Associate – Legal
Nscale
Associate – Legal
Nscale
Develops and operates AI data centers
Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do.
The Associate, Legal (Infrastructure) a UK-based counsel role supporting the VP, Legal (Infrastructure) on construction, design and consultancy, equipment supply, real estate, and power workstream's for Nscale's EMEA data centre campuses.
This is a hands-on drafting and deal-support role with real ownership from day one and a clear path to running your own negotiations.
Join Nscale as we build a world-class AI cloud platform. If you're ready to grow your infrastructure practice in-house on hyperscale projects, we'd love to hear from you!
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Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.
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