ML Engineer

1119198
  • Job type

    Contract
  • Location

    Toronto
  • Profession

    Data & Advanced Analytics
  • Industry

    Retail & Consumer Goods
  • Pay

    Flexible
  • Closing date

    18 Dec 2025

Hiring a Lead Machine Learning Engineer - 6 month contract

Your new company

Join a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.

Your new role

  • Architecting and implementing advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user behavior, item features, offer data, and contextual signals
  • Leading the development and optimization of generative AI applications for personalized product discovery, search enhancement, and customer engagement
  • Designing and maintaining highly scalable ML infrastructure using GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions
  • Building and optimizing end-to-end ML pipelines for model training, deployment, and monitoring at scale
  • Driving architecture decisions for the personalization platform
  • Collaborating with product managers, data scientists, and engineers to translate business requirements into robust technical solutions
  • Leading experimentation strategies with measurable KPIs including adoption, conversion, and retention

What you'll need to succeed

  • Master's or PhD in Computer Science, Machine Learning, or related field
  • 7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization
  • Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building production-grade ML systems
  • Proven experience with GCP services and ML infrastructure at scale
  • Proficiency in Python, SQL, and cloud-native development
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Track record of deploying ML models to production at scale
  • Experience with multimodal deep learning architectures and generative AI models
  • Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering)
  • Expertise in building real-time inference systems

What you'll get in return

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • A collaborative and inclusive work environment
  • Access to cutting-edge technologies and projects
  • The chance to work with industry leaders and innovators

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.


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Apply for this job

Talk to Jamie Dunne, the specialist consultant managing this position

Located in Calgary (EN), Unit 1550, 639 5th avenue SWTelephone:  4033138967