AI Engineer, Kaluza

• Proven experience as an AI or Machine Learning Engineer, with a strong track record of delivering production-grade models and AI systems
• Proficiency in Python and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of MLOps principles, including model deployment, versioning, monitoring, and CI/CD for ML workflows
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation tools such as Docker and Kubernetes
• A collaborative, product-minded approach — comfortable working in cross-functional agile teams and translating technical work into clear business value
• Strong analytical and problem-solving skills, with the ability to navigate ambiguity and deliver outcomes in a fast-moving environment
• We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you

Desirable

• As an AI Engineer at Kaluza, you'll be at the heart of our mission to accelerate the global clean energy transition — building the intelligent systems that make smarter, faster, and greener energy decisions possible at scale
• Working within a collaborative and forward-thinking engineering team, you'll design and deploy AI-powered solutions that directly shape the future of how energy is produced, distributed, and consumed
• Design, develop, and deploy machine learning models and AI-driven pipelines that power real-time energy optimisation across our platform
• Collaborate closely with product managers, data scientists, and software engineers to translate complex business problems into scalable AI solutions
• Evaluate and integrate large language models (LLMs) and generative AI capabilities into Kaluza's product suite, driving measurable impact for our energy partners
• Build robust, production-ready ML infrastructure — including model serving, monitoring, and retraining pipelines — that operates reliably at global scale
• Champion best practices in MLOps, ensuring models remain accurate, explainable, and aligned with evolving data landscapes
• Contribute to the technical direction of AI at Kaluza by staying ahead of emerging research and bringing new ideas and approaches to the team
• Partner with cross-functional stakeholders to communicate model performance, limitations, and opportunities in a clear, human-centred way