Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Stelvio is working with an advanced technology company operating at the intersection of artificial intelligence and industrial manufacturing. Their platforms are deployed directly into high-volume production environments, where AI systems support critical operational decisions in real time.

This is a highly technical environment focused on solving complex, real-world challenges across manufacturing operations, software engineering, applied physics, and data-driven systems. The team works closely with customers on-site, rapidly designing and deploying solutions that deliver measurable impact.

You will join a highly capable engineering team responsible for designing, building, and deploying software that powers AI-driven decision systems in industrial environments.

This role combines hands-on software engineering with real-world problem solving. You will work closely with engineers, researchers, and customer-facing teams to understand operational challenges, develop prototypes, and deliver production-ready systems. The environment prioritises rapid iteration, ownership, and practical solutions deployed directly into live production settings.

• Develop robust and maintainable software solutions for AI-driven industrial applications
• Work closely with internal teams and customers to understand operational and technical requirements
• Build prototypes and rapidly iterate to deliver production-ready systems
• Design and improve infrastructure, deployment pipelines, and development workflows
• Implement secure, scalable, and reliable software and platform solutions
• Support deployment of systems in edge environments with constrained connectivity and resources
• Contribute to CI/CD pipelines, automated testing, and deployment processes
• Collaborate closely with multidisciplinary teams including engineers, researchers, and product stakeholders

• Strong software engineering fundamentals, supported by a degree in Computer Science, Engineering, Physics, Mathematics, or similar — or equivalent practical experience
• Strong programming skills in at least one of the following:
  Python, C/C++, Go, Typescript, or Java
• Experience building production-quality software systems
• Experience with CI/CD pipelines, automated testing, and deployment workflows
• Familiarity with observability and monitoring tools such as Grafana, Prometheus, or similar
• Experience with containerisation and orchestration tools such as Docker and Kubernetes
• Ability to work in fast-moving, dynamic environments with a high level of autonomy
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders
• Preference for working in an office-based, highly collaborative engineering environment
• Opportunity to work on cutting-edge AI systems deployed in real-world industrial environments
• High-impact role with direct ownership and visibility into production systems
• Collaborative, highly technical team environment
• Exposure to complex engineering challenges across software, infrastructure, and applied AI
• Office-based culture focused on rapid iteration and continuous innovation