About the role
Havant is hiring a Machine Learning Engineer for work on enterprise AI solutions in Garbagnate Milanese. The role covers the full model lifecycle: preparing data, training and validating machine learning and deep learning models, tuning performance, and building end-to-end pipelines through production inference. You would integrate models into applications and microservices, build REST APIs with FastAPI, and work with Microsoft Azure.
The position also includes technical delivery for complex AI projects, setting architectural standards, and coordinating with data engineering and software development teams. Havant asks for at least five years of machine learning engineering experience, strong Python and cloud skills, and experience putting scalable models into production. Docker, Kubernetes, MLOps, generative AI, and pipeline orchestration are additional assets. The listing offers 40% smart working.
Highlights
- Develop and optimize ML and deep learning models.
- Build production pipelines, APIs, and enterprise integrations.
- Design cloud architectures and collaborate across technical teams.
- Lead technical delivery and mentor junior and mid-level colleagues.
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