Graduate AI Engineer

• Design, develop, and deploy machine learning models and AI-driven pipelines for real-time energy optimization.
• Collaborate with product managers, data scientists, and engineers to translate business problems into scalable AI solutions.
• Evaluate and integrate LLMs and generative AI into Kaluza's product suite.
• Build production-ready ML infrastructure including model serving, monitoring, and retraining pipelines.

This role accelerates the global clean energy transition by building intelligent systems that make energy decisions smarter, faster, and greener at scale.

• Proven experience as an AI or Machine Learning Engineer with production-grade models.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Solid understanding of MLOps principles and CI/CD for ML workflows.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Salary: £35,000 - £45,000 per year. Perks include pension scheme, discretionary bonus, private medical insurance, life assurance, 26 days holiday, flexible bank holidays, progressive leave policy, personal learning budget, home office budget, and more.

Kaluza is the Energy Intelligence Platform that helps energy companies overcome challenges and accelerate the shift to a clean, electrified future by orchestrating millions of real-time decisions across homes, devices, markets, and grids.