An exciting opportunity based in Toronto, Canada (hybrid), with a fast‑growing, product‑driven company building innovative financial technology solutions. This full‑time role focuses on designing and scaling up-to-date machine learning systems using technologies such as Python, PyTorch, Scikit‑learn, and cloud platforms. This is a unique chance to join a high‑growth team at a pivotal stage – where product‑market fit is established and innovation is accelerating. The company is looking for someone who thrives on building impactful ML solutions end‑to‑end and enjoys working in a fast‑paced environment. If you’re passionate about deploying scalable AI systems, optimizing performance, and influencing critical production decisions, this role is for you.

Required Skills & Experience

- Strong experience in Python
- Experience with machine learning libraries (Scikit‑learn, LightGBM, PyTorch)
- Hands‑on experience with data manipulation tools (Pandas, NumPy) and SQL/NoSQL databases




- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Knowledge of MLOps practices, including CI/CD pipelines

Desired Skills & Experience

- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Experience building and deploying machine learning models in production

What You Will Be Doing

Tech Breakdown

- 50% Machine Learning Model Development
- 25% Data Engineering & Pipeline Development
- 15% MLOps & Deployment
- 10% Collaboration & Strategy

Daily Responsibilities

- 65% Hands On
- 10% Management Duties
- 25% Team Collaboration

You Will Receive The Following Benefits

- Medical, Dental, and Vision Insurance
- Vacation Time

Applicants must be currently authorized to work in Canada on a full‑time basis now and in the future.

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📌 Machine Learning Engineer (Toronto)
🏢 Motion Recruitment
📍 Toronto