Machine Learning Engineer
Pubblicato il 13-10-2026 - Uni Systems in Italia
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Machine Learning Engineer to join our Uni Que Ispra team. In this role, you will have the opportunity to work closely with our customers in the public sector and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services. What will you be bringing to the team? Collect business requirement and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions, in detail:
To analyse user needs and requirements To identify and propose alternative implementations to support user requirements To architect a final system solution To contribute to the implementation of the identified architecture. To devise quality,
security and architectural plans and assist in their implementation Develop specifications and design of presentation interfaces with optimal usability/user experience; follow up with their implementation; Identify, collect, convert and update different data types/sets in several locations; Produces data models according to specific problems statements; Scripting and programming; Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...) Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies. Requirements
What do you need to succeed in this position? Master Degree + 3 years of relevant professional experience At least 3 years of experience in statistical computing and data visualization using R, S