Job Title: Shopping Ads Specialist (CSS) Company: Genie Shopping Ltd Location: Flexible - Distributed with use of Cambridge office and occasional travel Working Hours: Full Time 37.5 hours per week with flexible working arrangements Salary Range:
£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
NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future
Role Summary Responsibilities: You will work on projects that involve the design and execution of a wide variety of real-world studies, perform statistical analyses and communicate results to external stakeholders in the healthcare sector Salary: £42,000
Location: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants should be based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. This
£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
Description Are you passionate about delivering quality services and ready to apply your experience at massive scale? Amazon S3 is the storage for internet, and Amazon S3 Tables deliver the first cloud object store with built-in
Description Are you passionate about delivering quality services and ready to apply your experience at massive scale? Amazon S3 is the storage for internet, and Amazon S3 Tables deliver the first cloud object store with built-in
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational