Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, we’re inspired by the opportunities to innovate
About us At Dyson we are encouraged to think differently, challenge convention and be unafraid to make mistakes. We are proud to be authentic, different and pioneers. We are driven by a desire to solve real
Minimum qualifications: Bachelors degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience. 5 years of experience in machine learning, engineering, and software development using Python. Experience with data structures or
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have more than 194,000 employees, and we operate in more
Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our
Grade UE07: £41,064 - £48,822 per annum, with an additional market pay supplement bringing the total salary to up to £60,000 per annum CSE / School of Informatics / Kodamai Limited Full-time: 35 hours per week
The role Join our Research team and contribute to their mission of developing new algorithms and techniques to optimise our GPU compiler for graphics, compute and AI. You will explore, adapt, refine and transform our GPU compilers,
Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and
Package: Competitive Salary + Benefits Role ID: SF20254 Are you ready to be part of the future? At QinetiQ, we’re not just imagining tomorrow we are creating it. From cutting-edge defence technology to ground-breaking innovations our
Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build
Senior ML Research Engineer - Sustainable Finance Location London Business Area Engineering and CTO Ref # 10052491 Description & Requirements Bloombergs Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require
Minimum qualifications: Bachelors degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent equivalent practical experience 5 years of experience with software development in one or more programming languages. 5 years of experience with
SummaryiPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using computational photography, optimization
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
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 closely with
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 research happens when you
Job Vision In an era where LLM are rebuilding the foundational software stack, Huawei’s CloudMatrix super-node clusters and AI-native infrastructure are reshaping how large-scale models are trained, served, and deployed. The Edinburgh Research Centre plays a key