Company Description EntroMetrix develops a physics-informed intelligence layer designed to radically reduce operational complexity in industrial environments. By combining advanced analytics with domain-specific models, the company enables continuous optimization across production, energy, and materials. This approach helps industrial organizations increase efficiency, stability, and resource utilization while reducing waste and downtime. EntroMetrix aims to set a new standard of industrial performance by embedding intelligence directly into core operations. Team members join a mission-focused environment where deep technology and real-world impact intersect.
Role Description As a Full Stack Developer, Industrial AI at EntroMetrix, you will design, build, and maintain end-to-end web applications that power the company’s industrial intelligence platform. You will work on both front-end and back-end components, integrating data pipelines, APIs, and physics-informed models into reliable, scalable, and secure software solutions. Day-to-day responsibilities include implementing user interfaces, developing services and microservices, optimizing application performance, writing automated tests, and collaborating closely with data scientists, ML engineers, and product stakeholders. You will participate in code reviews, architectural discussions, and deployment processes to ensure high-quality software delivery. This is a full-time, on-site role based in the London Area, United Kingdom.
Qualifications

• Strong experience in Full-Stack Development and Software Development, including designing, building, testing, and maintaining production-grade applications.
• Proficiency in Front-End Development, including modern JavaScript frameworks, responsive design, and styling with Cascading Style Sheets (CSS).
• Hands-on experience in Back-End Web Development, including RESTful APIs, database integration, and scalable service architectures.
• Comfort working across the full stack, integrating front-end and back-end components into cohesive, secure, and performant solutions.
• Solid understanding of software engineering best practices, including version control (e.g., Git), CI/CD, code reviews, and automated testing.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration tools (e.g., Docker, Kubernetes) is highly beneficial.
• Exposure to data-intensive or AI/ML-driven applications, especially in industrial or IoT contexts, is a strong plus.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Ability to collaborate in a multidisciplinary team, communicate clearly with technical and non-technical stakeholders, and work on-site in the London Area, United Kingdom.