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.”

Senior Reinforcement Learning EngineerZurich | Hybrid | Full-timeYou’ve already deployed reinforcement learning on real robots. Now you can apply that experience to autonomous excavators working across different machines, sites and soil conditions. You’ll join a Series A robotics company taking Physical AI into construction, with systems already deployed across multiple countries.You’ll build learning-based planning and control systems that work outside the simulator. That means improving simulation and sim-to-real transfer, designing data pipelines for real-world training, running experiments on physical machines and understanding why behaviour changes when conditions get messy. You’ll also integrate learned components into the wider autonomy stack and help shape how the system moves from prototype into a reliable product.This is a hands-on engineering role for someone with 2–5 years of industry experience in reinforcement learning for control or planning, who has actually deployed systems on physical robots. You’ll need strong Python and PyTorch skills, good C++, experience with GPU-accelerated simulation, and the ability to debug real-world robotic behaviour. Experience with hydraulic machinery, large-scale deployments, imitation learning or production rollout strategies would be useful.You’ll have genuine scope to influence the technical direction as the autonomy team builds a long-lived system designed to operate across the construction industry. If you want your RL work to move from simulation into machines doing real work, this is an opportunity to do exactly that.You’ll need:2–5 years’ industry RL experience in control or planningProven deployment on physical robotsStrong Python/PyTorch and good C++Experience with simulation and sim-to-realWillingness to travel when projects require itIf the challenge fits your background, let’s have a conversation about the role and the problems you’d be working on.

Jobs from Paddy Hobson

Reinforcement Learning Engineer