Applied AI Engineer

Salary: £63,000 - 103,000 per year

Requirements:

• Minimum 3 years of engineering experience
• Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
• Strong programming skills in Python or similar languages, with familiarity in AI/ML libraries such as TensorFlow and PyTorch
• Experience working with large-scale models, including LLMs and VLMs, and deploying AI-driven solutions into production
• Solid understanding of cloud technologies, containerisation, and building scalable AI applications
• Ability to integrate AI/ML models into real-world applications with a focus on usability and performance
• Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
• Experience working with large datasets, particularly in relation to demand and supply forecasting
• Bonus: experience or strong interest in energy markets and trading strategies
• Bonus: understanding of weather forecasting, energy demand patterns, and production modelling
• Bonus: exposure to Natural Language Processing or related fields

Responsibilities:

• Design, develop, and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models
• Build and optimise internal AI tools that improve company productivity through automation and streamlined workflows
• Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
• Collaborate with trading and operations teams to ensure AI models align with real-time market conditions and energy pricing
• Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
• Stay up to date with the latest advancements in applied AI and machine learning and apply them to real-world energy problems
• Monitor the performance of AI tools and models to ensure they function efficiently and effectively

Technologies:

• AI
• Backend
• Cloud
• Machine Learning
• PyTorch
• Python
• TensorFlow
• LLM
• Network

More:

We are Fuse Energy, a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast. We are combining first-principles thinking with cutting-edge technology to build a radically better energy system, backed by $210M from leading investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels. We are building a fully integrated energy company across solar, wind, hydrogen, real-time power trading, and distributed energy installations, and we also offer consumer energy services that cut out the middleman and lower costs. We are expanding our cutting-edge AI team and this full-time Applied AI Engineer role is focused on consumer features like Energy Co-Pilot and Speedy Onboarding, as well as internal AI tools that improve productivity across the company.

last updated 34 week of 2026