Software Engineering Internship Program (Summer 2027)

What you'll be doing

  • Own a well-defined project that contributes to the success of your team.
  • Write clean, well-tested, maintainable code using modern languages, tools and engineering practices.
  • Debug, test and profile your work, and document it so others can build on it.
  • Collaborate with engineers and mentors, take part in code reviews, and share your progress and learnings.

Requirements

  • Penultimate-year student, or a final-year student planning to go on to a one-year master’s course.
  • Permanent right to work in the UK; candidates on a student visa cannot be considered.
  • Available for full-time work for the entire 12-week program, from June to early September in Manchester.
  • Keen to work with AI technologies and have previous experience building AI agents and automated workflows.

Nice to haves

  • Currently enrolled in a degree program in Computer Science, Engineering, or a related field.
  • Proficiency in one or more of C, C++, Python, JavaScript, TypeScript, or similar languages, ideally with projects, open source, or hackathon work beyond coursework.
  • Solid grounding in computer science fundamentals such as data structures, algorithms, operating systems, or networking concepts.
  • Hands-on experience using GenAI tools in coursework, projects, or personal work.
  • Strong problem-solving and technical communication skills.
  • Proactive mindset with passion for continuous learning and fast iteration.

Perks and benefits

  • Paid 12-week internship program.
  • Inclusive, collaborative work environment with a hybrid working model (office Monday-Thursday, flexible remote Fridays).
  • Diverse benefits package including global access to mental health and financial wellness resources.
  • Local benefits may include healthcare (medical, dental, vision), life, accident, disability, commuter, and retirement options.
  • Support for time off aligned with local leave policies and personal needs.
  • Reasonable accommodations provided during the hiring process and employment.
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