AI Research Scientist

Fuse Energy Open

Remote London San Francisco Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Fuse Energy. Remote, United Kingdom · full-time · no salary stated · we estimate £31,000–£445,000 across the United Kingdom.

Estimated pay

Fuse Energy has not published a salary for this role. The figure below is our estimate, not theirs.

£31,000 – £445,000

What the middle half of mid-level AI research roles in the United Kingdom paid, among postings that did state a salary.

Worked out from 5 postings that stated pay, median £60,000. Last updated Oct 15, 2026.

RoleAI Research

SeniorityMid-level

LocationLondon

WorkplaceRemote

EmploymentFull-time

PostedAug 24, 2026

Also hiring inSan Francisco

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Shape how one foundation model learns from generation, grid, demand, weather and price data
Test pre-training approaches and identify which choices improve the model's results
Create robust evaluations and backtests, including measures of uncertainty
Use household consumption data in ways that protect personal information
Document research findings and coordinate with quants and engineers moving the model into production

What you bring

Research experience designing model architectures, input data and training goals across varied data sources
Hands-on ability to run pre-training experiments and assess model performance
Skill in building rigorous evaluations and backtests with calibrated uncertainty
Care in working with household-level data without exposing personal information

Who this fits

This role suits a research-focused scientist whose work spans experiments, evidence and written research. The position is based in London and listed as remote.

From the employer

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 AI Research Scientist, you will do the pre-training research behind the Energy Foundation Model: one model, trained on generation, the grid, demand, weather and price together, that learns the relationships between them that a human analyst would never think to write down. Today we model each forecasting problem separately; you will work out how a single model should be built and trained, and show that it works. We have data nobody else can buy, including household-level consumption from hundreds of thousands of UK homes, which outside trading firms cannot get. The work is research: experiments, evidence and papers that shape how we forecast, hedge and trade.

Requirements

Do the pre-training research for the Energy Foundation Model
Design the architecture, inputs and training objectives for one model across generation, grid, demand, weather and price data
Run pre-training experiments and find what actually improves results
Build rigorous evaluations and honest backtests, with calibrated uncertainty
Train on household-level data without leaking personal information
Write up findings as research, and work with our quants and engineers who take the model into production

Benefits