At a Glance
- Tasks: Transform operations with AI, automating processes and building intelligent systems.
- Company: Join Era4, a mission-driven start-up revolutionising AI infrastructure in the UK.
- Benefits: Enjoy autonomy, high visibility, and the chance to shape a next-gen company.
- Other info: Diversity and inclusion are at our core; we celebrate every unique voice.
- Why this job: Make a real impact on national infrastructure while working with cutting-edge technology.
- Qualifications: Experience in AIOps engineering and a strong foundation in AI fundamentals.
The predicted salary is between 60000 - 80000 € per year.
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.
We're seeking an AIOps 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
- Embed inside Era4 to audit their workflows across every department and identify automation opportunities.
- Translate unstructured, manual processes into clean, reliable automated systems, using AI, no-code, custom code, or whatever works.
- Independently identify and prioritise high‑impact AI opportunities across IaaS/PaaS service delivery and corporate operations.
- Design and implement full‑stack AI Ops 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 optimisation, 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
- AIOps Engineering: Engineers who can distil complex problems and architect end‑to‑end AI systems, not just experiment with models.
- Strong AI Ops builders, shipping, running, monitoring, and improving AI systems in production.
- Strong foundation in AI fundamentals with hands‑on experience deploying models to production.
- Proven experience implementing AI within enterprise environments (security, governance, reliability).
- AI‑native owner‑operators who identify opportunities, build solutions, and stay accountable post‑launch.
- Real practitioners with GitHub & GitLab repositories showcasing production‑grade AI/ML systems.
- Fluency across automation tooling, you know when to use no‑code tools, custom code, or an AI agent and you select the right one.
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.
AIOps Engineer employer: Era4
At Era4, we pride ourselves on being an exceptional employer, offering a unique opportunity to work at the forefront of AI infrastructure development in the UK. Our commitment to renewable energy and brownfield regeneration not only fosters a sustainable work environment but also empowers our employees with autonomy and the chance to drive innovation in a mission-driven start-up. With a strong focus on diversity and inclusion, we provide ample opportunities for professional growth and the ability to make a meaningful impact in critical national infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land AIOps Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build production-grade systems. This will give you an edge and show employers that you mean business.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex issues in the past and how you can apply those experiences to the role at Era4. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Era4 team.
We think you need these skills to ace AIOps Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI systems and enterprise environments. We want to see how your skills align with our mission at Era4, so don’t hold back on showcasing relevant projects!
Showcase Your Practical Experience:We value hands-on experience over credentials, so include specific examples of AI systems you've built or worked on. If you’ve got GitHub or GitLab repositories, link them! This is your chance to show us what you can do.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the AIOps Engineer position. We can’t wait to hear from you!
How to prepare for a job interview at Era4
✨Know Your AI Fundamentals
Make sure you brush up on your AI fundamentals before the interview. Era4 is looking for someone who can distil complex problems and architect end-to-end AI systems, so be ready to discuss your hands-on experience deploying models to production.
✨Showcase Your Practical Experience
Bring along examples of your work that demonstrate your ability to build production-grade AI systems. Having a GitHub or GitLab repository showcasing your AI/ML systems will give you an edge, as they value practical experience over credentials.
✨Understand Enterprise Standards
Familiarise yourself with enterprise security requirements, data governance, and compliance frameworks. Be prepared to discuss how your solutions meet these standards, especially in regulated environments, as this is critical for Era4's operations.
✨Be Ready to Identify Opportunities
During the interview, think about how you can independently identify high-impact AI opportunities within their workflows. Show your problem-solving skills by discussing how you would translate unstructured processes into reliable automated systems.
