Elevate supply chain intelligence as a Senior Machine Learning Engineer at Supply Guard AI. You will develop cutting-edge AI models that actively predict supply chain risks from various data sources, enhancing operational efficiency.

In this senior role, you will design and deploy robust machine learning models tailored for risk assessment. Your collaboration with data scientists and industry experts will be crucial to improving model accuracy and implementing best practices in MLOps.

This position plays a significant role in ensuring our AI platform provides early warning systems for potential crises.

Key Responsibilities:

- Design and implement advanced ML models using Python
- Build robust data pipelines for real-time feature engineering




- Optimize ML models for effective production deployment
- Collaborate to enhance model accuracy and effectiveness
- Research and integrate new ML techniques for our applications

Requirements:

- Over 3 years of experience in machine learning
- Expertise in Python, Tensor Flow, and data science
- Experience with data engineering and cloud platforms
- Knowledge of MLOps tools and model deployment practices
- Familiarity with supply chain dynamics preferred

Utilize your advanced skills to transform risk management in supply chains at Supply Guard AI.

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📌 Senior Machine Learning Engineer Role (London)
🏢 SupplyGuard
📍 London