Applied AI Researcher

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.

We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.

We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.

This isn't a traditional operations role. You'll sit at the intersection of AI, data and real-world energy systems, responsible for deploying, scaling and continuously improving AI-driven operations across the business. You'll turn AI from a set of tools into a core operational backbone that drives efficiency, automation and decision-making across trading, grid operations and internal workflows.

• →Identify high-impact opportunities to apply AI across the business (trading, customer operations, product development, internal tooling)
• →Redesign core operational processes to be AI-first
• →Eliminate manual work across functions through intelligent automation
• →Build internal AI tools that supercharge teams across product, finance and operations
• →Evaluate and integrate emerging AI technologies rapidly
• →Act as a bridge between technical teams and business functions

• Bachelor's degree from a top university in STEM
• Deep curiosity about AI and a track record of using it in real-world settings
• Relentless approach to solving problems
• Comfortable learning quickly and iterating
• Ability to work well individually or in a team