Paddy Hobson


Paddy is a Principal Consultant who leads the Embodied AI & Robotics team at DeepRec.AI across Europe. Working closely with Startups, VCs, and reputable large enterprises predominantly, he collaborates with key AI Specialists both on the candidate and client side.

Paddy has been working in recruitment for over four years, specialising in placing AI and Computer Vision engineers across Europe. He has worked with several large enterprise businesses and helped many early-stage startups scale by hiring their first few employees. His clients consistently testify to his skill in identifying hard-to-find candidates and matching them with opportunities that work best for them in the long run.

Outside of work, Paddy is usually attempting (often unsuccessfully) to master the golf course or padel court. He enjoys training in the gym, discovering new places to eat, and winding down with a good film or series.

"The main reason I wanted to join Deeprec.ai was due to Anthony Kelly's (Co-Founder) reputation in the same market as me in Germany, having been his direct competitor for the last two years. Once I learned more about the pure AI focus of the business, along with Hayley Killengrey's (Co-Founder) excellent background, I knew it was the right move for me.”

Jobs from Paddy Hobson

Paris, Ile De France, France
Senior Edge Systems Engineer
Senior Edge Systems Engineer Location – Paris, France. Onsite. We're working with an ambitious technology company that's applying AI to solve complex challenges in healthcare. They're looking for a Senior Edge Systems Engineer to help deliver reliable, high-performance systems that operate across multiple customer sites. The Role You'll take ownership of the software and infrastructure that supports edge devices in the field, ensuring they remain connected, secure, and easy to manage. From diagnosing connectivity issues to improving system performance and scalability, you'll play a key role in keeping critical technology running smoothly outside of the traditional cloud environment. Working alongside engineering and infrastructure teams, you'll help build solutions that support large-scale video and data processing while improving monitoring, automation, and remote support capabilities. What You'll BringCommercial experience with Linux-based systems, edge computing, embedded platforms, or infrastructure engineering.Strong understanding of networking, system diagnostics, and troubleshooting distributed environments.Experience working with video processing, streaming technologies, or high-volume data transfer is highly desirable.Ability to automate workflows using Python, Bash, C++, or similar languages.Familiarity with containerisation, remote device administration, or cloud-connected hardware.A proactive, problem-solving approach and the confidence to work in a fast-moving environment.Bonus ExperienceNVIDIA Jetson or similar edge hardware.Docker, IoT, embedded Linux, or fleet/device management.Exposure to healthcare, medical technology, or other highly regulated industries.If you're excited by the challenge of building dependable edge systems that support innovative AI solutions in real-world environments, we'd love to hear from you.
Paddy HobsonPaddy Hobson