Senior Platform & Reliability Production Engineer – Audience Measurement Make Your Mark at Ipsos Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a motivated Production Engineer to join
Overview Were seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area. You work confidently across training, fine-tuning, inference and evaluation, at single- and multi-GPU scale, with strong data-pipeline, debugging and data-analysis skills. Working
Overview We are seeking a Systems Research Engineer to accelerate our Future AI Infrastructure research area. You will bring key skills and experience in operating systems, performance, distributed systems, CPUs, GPUs, and machine learning. Good systems
£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems
Overview Were seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area. You work confidently across training, fine-tuning, inference and evaluation, at single- and multi-GPU scale, with strong data-pipeline, debugging and data-analysis skills. Working
Overview We are seeking a Systems Research Engineer to accelerate our Future AI Infrastructure research area. You will bring key skills and experience in operating systems, performance, distributed systems, CPUs, GPUs, and machine learning. Good systems
Fixed term 2 years We are seeking a Machine Learning Engineer specialising in deployment and infrastructure to support large-scale connectomics within the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology. The role
£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems
UKRIs MRC Laboratory of Molecular Biology seeks a scientist to lead deployment and scaling of ML systems for petabyte-scale connectomics data. The role focuses on turning ML models into robust, observable production pipelines for automated segmentation