Remote Applied AI Engineer

Salary: £55,000 - 75,000 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 for 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 (NLP) 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, with a focus on automation and workflow enhancement
• 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, ensuring they function efficiently and effectively

Technologies

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

More

We are Fuse Energy, a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system. Backed by $100M from top-tier investors, we are creating a fully integrated energy company spanning solar, wind, hydrogen, real-time power trading, and distributed energy installations. We also build the Energy Network, a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying homes, shifting usage to off-peak hours, and helping balance the grid. As we establish a cutting-edge AI team, this role will focus on applied AI work across customer experiences and internal operations, with projects such as the Energy Co-Pilot and Speedy Onboarding process. We offer a competitive salary, an equity sign-on bonus, a biannual bonus scheme, fully expensed tech, paid annual leave, and breakfast and dinner for office-based employees.

last updated 27 week of 2026