3 of 3 Synthetic Data Jobs in the City of London

multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs into scalable controls for engineering teams to integrate. Design, run, and document high … teaming, or uncertainty estimation. Knowledge of AI governance, risk frameworks, or industry standards (e.g., NIST AI RMF, ISO/IEC 42001). Experience with synthetic data generation or test corpus construction. Familiarity with experiment tracking tools (Comet/Opik,, MLflow, SageMaker Experiments). Interest in governance, risk ...

motor policies using Behavior Cloning and RL . Scale VLA Research: Lead pre/post-training on our Vision-Language-Action (VLA) stack. Engineered Data: Build automated pipelines to ingest teleop logs/synthetic data, apply weak-supervision , and curate high-quality datasets. Failure Analysis: Systematically identify ...

deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton. Profile, debug and improve model training speed on multiple GPUs. Create a large-scale dataset ...