30 Aug
|
SupplyGuard
|
London
30 Aug
SupplyGuard
London
SupplyGuard AI leverages advanced machine learning to predict supply chain risks before they become crises. Our AI models analyze thousands of data sources including financial reports, news feeds, regulatory changes, and trade data to provide early warning systems for supply chain disruptions. We're building the most sophisticated supply chain intelligence platform in the market.
About This Role
As a Machine Learning Engineer, you'll be responsible for developing and deploying AI models that power our risk assessment and prediction capabilities. You'll work with large-scale datasets from multiple sources to build models that can accurately predict supply chain disruptions, supplier failures, and compliance risks.
Key Responsibilities - Design and implement ML models for risk assessment and prediction using Python, TensorFlow/PyTorch
Build data pipelines for real-time feature engineering from multiple data sources
Optimize model performance and deployment strategies for production settings
Collaborate with data scientists and domain experts to improve model accuracy
Implement MLOps best practices including model versioning, monitoring, and A/B testing
Develop APIs for model serving and integration with our platform
Research and implement new ML techniques for supply chain applications What You'll Bring - 3+ years experience with Python, TensorFlow/PyTorch in production ML systems
Solid background in statistics, machine learning, and data science
Experience with data engineering, ETL pipelines, and big data technologies
Knowledge of cloud ML platforms (AWS SageMaker, Azure ML) and MLOps tools
Experience with production ML model deployment and monitoring
Understanding of supply chain domain or willingness to learn quickly
Experience with real-time data processing and streaming analytics Access to cutting-edge AI/ML tools and infrastructure Conference attendance and training opportunities in ML/AI Competitive salary with equity options in a growing AI company Versatile work hours and remote options Collaboration with leading AI researchers and domain experts Opportunity to publish research and contribute to open source Direct impact on global supply chain risk management Interested in this role? Join our team and help us revolutionize supply chain intelligence.
📌 Machine Learning Engineer London
🏢 SupplyGuard
📍 London