Sisters Mila and Milly make history as Northumbria Police’s latest dog recruits

Watch more of our videos on Shots! 
and live on Freeview channel 276
Visit Shots! now
The two newest members of the Northumbria Police force have graduated from doggy school

Two very studious scholars have passed their doggy tests to become the first Northumbria Police dogs specialising in cyber crime.

Sisters Milly and Mila, aged two, have become the first in the region to complete specialist training to become digital detection search dogs.

Hide Ad
Hide Ad

The English Springer Spaniel siblings are trained to locate USB sticks, SIM cards, mobile phones and other digital devices.

Heaping praise on the working dogs, Sergeant Julie Neve of Northumbria Police’s Dog Unit, said: “Milly and Mila are exceptional additions to our unit.

"As digital detection search dogs, they’ll be invaluable assets to many departments in the Force.

“On the average working day, they could be doing anything from assisting the Paedophile Online Investigation Team (POLIT) in a home search for hidden mobile devices and helping uncover illegal images, such as child pornography.

Hide Ad
Hide Ad

“Their superior noses will also be able to sniff out concealed SIM cards or devices linked to drug dealing and organised crime – their potential is limitless and I really can’t enthuse enough about just how valuable they will be to our Force."

Milly and Mia were adopted into the Force in 2020 and underwent in-house training by specialist dog trainers.

The seven-week course added to their previous ability training.

When not working, the sisters live with their handlers and are happy family pets.

Sergeant Neve added: “Good luck in your new jobs Milly and Mila – I know you’ll make us all proud with your many achievements!”

Related topics:

Comment Guidelines

National World encourages reader discussion on our stories. User feedback, insights and back-and-forth exchanges add a rich layer of context to reporting. Please review our Community Guidelines before commenting.