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.

Build the Guardian Android news app in Kotlin and Java, using Jetpack Compose, Coroutines & Flow, MVVM, WebViews, Jetpack libraries and modular architectures, with CI/CD and testing. As a Staff Engineer on the Apps Experience team, you'll set technical direction and mentor engineers across multiple teams.

Wells Fargo★3.6 (48k)· London

You'll work with Python, SQL, cloud and DevOps practices, AI/ML and Large Language Models, plus Axiom ControllerView on the Enterprise Functions Technology team. The role enhances and supports regulatory reporting platforms used by Wells Fargo's Finance Controllers organization.

Deutsche Bank★3.8 (3.5k)· London

You will work with Oracle Exadata, Autonomous, RAC, ASM, DataGuard, PL/SQL, Python, Ansible, Bash, Java, and Git. The Global Database Engineering Team manages the relational database platform and builds automation to keep business systems operational. You will develop automation scripts, evaluate database tools, and provide L3 support.

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.

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.

Anaplan★2.7 (15)· London

Develop ML models (LightGBM, XGBoost, PyTorch) and pipelines using Python, Pandas, SQL, dbt, Snowflake, MLflow, and Optuna on AWS/GCP/Azure. The role designs and deploys custom analytic “engines” that integrate into Anaplan’s platform to solve enterprise business problems like demand sensing and time-series forecasting. No team size is stated.