Artificial Intelligence

• Build and post-train agents for scientific research, including literature search, code execution, domain-tool use, and experiment selection
• Work across autonomous research and computational science with environments and evaluations built around research partners' tools, data, and experimental feedback
• Work directly with customers, users, or research partners while maintaining a substantive research agenda
• Build long-horizon environments for literature search, scientific database queries, code and domain-tool execution, and experiment selection within fixed budgets
• Convert research partners' workflows, datasets, and outcome criteria into trainable tasks, evaluations, and reward signals
• Design verifiers for correctness, novelty, and reproducibility, including checks for label leakage, lookup shortcuts, and unsupported conclusions
• Connect programmatic checks, simulations, domain models, and expert feedback to training; calibrate confidence estimates and define human-review requirements
• Develop RL and multi-agent methods for proposing, testing, and critiquing hypotheses
• Compare methods with strong single-agent baselines at equal compute and evaluate on held-out problems
• Maintain reproducible code, data, logs, and experiment configurations; rerun results, measure noise, perform ablations, and release reusable environments, evaluations, and research code

Explore Applied Research – Scientific AI at Prime Intellect. Review requirements and application details.

Remote Artificial Intelligence jobs in United Kingdom

Applied Research – Scientific AI

Architect, Ontology – AI Innovation

Healthcare Subject Matter Expert – AI Model Evaluation

Healthcare Subject Matter Expert – AI Model Evaluation

Healthcare Subject Matter Expert – AI Model Evaluation

Healthcare Subject Matter Expert – AI Model Evaluation

Healthcare Subject Matter Expert – AI Model Evaluation

Healthcare Subject Matter Expert – AI Model Evaluation

AI Growth Ops

Core Architect – Integration Lead, Applied AI