Machine Learning Engineer

This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up future delivery, work closely with multidisciplinary teams to address complex client needs, take ownership of technical definition and system design, establish best practices for scalable deployment, and provide clear technical guidance to stakeholders across a range of audiences.

• You have end-to-end experience with machine-learning workflows, including taking trained models and integrating them into live systems using modern ML tooling
• You are highly proficient in Python and apply sound engineering principles when designing and building software
• You have practical experience designing and operating systems within large-scale cloud environments, with an understanding of secure and resilient architecture.
• You have experience packaging applications for repeatable deployment and operating them reliably across scalable runtime environment
• You have a solid grasp of the mathematical and conceptual foundations that underpin modern machine-learning methods
• You communicate clearly and effectively, supporting technical teams while providing trusted guidance to a wide range of stakeholders
• You are comfortable operating in dynamic settings and take ownership of defining, solving, and delivering end-to-end solutions

Xcede has started working with a leading AI solutions company. Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients.