1,126 to 1,128 of 1,128 Machine Learning Jobs

startups in London right now. They’re building technology that helps companies understand and grow revenue from their existing customers using AI and machine learning. In simple terms: helping businesses predict revenue more accurately, improve customer loyalty, and unlock value from the customers they already have. They’re still … fast-growing companies • Understanding their challenges and identifying where the product can genuinely help • Qualifying opportunities and booking meetings for the Account Executive team • Learning how to build and manage a healthy pipeline You’ll also work closely with marketing, product and the wider sales team to share feedback ...

sourcing across LinkedIn Recruiter, Boolean search, market maps, specialist technical communities, and internal tools. Identify rare talent across engineering, R&D, robotics, AI/ML, mission operations, and technical leadership. Conduct deep‐dive candidate qualification covering technical capability, motivations, salary fit, and culture match. Present accurate, insight‐driven shortlists … technical, STEM, engineering, or deep‐tech recruitment. Experience supporting US clients or high‐growth scaleups. Curiosity for emerging tech: autonomy, defence, robotics, AI/ML, space systems. Attis is where you develop true specialist expertise, earn the trust of the experts shaping these markets and build teams capable of delivering ...

ensure AI workloads run efficiently at scale. Who This Role Is For Hands-on architects with deep experience in GPU, HPC, or AI/ML infrastructure. You’re comfortable bridging technical teams and customer needs, solving complex scaling challenges, and owning architectural decisions in a remote contract environment. Key Responsibilities … improvements. Support customer onboarding, proofs of concept, and production deployments. What They’re Looking For Strong experience with GPU compute, HPC, and AI/ML workloads. Solid understanding of networking (L2/L3, InfiniBand, RoCE) and storage systems. Hands-on experience deploying or supporting GPU clusters. Experience with Kubernetes ...