Kaluza
Graduate AI Engineer
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Graduate AI Engineer
AI Engineer (Entry Level)
Location: London (5 days in the office) Salary: £35,000–£45,000 Team: CEO Office
About the Role
This role is based in London and requires existing right to work in the UK. At this time, visa sponsorship is not available for this position. We encourage you to check our careers site for future opportunities where sponsorship may be offered.
At Kaluza, we power the Energy Intelligence Platform, transforming complexity into seamless energy coordination. We help companies navigate today’s energy challenges while accelerating the shift to a cleaner, electrified future. Our platform efficiently manages real-time decisions across homes, devices, markets, and grids—combining predictive algorithms with human-centred design to ensure clean energy is dependable, affordable, and adaptable.
We work globally, with locations across Europe, North America, Asia, and Australia, and a partnership with Mitsubishi Corporation in Japan. Our clients include industry leaders like OVO, AGL, ENGIE, as well as innovators such as Volvo and Volkswagen.
Your Responsibilities
As an AI Engineer at Kaluza, you’ll drive our mission to accelerate the global clean energy transition by building intelligent systems that enhance smarter, faster, and greener energy decisions. You’ll work in a collaborative and forward-thinking engineering team to design AI-powered solutions that shape how energy is produced, distributed, and consumed.
- Design, develop, and deploy machine learning models and AI-driven pipelines for real-time energy optimisation across our platform.
- Collaborate with product managers, data scientists, and software engineers to translate complex business problems into scalable AI solutions.
- Integrate and evaluate large language models (LLMs) and generative AI to deliver measurable impact for our energy partners.
- Build robust MLOps infrastructure, including model serving, monitoring, and retraining pipelines, ensuring global scalability.
- Champion best practices in MLOps, ensuring models remain accurate, explainable, and aligned with evolving data.
- Contribute to the technical direction of AI by staying ahead of emerging research and innovating with new approaches.
- Partner with stakeholders to communicate model performance, limitations, and opportunities in a clear, human-centred way.
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Requirements
Ideal candidates will have:
- Proven experience as an AI or Machine Learning Engineer, with a track record in production-grade models and systems.
- Proficient in Python, alongside hands-on experience with:
- ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Cloud platforms (AWS, GCP, or Azure) and tools such as Docker and Kubernetes.
- Strong understanding of MLOps, including:
- Model deployment, versioning, monitoring, and CI/CD for ML workflows.
- Collaborative and product-focused mindset, comfortable working in cross-functional agile teams and bridging technical work with business value.
- Strong analytical and problem-solving skills, with adaptability in fast-paced environments.
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What Will Set You Apart
- Experience with LLMs, generative AI, or retrieval-augmented generation (RAG) systems in production.
- Background in energy, utilities, or climate tech, or a passion for the clean energy transition.
- Familiarity with real-time data streaming (e.g., Kafka, Flink), especially for time-series forecasting or demand prediction.
Kaluza Values
We guide our business with five core values:
- Play to win
- Solve the real problem
- Build trust every day
- Own the outcome
- Go further together
Our Benefits
- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- Access to Furthr (Climate Action app)
- Free Mortgage Advice & Eye Tests
- Perks at Work (retail discounts)
- 5% Flex Fund (customisable benefits)
- 26 days holiday + 8 flexible bank holidays
- Progressive Leave Policy (e.g., 26 weeks full pay for parental leave)
- Personal Learning Budget (upskilling support)
- Home Office Budget
Who We Are
We empower teams from diverse backgrounds because different perspectives create better work. Talent is judged by merit and potential, not by ticking all boxes. If you’re excited by our mission and bring some (even a portion) of what we’re looking for, we’d love to hear from you.
For more details about working at Kaluza, visit our Careers Page and LinkedIn. Also see our Applicant Data Protection Policy.
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