Machine Learning requires an enormous amount of mathematical computation per second. Several architectures have been proposed to match the computation requirements and improve the calculation efficiency. Among these, the Systolic Array accelerators show promising results. These accelerators are composed of several Processing Elements (PEs), arranged on multiple symmetrical lines, which include a Multiply-And-Accumulate module. Specific multi-precision multipliers are increasingly popular since they can execute different precision multiplications and they can be integrated into Systolic Array accelerators. In this work, a multi-precision multiplier is proposed. The objective of the design is to build up a multiplier formed by combining smaller and equal multipliers.