Design, develop, and evaluate machine learning models using Python, PyTorch, TensorFlow, statistical modelling, deep learning, and multimodal AI for the ASOS AI Demand Forecasting platform. This platform provides demand forecasts to power replenishment, AI-powered pricing, and supply chain optimisation. You will also mentor other scientists and provide technical leadership on complex modelling projects.

You will work with Python, PyTorch, TensorFlow and distributed data processing to develop and deploy machine learning models. The AI Demand Forecasting team builds scalable forecasting capabilities supporting replenishment, pricing and supply chain optimisation. No team size is stated.

Amazon★3.5 (56k)· London

You will work with Java, C++, Python, neural deep learning, machine learning, TensorFlow, PyTorch, Spark, and formal methods (model checking, interactive theorem proving, property-based testing). The Agentic Automated Reasoning Group builds next-generation software verification tools combining AI and cloud computing to analyze code—from Infrastructure as Code to assembly—for provable security, availability, and correctness across AWS services.

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.

Boston Consulting Group★4.2 (537)· London

You'll develop testing and evaluation frameworks for generative AI and AI products using Python, PyTorch, and TensorFlow, ensuring they meet responsible AI standards for safety, security, and equity. The Responsible AI team at BCG X—a 3,000-person tech organization within the consulting firm—supports product teams across industries in building trustworthy AI systems throughout the software development lifecycle. The role requires 3-5+ years in responsible AI, 3+ years with generative AI models, and program/project management experience.