Company Description EntroMetrix develops a physics-informed intelligence layer that reduces operational complexity in industrial environments. By combining advanced analytics with domain-specific physics, the company enables continuous optimization across production, energy, and materials. This approach is designed to help manufacturers improve efficiency, stability, and sustainability at scale. EntroMetrix focuses on creating practical, deployable solutions that integrate with existing systems and workflows. Team members collaborate closely with industry partners to unlock a new standard of industrial performance.
Role Description This is a full-time, on-site role based in the London Area, United Kingdom for a Full Stack Developer, AI in Manufacturing. The role involves designing, developing, and maintaining full stack applications that power EntroMetrix’s physics-informed intelligence platform. You will build and integrate front-end interfaces with robust back-end services, ensuring performant, secure, and scalable systems for industrial use cases. Day-to-day work includes collaborating with data scientists and domain experts to integrate AI and physics-based models into production-grade web applications, implementing APIs, and optimizing data pipelines. You will also be responsible for writing clean, testable code, participating in code reviews, troubleshooting production issues, and contributing to architectural decisions that support continuous optimization in manufacturing environments.
Qualifications

• Strong Full-Stack Development and Software Development experience, including building and maintaining production-grade web applications.
• Proficiency in Front-End Development and Cascading Style Sheets (CSS), with the ability to create responsive, intuitive, and performant user interfaces.
• Hands-on experience with Back-End Web Development, including APIs, databases, and integration with data or AI services.
• Experience working with modern web frameworks (e.g., React, Vue, Angular, or similar) and server-side technologies (e.g., Node.js, Python, Java, or similar).
• Familiarity with AI/ML workflows or data-intensive systems in an industrial, IoT, or manufacturing context is highly beneficial.
• Understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) is an advantage.
• Strong problem-solving skills, attention to detail, and the ability to collaborate effectively in a multidisciplinary team.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.