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
We value practical experience and demonstrated ability over credentials. If you've built production AI systems that meet enterprise standards, we want to hear from you.
Role Summary:
We're seeking a full stack AI/ML Solutions Engineer to embed artificial intelligence throughout Era4's operations. This is a unique opportunity to work at the intersection of AI infrastructure provision and AI implementation; you'll leverage our GPU resources to build intelligent systems that transform how we deliver services and run our business.
You'll have the autonomy to identify opportunities where AI can drive efficiency, quality, and innovation. From automating customer onboarding and resource optimization to building intelligent monitoring and predictive maintenance systems, you'll design and implement solutions that give Era4 a competitive edge.
Critical to this role: Our customers include government, regulated sectors, and enterprise clients with stringent security and reliability requirements. Your solutions must meet enterprise grade standards for security, auditability, data governance, and operational resilience.
Key Responsibilities:
- Independently identify and prioritize high-impact AI/ML opportunities across IaaS/PaaS service delivery and corporate operations.
- Design and implement full-stack AI/ML applications from data pipeline to user interface.
- Build solutions using both our in-house GPU infrastructure and external AI services as appropriate.
- Develop intelligent systems for workload optimization, capacity planning, anomaly detection, and predictive maintenance.
- Apply AI to internal processes including contract analysis, pricing optimization, and business intelligence.
- Ensure all solutions meet enterprise security, compliance, and reliability standards.
- Create production-grade code with comprehensive testing, monitoring, and documentation.
Essential Experience:
AI/ML & Software Engineering:
- Strong foundation in ML fundamentals with hands-on experience deploying models to production.
- Proficiency in Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and modern AI tools.
- Full-stack development capabilities: APIs, data pipelines, databases, CI/CD.
- Experience with LLMs, RAG pipelines, or agentic frameworks and their application to real-world business problems.
Enterprise & Infrastructure:
- Understanding of enterprise security requirements, data governance, and compliance frameworks.
- Experience building reliable, auditable systems for regulated or high-stakes environments.
- Knowledge of Linux systems, containerization (Docker, Kubernetes), and infrastructure-as-code.
- Familiarity with GPU infrastructure or HPC environments highly valuable.
Problem-Solving & Autonomy:
- Demonstrated ability to independently identify problems and design practical solutions.
- Pragmatic approach to technology selection, build vs. buy vs. integrate.
- Strong analytical skills with attention to security and quality implications.
- Comfortable defining your own roadmap in a fast-growing organisation.
- Excellent communication skills e.g. able to explain trade-offs and limitations with both technical and non-technical stakeholders
One or more would be an advantage:
- AI/ML implementation in B2B, cloud infrastructure, or technical operations contexts (e.g. AIOps, platform engineering).
- Work with government, financial services, or other regulated sector clients.
- MLOps, AI orchestration platforms, and production ML lifecycle management.
- Understanding of enterprise requirements, data sovereignty, security clearance processes, and compliance requirements.
- Business process automation and intelligent workflow tools.
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.
How to Apply:
Please send your CV along with a brief cover letter describing:
- An AI/ML system you've built and deployed to production, particularly in enterprise or regulated environments.
- How you approach security, reliability, and quality when implementing AI solutions.
- An example of independently identifying and solving an ambiguous problem.
