# Lead Applied AI Researcher

**Company**: Fuse Energy
**Location**: London, England
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://jobs.workable.com/view/wbYYmsXqFkLatMxQpMcEgd/hybrid-lead-applied-ai-researcher-in-london-at-fuse-energy?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1c1e42b8-dbc

## Description

Fuse Energy is an AI-first energy company 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.

## Responsibilities

- Design experiments to find the best model and approach for each workload, balancing accuracy, latency and cost.

- Own our evaluation framework: build high-quality datasets and golden answers, combine human and LLM judgments and measure how much confidence to place in each evaluator.

- Explore post-training methods, including supervised fine-tuning and reinforcement learning.

- Build agent harnesses that make long-running tasks reliable: tool use, deterministic checks, state tracking, retries, resource allocation and appropriate human approvals.

- Set evaluation and escalation thresholds according to the consequences of failure.

- Work with teams across Fuse to turn research results into production systems and bring new methods and hard-won lessons from the frontier of applied AI into the company.

## Requirements

- Strong experience applying modern AI models to real-world tasks with a track record of improving measured outcomes through experimentation.

- Deep understanding of evaluations, dataset quality and failure analysis. You know how to distinguish a genuine improvement from an unreliable benchmark result.

- Hands-on experience with several of model selection and routing, fine-tuning, reinforcement learning, agent systems or computer use.

- Strong software engineering skills, including Python and the ability to build reliable experimental and production tooling.

- Good judgment about cost, latency, reliability and risk, especially when deciding where deterministic checks or human review are needed.

- Ability to move between research and implementation: formulate a hypothesis, run a rigorous test, inspect failures and ship what works.

- Experience at a frontier AI lab or a team operating at a similar level of experimentation would be especially valuable.

## 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

## Skills

### Required
- AI
- Machine Learning
- Python
- Software Engineering
- Experimentation
- Evaluation Framework
- Post-training Methods
- Agent Systems

### Nice to have
- Frontier AI lab experience
- Modern AI models
- Model selection and routing
- Fine-tuning
- Reinforcement learning

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/wbYYmsXqFkLatMxQpMcEgd/hybrid-lead-applied-ai-researcher-in-london-at-fuse-energy?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)