurable business impact.

You’ll rotate between client delivery projects, innovation sprints, and core research, staying connected to both cutting-edge data science and real-world applications.

• Client Delivery & Consulting: Engage with clients to understand their business challenges and translate them into data science problems.
• Present insights, models, and recommendations clearly to both technical and non-technical audiences.
• Act as the bridge between clients, business teams, and technical experts.

• Applied Data Science: Develop and implement machine learning models, statistical analyses, and advanced data workflows.
• Partner with research and prototyping teams to adapt novel algorithms for practical use cases.
• Validate and iterate solutions to ensure they are robust, scalable, and impactful.

• Collaboration & Leadership: Contribute to a culture of knowledge sharing through peer mentorship, workshops, and technical write-ups.
• Support the team’s innovation agenda by testing and applying new AI/ML techniques.

Desired Skills & Experience

• Strong background in data science, statistics, or applied machine learning.
• Proven experience working in client-facing or stakeholder-heavy roles (consulting, delivery, or internal advisory).
• Hands-on skills in Python, SQL, and ML frameworks (PyTorch, TensorFlow, RAPIDS is a plus).
• Ability to move fluidly between technical modeling and business storytelling.
• Excellent communication skills with a collaborative mindset.
• Graduate degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, or related field.
• Experience with modern ML methods such as deep learning, transformers, or generative models.
• Familiarity with agile methods for research and prototyping.

• Requirements contingent on employment: Fulfill requirements necessary to obtain full background check.

Why You’ll Love Being Part of Our Team

• Competitive Compensation and Equity
• Flexible Work – Hybrid or Remote
• Comprehensive health benefits and wellness programs
• Professional development opportunities
• Flexible Time Off
• Company Matched Retirement Plans
• Unplug and recharge - 4 company-wide digital detox days annually

At the heart of our global success lies commitment to diversity and inclusion. We rigorously enforce an equal opportunity policy in all aspects of employment, championing merit and qualifications as our benchmarks. MindBridge is a proud equal opportunity employer, embracing applicants of all backgrounds without regard to race, nationality, religion, gender, disability, or any other factors.

At MindBridge, we are committed to providing an accessible candidate experience. If you require accommodations during the interview process or beyond, please inform us. We will work with you to provide necessary support and reasonable accommodations while maintaining confidentiality. Your comfort and participation are paramount to us.

Note: We may use AI tools in the processing of your application.