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For Companies At a Glance
- Tasks: Lead the hiring process for AI infrastructure and engineering roles, ensuring a top-notch candidate experience.
- Company: Nscale is a cutting-edge GPU cloud provider, empowering AI innovation for startups and enterprises.
- Benefits: Enjoy a competitive salary, equity options, flexible remote work, and a supportive team culture.
- Why this job: Join a fast-growing startup where your contributions directly impact the future of AI technology.
- Qualifications: Experience in AI infrastructure hiring, technical fluency, and a commitment to inclusive recruitment are essential.
- Other info: We embrace diversity and encourage applications from all backgrounds; geography is no barrier to joining us.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Talent Partner, AI Infrastructure & Engineering, London
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
At Nscale, our Engineering team plays a critical role in driving the deployment and then subsequent management of our infrastructure and software platforms.
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. If you join our team, you’ll be contributing to building the technology that powers the future.
About the role
As the Talent Acquisition Partner focused on Infrastructure & Engineering, you’ll own end‑to‑end hiring for mission‑critical roles primarily across AI infrastructure, data centre engineering & operations, and network & storage.
You’ll have a deep understanding of how modern AI infrastructure is designed, built, and run – enough to confidently assess for the right skills, behaviours and scaling experience. You’ll collaborate with technical leaders to design structured assessments, shape interview panels, and deliver a world‑class candidate experience while hiring at pace and quality.
What you\’ll be doing
Talent Acquisition Execution
- TA ownership for Infra & Engineering: 0-1 from assessing hiring needs through to prioritisation, channel selection, sourcing and onboarding
- Partner with engineering and infrastructure leaders to define success profiles and competencies for AI infra roles.
- Help refine recruitment processes, systems and metrics to improve efficiency and scalability.
Full‑Cycle Recruitment
- Manage end‑to‑end processes from intake to offer for Infra & Engineering roles.
- Conduct phone screens, evaluate candidates for experience across GPU/hardware, AI build/operations, networking and reliability at scale.
- Implement structured, competency‑based interviews, work samples and technical exercises with calibrated rubrics.
- Proactively build pipelines for repeat/hard‑to‑fill roles and future sites.
Candidate Experience
- Ensure a transparent, timely, and respectful process; act as trusted advisor to candidates.
- Coach panels on best practice to reduce bias and improve signal.
Stakeholder Collaboration
- Advise hiring managers with market data on availability, compensation and competitive landscape.
- Facilitate effective debriefs and decision‑making; drive alignment on bar and trade‑offs.
Employer Branding & Talent Attraction
- Partner on targeted campaigns for infrastructure talent (events, meetups, technical blogs).
- Showcase Nscale’s mission and technical challenges to attract top engineers and DC specialists.
Process Improvement & Market Insights
- Use funnel metrics and quality‑of‑hire data to iterate processes and raise bar.
- Stay current on infra/AI hiring trends (e.g., HPC, orchestration, observability, power & cooling in DCs) and translate into sourcing strategies.
About You
- Heavy experience in Infrastructure & Engineering hiring for an AI Infra/DC/HPC organisation
- Technical fluency to credibly engage infra candidates and understands GPUs & containers (Kubernetes/Docker), Linux fundamentals, basic networking & storage, observability and data-centre operations (power/cooling/uptime).
- Strong capability to design structured interviews and evaluate senior talent.
- Proven stakeholder management with technical leadership; able to influence with data.
- Experience in high‑growth start‑up/scale‑up environments; thrives in ambiguity.
- Data‑driven, with fluency in ATS/CRM tooling and recruitment analytics.
- Commitment to inclusive hiring and creating diverse slates.
What we can offer you
At Nscale, you\’ll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We\’re building something extraordinary, and we want you at the core.
- Highly competitive package (base + equity) with reviews every 12 months. 🚀
- Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
- Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
- Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life\’s moments.
Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.
Interview Process
- Meet with Senior Manager, Talent Acquisition – Rory (45mins)
- Meet with wider Talent Acquisition team – Alice, Liam (45min-1hr)
- Final stage with VP People – Nicola (45mins)
Equal Ops Statement
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
Talent Partner, AI Infrastructure & Engineering employer: Nscale
Contact Detail:
Nscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Talent Partner, AI Infrastructure & Engineering
✨Tip Number 1
Familiarise yourself with the latest trends in AI infrastructure and engineering. Understanding concepts like GPUs, Kubernetes, and data centre operations will help you engage confidently with technical leaders during interviews.
✨Tip Number 2
Network with professionals in the AI infrastructure space. Attend relevant meetups or online events to connect with potential colleagues and gain insights into the skills and experiences that are currently in demand.
✨Tip Number 3
Prepare to discuss your experience in high-growth environments. Be ready to share examples of how you've navigated ambiguity and contributed to scaling teams effectively, as this is crucial for the role.
✨Tip Number 4
Showcase your commitment to inclusive hiring practices. Be prepared to discuss how you can contribute to building diverse candidate slates and improving the overall candidate experience at Nscale.
We think you need these skills to ace Talent Partner, AI Infrastructure & Engineering
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Talent Partner position. Understand the key responsibilities and required skills, especially those related to AI infrastructure and engineering.
Tailor Your CV: Customise your CV to highlight relevant experience in infrastructure and engineering hiring. Emphasise your technical fluency with GPUs, containers, and data centre operations, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the challenges in the industry. Mention specific experiences that demonstrate your ability to manage end-to-end recruitment processes effectively.
Showcase Your Data-Driven Approach: In your application, highlight any experience you have with recruitment analytics and ATS/CRM tools. This will show your capability to improve recruitment processes and make data-informed decisions.
How to prepare for a job interview at Nscale
✨Understand the Technical Landscape
Familiarise yourself with the key technologies relevant to AI infrastructure, such as GPUs, Kubernetes, and data centre operations. This knowledge will help you engage confidently with technical leaders and demonstrate your understanding of the role.
✨Prepare for Structured Interviews
Since the role involves designing structured interviews, practice answering competency-based questions. Use the STAR method (Situation, Task, Action, Result) to articulate your experiences clearly and effectively.
✨Showcase Your Data-Driven Approach
Be ready to discuss how you use data in recruitment processes. Highlight any experience you have with ATS/CRM tools and recruitment analytics, as this aligns with the company's focus on improving efficiency and scalability.
✨Emphasise Inclusive Hiring Practices
Demonstrate your commitment to inclusive hiring by discussing strategies you've implemented in the past. Be prepared to share how you can contribute to creating diverse candidate slates and reducing bias in the hiring process.