2 of 2 Neural Network Jobs in the City of London

scalable. What you’ll do: Lead the development and refinement of novel machine learning architectures and algorithms harnessing our nonlinear dynamics. Building deeper network architectures that maximise efficiency and performance. Design, build and test models both on device and using in-house simulation framework. Collaborate closely with the wider … NeurIPS, ICML, ICLR, CVPR, or Nature/Science journals) Hardware Aware ML/Neuromorphic Computing: FPGAs, ASICs, analog computing chips, spiking neural network (hardware), edge AI Unconventional training algorithms Reservoir computing, self-constrastive learning, forward-forward learning, evolutionary algorithms, equilibrium propagation Physics informed neural networks ...

access to large-scale, unique data Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference ...