Titanium and its alloys have been widely used in the automotive, biomedical and aerospace industries due to their good strength-to-weight ratio and corrosion resistance. They are considered as difficult-to-machine materials i.e. Titanium and its alloys possess poor machinability. The experimental work reported in the present paper attempts to enhance the machinability of Titanium Grade 2 (a good candidate for bio-implants) under the influence of minimum quantity lubrication at high speed conditions. In this work full factorial technique has been adopted to design and conduct the machining experiments (27 Nos). The paper details the experimentation, optimization, and effect of machining parameters on surface roughness and tool wear during MQL assisted high speed machining of Titanium Grade 2. Investigation reveals significant effect of machining parameters under MQL environment on surface roughness and tool wear. Machining at optimum combination of parameters resulted in precision finish with average roughness value 0.67 μm and maximum tool flank wear value 0.210 mm. The outcomes of this investigation identify MQL as a sustainable substitute of conventional wet cooling for enhanced machinability of Titanium Grade 2 at high speed conditions.