4 jobs found

High-performance ML workloads on Arm CPUs requires the co-development of algorithms and highly optimized CPU kernels. In CT-ML (Central Technology, Machine Learning), rapid kernel prototyping is crucial for exploring algorithms and assessing trade-offs between model accuracy and performance. Successful prototypes are essential to drive future CPU architecture development and also deliverables to Central Engineering for final production. Responsibilities: This position is part of a dedicated team within the CT-ML group to focus on analyzing ML workload, rapid prototyping of highly optimized CPU kernels to drive model performance and accuracies. Required Skills and Experience : Strong interest and passion for implementing high-performance kernel code in a dynamic environment. 4+ years experience in implementing high performance CPU kernel with vector and matrix extensions. Experience measuring and understanding performance Experience in creating an...

For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders. This mission has been further scaled with Abcam now being part of the Danaher family. We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact. This community needs people like you: dedicated, agile, and above all audacious so we can truly drive science forward. We are looking for a Principal AI Engineer, who is the technical and people leader of AI Engineering at Abcam and for Danaher AI Initiatives. This permanent role is located in Cambridge, UK, will be on-site and sits in Abcam’s Data Science and AI team, working at the forefront of AI innovation in life sciences. You will report to the Director of Data Science and AI and be responsible for developing, scaling, embedding and operating AI...

Job Overview: Arm is seeking a highly motivated and creative Software Engineer to be based in either Lund (Sweden) or Cambridge (UK) to join a software development team working on Machine Learning compilers, predominantly in C++. The software we develop is what enables neural networks to be deployed on both present and future hardware, making the most out of every cycle and every milliwatt. Responsibilities : As a software engineer, contributing to the design and implementation of a machine learning compiler. Taking ownership of your tasks and sharing collective responsibility for the success of the project. As a member of a self-organising scrum team, applying agile methodologies to plan, implement and deliver on time, quality software. As a hybrid worker (40% in office) and part of a cross-site team, engaging with your colleagues both virtually and in person. We expect you to be capable of working independently, or in small groups, with a high degree of...

Join NPL to manage a high-profile AI programme that is supporting the UK and bring real-world benefits. NPL works at a strategic level with government and academia to respond to UK challenges and priorities. Ultimately, our programmes translate cutting-edge science and engineering into impactful practical applications. Managing these programmes is a major responsibility – and a huge career opportunity. As part of the Department of Data Science and AI, you will be responsible for managing strategic growth and delivery of NPL’s AI Programme and Digital National Quality Infrastructure Programme, working towards agreed objectives and outcomes. This will involve managing all aspects of programme governance, and ensuring individual projects are effectively defined, resourced and co-ordinated. This role is a unique opportunity to shape NPL’s future contribution to building confidence in AI and evolving the national quality infrastructure. Alongside the Leadership team, you...