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Company Description
Logikk is a specialist AI talent consultancy founded in 2012 that helps organisations build best-in-class teams across the entire machine learning ecosystem. Operating across the USA, Canada, the UK and Mainland Europe, the firm focuses on high-impact roles spanning hardware, infrastructure, software, models and product, connecting companies with hard-to-find professionals who accelerate AI roadmaps and ML workloads. Its delivery capability covers AI-enabled hardware and semiconductors (CPU/GPU/NPU/TPU, accelerators, IC, photonics, packaging, reliability and test, compilers and kernels), cloud and HPC architecture (on-prem, hybrid and cloud, systems and infrastructure architects, performance specialists), infrastructure and operations (MLOps, SRE, DevOps and platform engineers who build and scale reliable ML platforms), software engineering (0→1 product builders, backend and full-stack engineers, distributed systems and performance-focused specialists), AI and machine learning (applied researchers, research engineers, ML and data scientists, and ML engineers for serving, deployment and optimisation), and product management and leadership (PMs, technical PMs and product leaders driving vision, strategy, roadmap and execution). With a service-first, community-led approach, Logikk leverages deep, global candidate networks and rigorous market knowledge to form long-term partnerships with clients ranging from venture-backed start-ups to some of the world’s largest enterprises. The team is known for understanding the technical nuance of the roles they hire for and for cultivating active talent communities through initiatives like the Impactful AI London meetup and the Let’s Talk MLOps podcast. Whether the need is an executive leader to shape AI strategy, specialist engineers to optimise throughput and latency in distributed systems, or platform experts to productionise models at scale, Logikk delivers permanent, contract and executive search solutions designed to meet the compute, scalability and cost challenges of the current AI era.
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