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AI/ML Solutions Engineer
Posted 8 hours 37 minutes ago by Carbon3ai Limited.
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 SummaryWe'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.
- 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.
- Experience with LLMs, RAG pipelines, or agentic frameworks and their application to real world business problems.
- 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.
- 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.
- 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.
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 & InclusionEra4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
How to ApplyPlease 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.
Executive & Operations
United Kingdom - Hybrid (Visit to office / site locations required)
Carbon3ai Limited.
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