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Applied AI Researcher
Posted by Fuse Energy on 24 August 2026, 47 days ago. Still on their Workable board when we checked 1 h ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationLondon, England, United Kingdom
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-08-24
Found viaworkable, direct from their system
We saw it 2 months after it went up.
The posting, as the company wrote it
Employment: Full-time
Education: Bachelor's Degree
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.
As an Applied AI Researcher, you will 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.
Responsibilities
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
Requirements
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
Benefits
Competitive salary and eligibility for equity
Biannual bonus scheme
Fully expensed tech to match your needs
Private health insurance
Breakfast and dinner allowance for office-based employees
As we hire globally, benefits vary by location.
Copied from Fuse Energy’s own board, not rewritten. Original ↗
Also open at Fuse Energy
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