Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data-centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public-sector organisations.

Role Summary

We've laid the foundations of our procurement operations, and as the business continues to grow at speed, we're ready to take them to the next level. We're looking for someone to take full ownership of that next stage, building on what's in place to create an operation that's robust, efficient and ready to scale.

This is a role where you'll run the operation and shape it at the same time. You'll keep procurement moving for the business while continually looking for ways to make it simpler, stronger and more reliable. You'll set the direction for your own work, decide what to tackle next, and bring others along with you.

You'll work closely with teams across Era4 supporting them with their supplier management, and with Legal and Finance, who own contract review and financial processing.

You’re a great fit if you’re someone who loves being hands-on, enjoys the freedom to shape how things work, and gets real satisfaction from making steady, visible progress.

Key Responsibilities

Lead day-to-day procurement operations, from first request through onboarding, approvals and renewals.
Oversee that we have an accurate, reliable supplier and contract records that the business can trust.
Strengthen risk-based supplier onboarding, including due diligence and third-party risk assessment, with clear approval routes and turnaround times.
Develop the tools, automation and reporting that make procurement simple to use and easy to scale as we grow.
Set out clear sourcing governance and help teams understand and follow it.
Work with Finance and Legal to keep records aligned and make sure renewals are handled in good time.
Hold regular conversations with departments about their supplier needs and performance, with business owners staying accountable for their suppliers.
Identify the next improvement, plan it and see it through.

Essential Experience

Experience running and developing procurement operations or supplier lifecycle management, including onboarding, due diligence and contract administration.
A track record of taking existing processes or systems and raising them to a higher standard.
A proactive, self-motivated approach: you set clear priorities, plan your own work and keep stakeholders up to date.
Comfortable reading and understanding supplier contracts, identifying key commercial terms, obligations and risks, and knowing when to involve Legal for specialist review.
Management experience, with a track record of supporting and developing others.
A practical, detail-focused mindset, comfortable handling everything from data quality to approvals.
Experience implementing procurement or supplier management tools and helping people adopt them.
Strong stakeholder management skills, with a track record of building trusted relationships and effective internal partnerships across Legal, Finance and senior leadership.

One or More Would Be an Advantage

Experience in data centres, critical infrastructure, construction or another technically complex environment.
CIPS qualification or membership, or progress towards it.
Experience supporting audit readiness (eg ISO 27001, 90001, 14001)

Why Join Era4

You’ll be joining a mission-driven start-up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next-generation company operates at scale.

Diversity & Inclusion

Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the company

Era4 builds the UK's sovereign AI backbone by converting brownfield sites and industrial hubs into high-performance AI campuses, uniting land, energy, and compute in a controlled system. Its flagship project, The Mill in Newport, transforms a former steel mill into a sovereign UK AI gigafactory with peak power of a gigawatt. The Sovereign AI Mesh spans modular data centres and hyperscale sites that use closed-loop liquid cooling and lower-carbon microgrids. It partners with HPE, VAST Data, WWT, and Civo to deliver domestically controlled AI infrastructure that supports British AI development and prosperity.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2025

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Simplify's Take

What believers are saying

On June 9, 2026, Civo and Era4 launched Britain’s first fully sovereign AI stack.
Derbyshire’s first HPE modular pods target second-half 2026, showing execution momentum.
Era4 claims forty-plus sites and 50MW capacity, giving it a tangible expansion pipeline.

What critics are saying

Anglesey County Council rejected Amlwch on April 28, 2026, exposing planning fragility.
Canterbury’s Shelford Farm plan faced a petition, signaling local resistance to landfill data centers.
Heavy dependence on Valencia gas sites makes permit delays existential if power deals stall.

What makes Era4 unique

Era4 pairs UK-only compute with domestic renewable power and zero cross-border data exposure.
Its landfill-and-brownfield strategy turns stranded industrial sites into distributed AI capacity fast.
The Civo and HPE partnerships package infrastructure, cloud software, and hardware into one stack.

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Benefits

Flexible Work Hours

Growth & Insights and Company News

6 month growth

22%

1 year growth

29%

2 year growth

29%

NVIDIA

Oct 21st, 2026

NVIDIA Cloud Partners scale across Europe - sovereign, open and built for safe AI agents.

NVIDIA Cloud Partners scale across Europe - sovereign, open and built for safe AI agents. Growing ecosystem of AI clouds across Europe, Nordics, Africa and Central Asia build full-stack NVIDIA DSX Vera Rubin AI factories as AI-native companies drive demand for sovereign compute, training, inference and post-training services. Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. Developers need compute closer to their data, open models they can customize and serve at scale, and full-stack infrastructure that is secure by design. NVIDIA Cloud Partners across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for model training and inference, helping developers build agentic and physical AI applications, and establishing boundaries around what agents can access and do. Together, they're turning Europe's energy, data, research and industrial expertise into productive intelligence - supporting new models, applications, organizations and jobs while giving people more control over where and how they develop and deploy AI. Sovereign: AI clouds building European AI infrastructure. Europe is home to world-class research, engineering talent, industrial expertise, data, the next generation of models and applications that requires large-scale computing close to where that knowledge resides. Regional AI clouds provide the infrastructure foundation on which model builders, enterprises and entire industries can grow. As AI factories scale, power becomes a constraint which makes it critical for every watt to produce more intelligence. Nscale is using the NVIDIA DSX Platform to coordinate power allocation with workload requirements. In tests using NVIDIA GB300 NVL72 systems, Nscale demonstrated that NVIDIA DSX MaxLPS enabled 37% more GPUs and nearly 50% higher aggregate inference throughput within the same provisioned power budget. Nscale also plans to deploy NVIDIA Vera Rubin infrastructure for frontier-model training and production workloads to support leading model and application builders using its full-stack, vertically integrated platform with expansion across five European markets. Crusoe is developing Spark, its liquid-cooled modular AI factories designed for the NVIDIA Vera Rubin platform, to bring Crusoe Cloud capacity closer to users for low-latency AI inference. Crusoe Cloud serves leading model and application builders across EMEA, including Base44, Gradium, LTX and Wonderful. Aleria, Cassava Technologies, Firebird, G42, Radiant, SWI Compute and Vultr are also developing and expanding NVIDIA-powered AI infrastructure across Europe, the Nordics, Africa and Central Asia. Regional capacity from AI clouds combines the full-stack NVIDIA DSX AI Factory platform, including NVIDIA Vera Rubin, NVIDIA BlueField and NVIDIA Spectrum-X Ethernet networking, giving customers greater choice and control over where workloads and data reside while advancing sovereign computing services and economic growth. Open: models and libraries, from training to inference. Across the ecosystem, AI clouds are expanding NVIDIA-powered infrastructure and services for developers to build applications with open models and libraries. This new capacity supports model training, fine-tuning for specialized tasks and inference at scale, including applications deployed at the edge. For production inference, Nebius has adopted NVIDIA Groq 3 LPX, using Spectrum-X Ethernet networking to integrate it with Vera Rubin NVL72 on Nebius Token Factory. The combination will bring faster token generation to latency-sensitive applications and agentic systems through the platform's managed serverless and dedicated endpoints and familiar application programming interfaces. For robotics and physical AI, Nebius offers a purpose-built AI cloud solution that includes its full-stack Physical AI Workbench. Robotics companies including Rhoda AI, RoboForce and Sereact are building on the platform. The company also launched three NVIDIA retail agent blueprints - covering inventory, store operations, and fine-tuning - - into early access on Nebius infrastructure. Nebius is expanding its cloud services widely across the continent with its Physical AI Living Lab, and in Germany as a computer supplier for the Next Frontier Challenge of SPRIND, the Federal Agency for Breakthrough Innovation. Baseten has developed a specialized model for code-review routing with Nemotron 3.5 Lightning used by CodeRabbit. Through supervised fine-tuning and reinforcement learning, CodeRabbit improved routing agreement from 75.8% to 80.7% while reducing estimated inference costs by 50% for the evaluated workload. The results demonstrate how AI developers can customize NVIDIA open models for specialized tasks while improving accuracy and inference efficiency. Fireworks and Era4 are partnering to bring open models to enterprises across the U.K. and Europe. The collaboration combines Fireworks' model training and inference platform with direct liquid-cooled capacity powered by NVIDIA Blackwell Ultra GPUs at Era4's Chesterfield facility, supporting plans for enterprise AI solutions in financial services, insurance and life sciences. Mistral is expanding its NVIDIA accelerated computing infrastructure to support model training, customization and inference. The expansion includes NVIDIA Vera Rubin infrastructure planned for delivery in 2027. Trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral-operated European data centers, Mistral Large 4 is the company's latest frontier multimodal model, advancing capabilities across coding, agentic workflows and multimodal understanding. Verda plans to deploy NVIDIA Vera Rubin, continuing to promote open weight models with NVIDIA Nemotron and NVIDIA Cosmos already in production, and using the NVIDIA Dynamo open source framework for inference optimization. Safe: secure boundaries for AI agents, from silicon to software. As developers connect models to tools and business systems, they also need controls over what agents can access and do. Announced at GTC Berlin, the NVIDIA OpenShell Reference Architecture with support from AI cloud ecosystem partners. Built on the foundation of NVIDIA OpenShell secure runtime software, the architecture is designed to give organizations full-stack control to deploy AI agents with clear boundaries around what agents can access and do. NVIDIA Vera Rubin NVL72 for model inference, NVIDIA Vera CPUs with OpenShell for agent harnesses and tool use, and NVIDIA BlueField-4 DPUs running NVIDIA Sentry for in-silicon enforcement. Each play a distinct role in delivering that control, working together so agents can achieve what they're meant to do without moving beyond the boundaries people set for them. Partners including Aleria, Baseten, Cassava, CoreWeave, Crusoe, DigitalOcean, Firebird, Fireworks, Firmus, G42, GMI Cloud, IREN, Lambda, Lightning AI, Nebius, Nscale, Radiant Verda and Vultr are supporting the OpenShell Reference Architecture to enable secure agentic deployments for their customers. Together, European AI clouds are connecting regional infrastructure investment with the work of building and deploying AI. Expanded capacity gives builders more places to run workloads. Model and inference services help them put that capacity to use. Agent controls address what applications are allowed to do as they move into production. Explore NVIDIA Cloud Partners for infrastructure and services, and the OpenShell Reference Architecture for agent deployment controls.

Data Center Dynamics

Jun 9th, 2026

Civo and Era4 launch Sovereign AI cloud offering in the UK.

Civo and Era4 launch Sovereign AI cloud offering in the UK. Housed in Era4 data centers, using Civo cloud platform June 09, 2026 Civo and Era4 are partnering on a sovereign AI cloud solution in the UK. The two will develop a full-stack AI offering for UK organizations, combining Era4's data center network and Civo's CivoStack software. Era4 was founded as Carbon3.ai in June 2025, rebranding earlier this year. According to the company, it currently has around 50MW of power capacity in the UK from low-carbon energy, and a "clear pathway" to more than 500MW of hybrid power. Mark Boost, CEO at Civo, said: "Sovereignty without developer accessibility is a bottleneck, and accessibility without green power is unsustainable. By deploying Civo's cloud architecture natively inside Era4's localized data centers, we are giving the UK Sovereign AI Fund, regional accelerators, and enterprise innovators exactly what they've been waiting for: a true, top-tier alternative to the US hyperscalers that runs entirely on automated, domestic, and sustainable foundations." Karl Havard, chief commercial officer at Era4, added: "The UK desperately needs to increase its sovereign AI infrastructure footprint. We are now deploying a solution the UK can truly call its own. The partnership enables the deployment of CivoStack on our lower-carbon network of data centers, transforming raw silicon into an instantly consumable, Kubernetes-enabled powerhouse. This isn't a reseller arrangement; it's two British champions co-building the future of sustainable national infrastructure." The platform will use Nvidia HGX B300 AI chips. Era4 previously launched a sovereign AI platform in September 2025 in partnership with HPE, Vast Data, and WWT to develop what it calls the "national grid for AI," aiming to deploy a nationwide mesh of data centers powered by off-grid renewable energy. That platform was said to be based on HPE Private Cloud AI. Era4, since its founding, has pursued several data center projects. The company claims to already have more than 40 brownfield and industrial sites in its portfolio across England, Scotland, Wales, and Northern Ireland. Earlier this month the company filed to develop a data center at the Shelford Farm Estate on Broad Oak Road in Canterbury. Era4 also has projects planned in Derbyshire and Newport, and recently saw a proposal for a site in Anglesey rejected. The company has links to Valencia, sharing executives. Valencia Energy is part of the Valencia Waste group, one of the UK's largest landfill operators. The company has seven active landfills and more than a dozen closed sites. Era4 and Valencia have previously announced a partnership to deploy data center capacity at Valencia landfill sites, utilizing gas. More in cloud & hyperscale.

Techerati

Dec 14th, 2025

Carbon3.ai to Invest £1bn to Build the UK's First Renewable-Powered Data Centre Network

Carbon3.ai to invest £1bn to build the UK's first renewable-powered Data Centre network. A newly formed UK firm, Carbon3.ai, has announced a £1 billion ($1.3 billion) project: building a nationwide network of data centres powered entirely by domestic renewable energy. If successful, this could serve as a model for sovereign AI infrastructure for British enterprise, research, and public institutions. The company plans to repurpose existing industrial and energy-generation assets across the UK into high-performance compute hubs. Carbon3.ai says the £1 bn investment reflects the estimated cost to convert 50 MW of secured renewable baseload generation into data-centre capacity. Carbon3.ai is partnering with HPE, Vast Data, and WWT to develop the "national grid for AI," an idea based on HPE Private Cloud AI. According to its founders, the project will deliver a fully sustainable "AI mesh" which will be owned, powered, and secured domestically. This will reduce reliance on foreign-controlled cloud infrastructure, while at the same time offering low-carbon compute capacity. CEO Tom Humphreys noted, "The UK's competitiveness in AI depends on infrastructure that is truly sovereign, sustainable, and resilient." "It's not enough to invest in data centres," he continued. "We need a national backbone for AI that's owned, powered, and secured right here at home." Rising energy demand sharpens the case for renewable compute. Globally, data-centre energy demand is already high and continuing to rise. According to a 2025 technical review, data centres are responsible for about 1.7 % of global electricity consumption. In the UK, data centres consume approximately 2.5 % of national electricity. Expanding this infrastructure with renewable energy will help to meet increasing demand while addressing sustainability and emissions goals. As the same review notes, data centres could also provide flexibility for power systems, supporting broader transitions toward net-zero energy grids. Carbon3.ai says the £1 billion ($1.3 billion) investment reflects the estimated cost to convert 50 MW of secured renewable baseload generation into data-centre capacity. Carbon3.ai is partnering with HPE, Vast Data, and WWT to develop the "national grid for AI," an idea based on HPE Private Cloud AI. One of the announced projects: a modular "AI data centre" next to a landfill-gas-powered energy site in Derbyshire. The plan is to draw power from the adjacent facility to create an off-grid, renewable-powered compute hub. According to Carbon3.ai, the finished network could host up to 100,000 GPUs across multiple sites, offering scalable, low-latency, AI-ready compute for enterprises, public institutions, and researchers. This initiative could reshape how UK operators approach data centre projects. First, instead of retrofitting existing data centres, Carbon3.ai is building new facilities based on renewable power from the start. Then, by owning power generation and infrastructure, operators may be better positioned to comply with evolving ESG expectations, government policies, and energy-supply constraints. And a domestic sovereign network could reduce dependence on foreign cloud providers and improve data governance for sensitive workloads. Finally, this could offer a workable solution to the increasing stress on the power grid. As data-centre demand grows, integrating them into national energy planning will become increasingly important. Join Data Centre world. 4-5 march 2026, excel london. Where the Data Centre Community Builds What's Next. From sustainability to scalability, join the UK's largest gathering of mission-critical infrastructure professionals.

HPCwire

Dec 1st, 2025

HPE Enhances Data Center Development with Secure AI Factories Powered by NVIDIA

HPE enhances data center development with secure AI factories powered by NVIDIA. BARCELONA, Spain, Dec. 1, 2025 - HPE today announced an expansion of the NVIDIA AI Computing by HPE portfolio, introducing new solutions for secure and scalable AI factories, new AI datacenter interconnect to optimize AI workload performance across clusters operating over long distances or within multiple clouds, and the first AI factory lab in the European Union (EU) for customers worldwide to test and validate their sovereign AI factories. "HPE and NVIDIA continue to provide the foundation for secure AI factories at any scale, with new innovations that deliver a greater range of performance for more diverse workloads than ever before," said Antonio Neri, president and CEO of HPE. "Together, HPE and NVIDIA are showcasing our unique strengths to deliver true full-stack AI infrastructures that provide enterprises with a greater range of performance for more diverse workloads." "Every nation and enterprise needs to own the production of its intelligence," said Jensen Huang, founder and CEO of NVIDIA. "We're transforming the data center into an AI factory - a manufacturing plant for the new industrial revolution - and by deploying the full stack of NVIDIA accelerated computing and Spectrum-X Ethernet networking with HPE, we're creating the template for sovereign AI. The new AI Factory Lab provides a foundry where customers can turn data into value, securely and at scale." HPE Addresses Customers' Needs for More Control and Autonomy Over Their AI Infrastructure and Data HPE and NVIDIA are launching a new AI Factory Lab in Grenoble, France where customers can test and refine workloads on a sovereign, air-cooled AI factory environment. The lab is equipped with the latest NVIDIA AI Enterprise government-ready software, HPE servers, HPE Juniper Networking PTX and MX Series routers, NVIDIA accelerated computing, NVIDIA Spectrum-X Ethernet networking, and HPE Alletra storage. This new lab environment will also allow customers to validate performance on infrastructure located and running in the EU, designed to support scaled AI for the region, helping address data sovereignty and regulatory compliance needs of global enterprises operating within the EU. HPE is also partnering with Carbon3.ai to launch a Private AI Lab in London designed to accelerate UK enterprise AI adoption and built on HPE Private Cloud AI, NVIDIA AI Enterprise software suite and powered by NVIDIA AI infrastructure. Expanded HPE Private Cloud AI Capabilities to Address Data and Operational Sovereignty As European markets are increasingly prioritizing data and operational sovereignty to more easily adopt AI with a secure, private infrastructure, HPE Private Cloud AI has introduced new configurations, use cases, and capabilities, including: * NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on HPE Private Cloud AI, along with NVIDIA Hopper, give customers a choice of GPUs and provide greater flexibility across multiple workloads * The integration of STIG-hardened and FIPS-enabled NVIDIA AI Enterprise in air-gapped environments offers an added layer of security, enabling a solution capable of satisfying numerous compliance standards * HPE Private Cloud now supports GPU fractionalization to optimize utilization and lower costs, using NVIDIA Multi-instance GPU (MIG) technology * New Datacenter Ops Agents provided by World Wide Technology (WWT), NVIDIA, and HPE simplify AI data center management and strengthen HPE's unified operations across agentic AI and hybrid cloud environments HPE's Sovereign AI factory solutions are now available with new system designs that incorporate country-specific compliance requirements, making it easier for organizations to comply with local regulations. HPE sets a new standard for security by offering adaptable solutions that maintain and strengthen security while meeting diverse country regulations. The new engineering-validated reference architectures also include robust software security measures and systems designed to support compliance audits. Additionally, HPE's cybersecurity practice offers comprehensive advisory and professional services from workshops to management, and aligns with regulated industry needs, including solutions with NVIDIA technologies for sovereign compliance. HPE and NVIDIA Accelerate AI Factory Performance for Data and Data Centers HPE's AI factory networking solutions include the NVIDIA Spectrum-X Ethernet networking platform and NVIDIA BlueField-3 data processing units (DPUs), providing customers with accelerated networking across various production scenarios - datacenter to datacenter, datacenter to cloud. HPE solutions for AI factories have also been extended to include HPE Juniper Networking. This extension leverages the HPE Juniper Networks MX and PTX high-speed routing platforms to enable high-scale, secure and low latency connections from users, devices, and agents to AI factories and connections between clusters deployed across longer distances or across multiple clouds. As AI matures, businesses need smarter, more integrated and secure ways to deploy AI, refining how they store, manage, and unlock value from distributed data. To meet this demand, HPE today announced the HPE Alletra Storage MP X10000 Data Intelligence Nodes, a next-generation architecture that transforms the X10000 into an active data layer that delivers inline intelligence by bringing NVIDIA accelerated computing to where information lives and enriching data in real time for AI pipelines. This builds on HPE Data Fabric capabilities that unify access to data across edge, core, and cloud. By using the NVIDIA AI Data Platform reference design and running NVIDIA AI Enterprise software directly within the data path, the X10000 operates as a dynamic engine that analyzes data as it is ingested and automatically infers patterns to feed AI factories. This powerful solution processes, classifies, and optimizes data inline with RDMA for S3-compatible storage support and NVIDIA-accelerated performance. Additional new innovations include the NVIDIA GB200 NVL4 by HPE, which delivers a compact, power-efficient alternative to larger AI and HPC platforms by enabling enterprises to quickly and securely deploy high-performance AI inference for large language models (LLMs) and other generative AI applications. The NVIDIA GB200 NVL4 by HPE combines two NVIDIA Grace CPUs with four NVIDIA Blackwell GPUs, providing exceptional density of up to 136 GPUs per rack and offering a cost-effective option for organizations needing high performance computing without massive power demands. CrowdStrike, NVIDIA and HPE Collaborate for Unified AI Security HPE has selected CrowdStrike as an industry-leading security platform for HPE Private Cloud AI customers, unifying endpoint, identity, cloud, and data protection across hybrid and multicloud environments. The collaboration expands on Unleash AI partner CrowdStrike and HPE's work to secure end-to-end AI innovation - including large language models (LLMs) accelerated by NVIDIA - and builds on CrowdStrike's partnership with NVIDIA to deliver always-on AI agents for cybersecurity, advancing enterprises' ability to safely operationalize AI at scale. HPE Collaborates with Fortanix to Deliver NVIDIA Confidential Computing HPE is working with Fortanix to leverage NVIDIA Confidential Computing and Fortanix Armet AI, a turnkey platform for running secure and sovereign agentic AI in AI factories and highly regulated environments. Technology from Fortanix, a new Unleash AI partner, can be deployed on HPE Private Cloud AI and HPE ProLiant Compute DL380a Gen12 servers equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs to help enterprises in EMEA and around the world build and run secure, scalable AI workloads on-premises, in the cloud, or in AI factories. * The AI Factory Lab in Grenoble will be available in Q2 2026 * The NVIDIA GB200 NVL4 is available to order now * Sovereign AI factories are available to order now * HPE Alletra Storage MP X10000 Data Intelligence Nodes are available to order in January 2026 HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. 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Era4

Procurement Operations Manager

About the job