No. All the energy intensive computations occur on dedicated hardware like GPU/TPU. These run a compiled instruction set that would not benefit from using a different language frontend. You have to tackle energy efficiency at the hardware level, and in this respect, the number of flops/watt has steadily gone up over the years. The ML tasks always grow to fill the extra computational efficiency though. At this point, progress in ML is the fruit of increased energy efficiency, not energy cost.