Senior Machine Learning Engineer

📋 Description

• Leading technical scoping and architectural decisions for high-impact ML systems
• Designing and building production-grade ML software, tools, and scalable infrastructure
• Defining and implementing best practices and standards for deploying machine learning at scale
• Collaborating with engineers, data scientists, product managers, and commercial teams to solve
• Acting as a trusted technical advisor to customers and partners, translating complex concepts into
• Mentoring and developing junior engineers, actively shaping our team's engineering culture and

🎯 Requirements

• Full ML lifecycle understanding and significant experience operationalising models built with
• Deep expertise in software engineering and strong Python skills, focusing on building robust
• Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including
• Extensive experience working with container and orchestration tools such as Docker & Kubernetes
• Thrives in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving
• Communicates exceptionally well, confidently guiding both technical teams and senior, non-technical