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.

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 NLP, LLMs, PyTorch, Hugging Face, and Python on problems in semantic chunking, information extraction, knowledge graph construction, and retrieval optimisation. You'll join an AI research organisation building the document understanding layer that powers next-generation AI search and reasoning systems.

You'll work with Python, PyTorch, AWS, Ray, PyTorch Lightning, and Weights & Biases to design and train machine learning models for Entrust's digital identity verification platform (formerly Onfido), tackling deepfake detection, bias mitigation, document understanding, and anomaly detection. The Applied Science team has approximately twenty machine learning scientists working with product engineering to deploy models for identity verification and facial biometrics at global scale.

Microsoft★4.2 (9k)· London

Works with Python, PyTorch and retrieval technologies including ColBERT, SPLADE, dense/sparse hybrid, RAG and LLM-integrated architectures. Builds state-of-the-art retrieval systems for Microsoft 365 Copilot Search, Chat and Agent experiences, serving millions of enterprise users daily.

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.

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.

Thomson Reuters★3.9 (4.3k)· London

You'll work with PyTorch, JAX, HuggingFace Transformers, vLLM, LLM APIs, Ray, Spark, and experiment tracking tools like Weights & Biases and MLflow on Thomson Reuters' Foundational Research division, which develops advanced algorithms and training techniques for Large Language Models including LLM training, post-training techniques for reasoning and workflows, data-centric ML, and evaluation. You'll design and implement scalable systems for training, fine-tuning, and evaluating LLMs while translating cutting-edge research into production implementations.

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.

You'll lead a 6-person team of applied scientists building vision-language models for document data extraction and efficient mobile models (<5MB) using PyTorch, with ~50% hands-on coding time. The work spans vision-language modeling, document understanding, distillation, quantization, and few-shot learning to power Entrust's identity verification platform that detects fraud and deepfakes at global scale. You'll define roadmap with product/engineering, contribute code, and publish research while managing team development in a product-driven ML environment.