Work with PyTorch or JAX and Python, building tools for data generation, training, evaluation, and deployment on GPU clusters. As an Applied Scientist on Mistral AI's research team, you'll drive pre

You'll work with PyTorch or JAX, Python, large GPU clusters, deep learning agents, and retrieval-augmented generation pipelines. As part of Mistral AI's research team, you'll run pre/post-training, build datasets and tools, and deploy text, image, and speech models for enterprise clients. No team size is stated.

Amazon★3.5 (56k)· London

You'll use Java, C++, or Python and AI coding assistants to build and ship real-time machine learning models for ranking, valuing, and bidding ads on Amazon's Demand-Side Platform. The team aims to make ads more relevant for shoppers while balancing advertiser and Amazon objectives, working across Edinburgh and London within a larger UK/US group.

Amazon★3.5 (56k)· London

As an Applied Science Intern, you will work with machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, and formal methods, using Java, C++, or Python. You will design and develop end-to-end systems, working with Amazon scientists to create algorithms and models that are deployed into production.

Amazon★3.5 (56k)· London

Develops personalised recommendations using Java, C++, Python, neural deep learning, and tools like TensorFlow, Spark, and MLLib. The Prime Video Insights team builds observability features that reduce customer-impact time, consuming petabytes of data daily for internal builders.

Amazon★3.5 (56k)· London

Build machine learning and optimization models for Amazon’s Middle Mile freight marketplace using Java, C++, Python, MxNet, TensorFlow, AWS, and causal inference. The team develops forecasting, dynamic pricing, and network optimization systems to power Amazon’s external freight transportation network.

Amazon★3.5 (56k)· London

The role uses Python, Java, C++, machine learning (random forests, gradient boosting, LASSO, logistic regression) and optimization (integer programming, dynamic programming, stochastic optimization). The team builds algorithms for Amazon's freight marketplace to optimize dynamic pricing and network planning for external shippers and carriers.