Salary (Freelance): 4000 - 8000 p/m
Location: Remote or canary wHarf
Industry: AI systems
Contract: full time
Information on the company
Our clients are building continuous‑learning agents driven by their Learning Engine, a modular framework that lets agents learn from human knowledge bases, feedback, and through self‑discovery, then apply that learning - evolving into expert teammates that get better every day rather than demo‑stage agents. You'll partner directly with the founders to design, implement, and evaluate new algorithms that let agents learn continuously. Successful prototypes move quickly into production, so your research will have an immediate impact on real users.
DAY TO DAY…
Responsibilities
Design and run state-of-the-art machine-learning experiments to extend the agentic Learning Engine
Publish results through papers, datasets, and open-source code
Collaborate with product and engineering to translate your research findings into the Learning Engine
The ideal candidate…
PhD in AI, Computer Science, or a related field — or an equivalent record of research excellence
Publications at top AI conferences (NeurIPS, ICML, ACL, …) or an open-source project with significant traction
Strong Python skills and experience with ML frameworks such as PyTorch
Exceptional problem-solving ability; comfortable working independently and in teams
Familiarity with graph databases, vector stores, or Elasticsearch for structured-data retrieval
Knowledge of advanced training algorithms (e.g., DPO, RLHF, GRPO)
Clear written and verbal communication
Great things about working here…
Remote-friendly setup — work from anywhere in compatible time zones, with the office base in London
Competitive, top-of-market compensation package
Freedom to pursue ambitious research aligned with the company mission
Close collaboration with the founders and senior researchers
Limitless cloud compute — GPU clusters and a war chest of cloud credits ready for your experiments
Conference travel, publication, and open-source support
Option to extend to 6 months or transition to a full-time role