Staff Machine Learning Engineer

EDITED

Remote regions

Global

Benefits

5w PTO

Similar Jobs

See all

CORE RESPONSIBILITIES:

  • End-to-End Engineering: Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
  • MLOps Ownership: Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
  • Architectural Leadership: Build high-performance data pipelines ETLELT for both training and real-time inference.

PRODUCT-MINDED ENGINEERING:

  • User-Centric Focus: Build models to solve specific problems for our customers and internal teams.
  • Outcome over Output: Prioritise delivering a working solution that solves a business challenge
  • Iterative Discovery: Work in the "grey area," using data and user feedback to refine your technical approach.

YOUR SKILLS & EXPERTISE:

  • ML Fundamentals: Strong proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn
  • Agentic AI: Hands-on experience with modern AI orchestration tools such as LangChain and LangSmith.
  • Production Excellence: Proven experience with Docker, Kubernetes, and cloud infrastructure AWS/GCP/Azure

EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.

Apply for This Position