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

You'll stand up Health & Safety across our data centre operations, and as we grow, our new-build projects too, building the processes, policies and management systems that let the business operate safely and with confidence. You'll act as our competent person under HSE guidance, with systems and external consultants available to support you, particularly in the early stages.

We're looking for someone who operates with genuine authority in this space: hands-on, decisive, and capable of translating strategic intent into working practice without waiting to be told how. This is a genuine opportunity to define how H&S is done here from first principles, with the scope and autonomy that comes with owning the function end to end.

Key Responsibilities:

Act as the organisation's competent person for Health & Safety, providing the technical judgement and sign-off that legislation requires, across both live data centre operations and new-build construction activity.
Design, write, and implement H&S policies, risk assessments, and management systems from scratch, turning "how we should do things" into clear, working practice that people actually follow.
Own day-to-day H&S delivery across multiple sites; inspections, audits, incident investigation, near-miss reporting, and permit-to-work management, not just the strategy behind it.
Act as client-side H&S lead on new-build projects, working alongside Principal Designers and Principal Contractors to ensure CDM 2015 compliance from design through to handover.
Own H&S training and induction programmes appropriate to data centre environments.
Manage relationships with external H&S consultants and specialists, using them to fill gaps in expertise while retaining ownership of decisions and outcomes yourself.
Maintain audit-ready records, incident logs, and compliance evidence across all sites, ready to withstand scrutiny from regulators, insurers, or clients.
Monitor and report on H&S performance, flagging risk and recommending action rather than waiting to be asked.

Essential Qualifications: (Must have)

NEBOSH National Diploma in Occupational Health & Safety.
Chartered (CMIOSH) or Graduate (GradIOSH, working towards Chartered) membership of IOSH.
NEBOSH Construction Certificate or equivalent CDM 2015-focused qualification.
Fire Safety qualification (e.g. NEBOSH Fire Safety Certificate)

Essential Experience:

Proven experience acting as a competent person / H&S lead, ideally across multi-site or technically complex environments (critical infrastructure, industrial, manufacturing, or construction).
Has built an H&S function or management system from a blank page, not just maintained one that was already in place.
Comfortable being hands-on: this is an individual-contributor role for the foreseeable future.
Working knowledge of CDM 2015 and experience operating as client-side H&S contact on construction or fit-out projects.
Resourceful and decisive: you make the judgement call, you don't defer every decision, but you know when something needs escalating rather than guessing.
Comfortable adjusting your approach depending on audience, whether that's a contractor on-site, a senior stakeholder, or an external auditor.

One or More Would Be an Advantage:

Experience in the data centre sector specifically, or another high-availability critical infrastructure environment.
Experience scaling an H&S function through a period of headcount or site growth.
Direct experience of ISO 45001, having gone through implementation or internal audit, not just familiarity with the standard.

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.

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About the company

Carbon3.ai builds the UK's sovereign and sustainable AI infrastructure by combining in-house renewable energy with a distributed AI mesh of 30+ data centers and an enterprise AI software stack. Its products provide ultra-low-latency AI compute through a UK-only, cross-border-free data backbone, delivered as AIaaS, TaaS, and MaaS, with carbon credits generated for every compute cycle. The company differentiates itself by owning a carbon-neutral infrastructure, prioritizing data sovereignty, ESG goals, and strong partnerships with HPE, VAST Data, and WWT. Its goal is to give the UK a secure, low-carbon AI backbone, reduce dependence on foreign infrastructure, and scale to over 100,000 GPUs with a 5MW site opening in the East Midlands by March 2026 as part of a £1 billion growth program.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Rugby, 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

Headcount

6 month growth

22%

1 year growth

29%

2 year growth

29%

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

Health & Safety Manager

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