Engineering Manager - Machine Learning - MLOPs - Cloud

Purpose-driven Innovation – Healthcare with AI I am partnering with the high-growth digital innovation arm of an established global technology corporation. They develop secure, cutting-edge AI and cloud-based SaaS solutions designed to optimize operational efficiency and transform modern healthcare. About Job • Impactful Leadership: Provide hands‑on technical guidance and drive daily execution for an agile, talented team of machine learning specialists. • Scalable Architecture: Partner closely with engineers to design, optimize, and scale production‑grade ML models and pipelines on the public cloud. • Cross‑Functional Synergy: Bridge the gap between research, engineering, and product teams to translate business vision into high‑performing deliverables. • Talent Empowerment: Actively build, mentor, and grow a best‑in‑class engineering culture while managing core departmental resources. • Cutting‑Edge Delivery: Oversee end‑to‑end software product shipping, prioritizing performance optimisation and robust system testing. • Strategic Visibility: Track and report on engineering velocity, system health, and infrastructure performance directly to senior leadership. Skills and Requirements • Education: Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline. • Proven Track Record: 8+ years of experience building and deploying successful machine learning software applications at scale. • Leadership Experience: 3+ years of direct people management experience steering software and ML engineering professionals. • Cloud Infrastructure: Strong proficiency architecting and launching complex ML applications within public cloud environments (Azure preferred). • MLOps Core: Deep understanding of modern MLOps practices, automated data pipelines, and continuous integration (CI/CD) workflows. • Engineering Standards: Strong grasp of robust software development practices, including Git/GitHub version control, test automation, and code reviews. To apply online, please use the 'apply' function. Alternatively, for a direct conversation about this opportunity, you may contact Evangeline. (EA: 94C3609 / R24124002) #J-18808-Ljbffr