Trainee Patent Attorney

AI and Machine Learning are transforming everything—from medtech and video rendering to autonomous vehicles. As innovation accelerates, protecting cutting-edge ideas has never been more important.

We’re looking for a graduate with excellent technical skills in AI/ML to join us as a trainee patent attorney. You’ll work directly with world-class clients, tackle complex tech and legal challenges and train to qualify as a UK and European Patent Attorney.

What we’re looking for:

• Degree in Computer Science, Engineering, Maths or similar (2:1 or above)

• High practical knowledge in areas like NLP, deep learning, ML model dev or computer vision

• Clear communicator, problem-solver, and curious thinker

What we offer:

• A structured training programme with high exam success rates

• Career progression from trainee to partner level

• Competitive salary + great benefits

• A collaborative, friendly workplace with a high sense of community

Start date: August 2026 or earlier

Are you passionate about cutting-edge technology like 5G, IoT, satellite systems, networking protocols or wireless infrastructure? Do you have a STEM background and a keen interest in intellectual property law?

Join Boult as a trainee patent attorney and help protect the technologies shaping our connected world.

In our Communications & networks sector, we work with some of the most innovative clients in the telecoms and tech industries—supporting them with patent drafting, prosecution and strategic IP advice on technologies ranging from mobile networks and communication hardware to standards-essential patents (SEPs) and AI-driven connectivity.

Why train with Boult?

• Work alongside highly respected attorneys in a collaborative, inclusive environment

• Get early exposure to top-tier clients and real-world patent work

• Be supported through your professional exams with structured training and mentorship

• Shape your career at a firm consistently ranked among the best in IP

Location: London, Cambridge or Reading

Start date: 2026 training intake

Who should apply? Graduates (or soon-to-be) with a degree in electronics, physics, engineering, computer science or related fields.