Graduate AI Engineer (2027 start)

Cambridge Consultants Ltd
Cambridge, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£60,824.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Bioinformatics Python (Programming Language) Machine Learning Signal Processing Software Engineering Reinforcement Learning Large Language Models Prompt Engineering Git Information Technology Software Coding
+1 more
Software Version Control

Job description

We have an exciting opportunity for an engineer within our AI & Algorithms department. As an AI & Algorithms Engineer, you’ll work within our team of talented engineers and scientists on a diverse range of projects. Our projects span areas that include robotics and other autonomous systems, novel sensing systems such as radar and photonics, engineering biology, and many others. With cutting-edge labs and computing resources at your disposal, you’ll use technology to solve problems in the real world., * Building intelligent systems, developing your skills through hands-on coding and training/testing models.

  • Working on projects for our clients to solve real-world problems.
  • Learning software development skills in mixed-discipline teams, attending stand-ups and contributing to planning sessions.
  • Contributing to our internal research and development programs, building on state-of-the-art literature to produce our own, market-leading solutions and compelling demonstrations that showcase our expertise to clients.
  • Communicating the results of your work to your colleagues and clients.

Requirements

We are looking for someone with strong academic credentials, such as a degree/Master’s/PhD, in a relevant technical subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics.

You will also have:

  • Interest in applying AI and algorithmic techniques to real-world problems.
  • Strong Python programming skills and understanding of modern version control (e.g. Git)

While not essential requirements, we would also be very interested if you have experience with any of the following:

  • Foundation models (LLM, VLMs)
  • Prompt engineering and agentic workflows
  • Signal processing
  • Bioinformatics
  • Reinforcement learning
  • Transformers and diffusion models
  • Robotics (including VLA models)
  • Edge compute

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