Position: Machine Learning Platform Engineer A compelling career opportunity exists for a skilled Machine Learning Platform Engineer to drive meaningful impact. The incumbent will operate in a structured yet agile environment that prioritises quality and professional growth. Duties and Accountabilities: Diagnose, troubleshoot, and resolve software defects and system performance issues. Collaborate with product managers, UX designers, and QA engineers to ship quality features. Participate in code reviews, sprint planning, and technical architecture discussions. Ensure application security, performance, and scalability through proactive engineering. Evaluate and adopt third-party tools, libraries, and frameworks to improve velocity. Produce clear technical documentation including architecture diagrams and API contracts. Develop and maintain RESTful APIs, microservices, and backend services at scale. Design, develop, test, and deploy scalable software applications aligned to specifications. Key Skills and Qualifications: 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Critical and strategic thinking skills with the ability to translate insights into clear actions. Sound understanding of organisational dynamics and stakeholder management in complex environments. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Recognised qualification in the relevant professional field at the undergraduate or graduate level. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Proficiency in one or more languages: Python, Java, JavaScript, C++, Go, or equivalent. This is an outstanding opportunity for a motivated professional to advance their career within a reputable organisation.