Company Description EntroMetrix develops a physics-informed intelligence layer that reduces operational complexity in manufacturing and industrial environments. By integrating advanced analytics with real-world production systems, the company enables continuous optimization across production, energy, and material flows. This approach helps organizations achieve higher efficiency, stability, and sustainability in their operations. EntroMetrix focuses on creating scalable, real-time solutions that unlock new standards of industrial performance. Team members work at the intersection of AI, physics, and manufacturing to solve challenging, high-impact problems.
Role Description This is a full-time, on-site AI Full Stack Developer, Manufacturing role based in the London Area, United Kingdom. The person in this role will design, build, and maintain full stack applications that power EntroMetrix’s physics-informed intelligence platform, integrating AI models with production-grade web services and data pipelines. Day-to-day responsibilities include developing front-end interfaces for industrial users, implementing robust back-end services and APIs, and connecting to manufacturing data sources and control systems. The role also involves collaborating with data scientists, domain experts, and product managers to translate manufacturing requirements into scalable software solutions, while ensuring performance, security, and reliability in production environments. The developer will contribute to code reviews, testing, documentation, and continuous improvement of the software architecture and deployment processes.
Qualifications

• Strong foundations in Software Development and Full-Stack Development, with experience delivering production-quality applications.
• Proficiency in Front-End Development, including modern JavaScript frameworks and Cascading Style Sheets (CSS) for responsive, user-friendly interfaces.
• Experience in Back-End Web Development, including RESTful APIs, microservices, and integration with databases and external services.
• Familiarity with AI or data-driven applications, such as integrating ML models into web services or working with data pipelines in industrial or IoT contexts.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience working in manufacturing, industrial, or operational technology environments is highly beneficial.
• Comfort with agile development practices, version control (e.g., Git), testing, and CI/CD pipelines.
• Strong problem-solving skills, ability to work on-site in a cross-functional team, and clear, collaborative communication.