4 of 4 Remote Google JAX Jobs in Berkshire

models at scale, ideally within product environments or a data-rich business. Tech-savvy : Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud-native AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases). Well-rounded Engineer More ❯

field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level More ❯

focus on GenAI 🚀 Strong expertise in Stable Diffusion, Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python More ❯

collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology More ❯