Graduate AI Engineer in London

This role is based in London and requires existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role‑by‑role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.

Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real‑time decisions across homes, devices, markets and grids. By combining predictive algorithms with human‑centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.

What will I be doing?

• As an AI Engineer at Kaluza, you will 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.
• 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.

About You

• 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.

What will set you apart

• Experience working with LLMs, generative AI, or retrieval‑augmented generation (RAG) systems in a production setting.
• Background in the energy, utilities, or climate tech sector — or a genuine passion for the clean energy transition.
• Familiarity with real‑time data streaming technologies such as Kafka or Flink, particularly in the context of time‑series forecasting or demand prediction.

Kaluza Values

Here at Kaluza we have five core values that guide us as a business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together.

Our Perks

• Pension Scheme
• Discretionary Bonus Scheme
• Private Medical Insurance + Virtual GP
• Life Assurance
• Access to Furthr - a Climate Action app
• Free Mortgage Advice and Eye Tests
• Perks at Work - access to thousands of retail discounts
• 5% Flex Fund - to spend on the benefits you want most
• 26 days holiday
• Flexible Bank Holidays ‑ Giving you an additional 8 days which you can choose to take whenever you like
• Progressive Leave Policy - With no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
• Personal Learning Budget - Upskill, learn and grow!
• Home Office Budget
• And more!

We want the best people. We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.

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.