Machine Learning Systems Engineer

Listed as a remote role based in Stockholm, Stockholm County, Sweden. Machine Learning Systems Engineer Stockholm, Sweden — Hybrid EnergyTech | Machine Learning | Renewable Energy | ML Systems Our client, a growing EnergyTech company based in Stockholm, is building ML-powered technology that helps energy providers forecast demand, optimise renewable generation, and improve the performance of critical energy infrastructure. They're looking for a Machine Learning Systems Engineer to take forecasting models from experimentation into reliable, scalable production systems. What You'll Work On • Productionise ML models for energy demand and renewable generation forecasting • Build training, evaluation, and deployment pipelines using Python and MLflow • Develop models using PyTorch and large-scale time-series datasets • Deploy and operate ML workloads on Kubernetes • Monitor model accuracy, drift, reliability, and production performance • Improve automated retraining and model lifecycle workflows • Collaborate with Data Engineers and Energy specialists to turn operational data into production ML products Core Skills • 4+ years in Machine Learning Engineering, ML Systems, MLOps, or similar roles • Python • PyTorch • MLflow • Kubernetes • Time-Series Data • Strong understanding of production ML workflows Nice to Have Forecasting models and time-series ML Energy demand or renewable generation modelling Spark or large-scale data processing AWS or Azure Docker and CI/CD Model observability and drift detection Previous EnergyTech, ClimateTech, or Industrial AI experience Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering Industries Software Development