2 of 2 Permanent Federated Learning Jobs in London

AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar … crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover … key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with More ❯

NICE TO HAVES Experience in workplace tech, scheduling optimisation, or geospatial data. Publications, patents, or open source contributions in applied ML or LLMs. Familiarity with privacy preserving ML techniques (federated learning, differential privacy). OUR TECH STACK Backend: PHP 8.2/Symfony 7, REST, API Platform, NodeJS, Python, Rust. Frontend: TypeScript, Angular 19. Mobile: Android (Kotlin), iOS (Swift More ❯