and supporting VOiP systems and technologies. Experience of working with a variety of clients across multiple industries. Expert knowledge of mobile phone devices, both apple and android, and hardware such as printers and Bluetooth peripherals. A good understanding of GDPR principals. Core understanding of Cyber Security principals. If you are more »
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Signaloid
modeling, autonomous systems, computational finance, machine learning, and quantum computing. Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARC, ARM, Bell Labs, CMU, University of Cambridge, EPFL, IBM Research, Intel, Max Planck, MIT, and NEC Labs. Find out more at and try out more »
SummaryPosted: Role Number:200543200As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting the privacy of users and their data.We are looking for a leader in Special Projects … delivering meaningful customer impact by driving adoption of AIML research across Apple products. Past successes from this team include Personal Voice, digitally-narrated audiobooks, and Live Voicemail Transcription.Key Qualifications8+ years of overall experience with 5+ years building and leading a team of high-performing software engineersLeadership skills necessary to build … hear from you!Education & ExperienceBS/MS in Computer Science or equivalent preferred Ph.D.Additional RequirementsApple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take more »
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Gearset
closely with the engineering teams on defining slices, delivering them iteratively, and learning as you goWork with an amazing team - alumni of Microsoft, EA, Apple, and Cambridge University to name a few - to make Gearset the DevOps platform of choice for Salesforce teams, no matter their shape or sizeWhat you more »
hybrid basis (2 days per week on site). They are an extremely high caliber team, and have historically hired from the likes of Apple, Intel and BSc and are looking to expand their site in Cambridge, which currently has around 20 people. Your profile: 5+ years of experience on more »
performance kernels for machine learning operators on NPU architectures. They are an extremely high caliber team, and have historically hired from the likes of Apple, Intel and BSC and are looking to expand their site in Cambridge, which currently has around 20 people. A bit about the role: High-performance more »
