Jobs at Fuse Energy

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.ResponsibilitiesOwn the AI engineering roadmap and lead the development of AI-first featuresProductionize ML models, ensuring scalability, performance, and observabilityDesign the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)Build systems that integrate AI into key parts of our stack, such as:Forecasting customer demand and renewable generationDynamic pricing and energy trading algorithmsIntelligent alerts and personalized customer featuresWork closely with product and engineering leadership to identify high-impact AI opportunitiesBuild and lead a high-performing team of AI engineersRequirementsStrong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teamsDeep experience deploying ML models into production environmentsProficiency in designing scalable data pipelines and real-time inference systemsUnderstanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)Strong cross-functional collaboration skills, particularly with data science and product teamsClear communication and an ability to prioritize for both experimentation and reliabilityBonusFamiliarity with optimization, time series modeling, or forecastingExperience with large language models (LLMs), RAG, or generative AI in productionBackground in MLOps or AI infrastructure at scaleBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflowsCollaborate with backend engineers and data scientists to integrate AI-driven features into our platformsCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricingImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecastsStay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy spaceMonitor the performance of AI tools and models, ensuring they are functioning efficiently and effectivelyRequirementsMinimum 3 years of engineering experienceProven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation and building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest in energy markets and trading strategiesUnderstanding of weather forecasting, energy demand patterns, and production modellingExposure to Natural Language Processing (NLP) or other related fieldsBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees Show more Show less