Nationwide Building Society★3.7 (1.1k)· London

You will work with Python, Azure cloud, machine learning, deep learning (transformers, autoencoders), large language models, Generative AI, Natural Language Processing, and prompt engineering. As part of Nationwide’s AI Centre of Excellence, you will build scalable classifiers, predictive models, and GenAI applications to optimize business decisions and automate processes.

Work with OCaml (functional programming) and Python for data analysis, visualization, and machine learning to design and build systems and tools across the firm—from trading desks and accounting to infrastructure like network monitoring and risk models.

CoreWeave's Inference team builds and operates a Kubernetes-native cloud platform for massive-scale GPU workloads (AI/ML, VFX, rendering, real-time inference). The role works with Go, Python, C++, Kubernetes, and inference frameworks like vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe, plus GPU systems (CUDA, NCCL, RDMA). It leads cross-team architecture, routing, scheduling, and performance optimization under P99 SLAs.

Canva★4.3 (32)· London

You'll work with Python, PyTorch, vision-language models (Gemma, Qwen-VL, SmolVLM, MiniCPM-V), optimization techniques (quantization, pruning, distillation, hardware-specific compilation, task-specific fine-tuning), and on-device runtimes (Core ML, LiteRT/TFLite, ONNX Runtime, ExecuTorch). The Video Storytelling team builds models and systems behind Canva’s video AI, partnering with the Edge AI group to explore on-device deployment. This internship optimizes a video-capable VLM for on-device intelligent captioning on consumer phones.