Applied AI Researcher
Fuse Energy Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Fuse Energy. London · full-time · no salary stated · we estimate £31,000–£445,000 across the United Kingdom.
Fuse Energy has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Find ways to use AI in trading, customer operations, product development and internal tools
- Rework core processes around AI, then automate manual tasks across teams
- Create internal AI tools for product, finance and operations teams
- Assess new AI technologies and bring useful ones into the business
- Connect technical teams with business functions as AI work moves forward
What you bring
- A STEM bachelor's degree from a highly regarded university
- You have applied AI in real-world settings and are genuinely curious about it
- You tackle problems persistently and can learn and adjust quickly
Who this fits
This mid-level role suits someone who can work independently and collaborate with a team. It is an onsite position in London.
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 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.