Machine Learning Engineering Manager (Power)
- Countries
- Hybrid, UK
- Job Types
- software & tech, operations
- Experience
- managers
- Organization Types
- logistics & supply chain
- Location
- UK - Hybrid
- Posted Date
- Company
- Kpler
AI Summary
Job Description
Lead and grow a team of machine learning engineers building production-grade ML models for global trade intelligence. Drive technical direction for MLOps pipelines, automated training, model evaluation, and low-latency inference, while partnering with product and data teams and championing engineering best practices and hiring.
Hard Requirements
- Experience in technical leadership or engineering people management
- Strong software engineering background with production ML pipelines (Python, Docker, Kubernetes)
- Deep understanding of MLOps, workflow orchestration, model serving, cloud infrastructure (AWS)
- Ability to build cross-functional alignment between engineering, data science, and product
Soft Requirements
- Experience scaling streaming ML systems with high-frequency time-series or spatial-temporal data
- Exposure to modern ML platforms, feature stores, distributed compute frameworks
- Familiarity with commodity, maritime, energy, or financial market domains