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# Applied AI Researcher

- **Company:** Fuse Limited
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Literacy, Python (Programming Language), Routing, Performance Tuning, Software Engineering, Reinforcement Learning, Large Language Models, Model Validation, Low Latency
- **Published:** September 30, 2026
- **Apply:** https://startup.jobs/applied-ai-researcher-fuse-energy-10222040

## About the Role

* 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.

## Description

* 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.