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# AI/ ML Engineer

- **Company:** Lynx Recruitment Ltd
- **Location:** Royston, UK
- **Salary:** £45,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Deep Learning, Keras, SC Clearance, Information Technology
- **Published:** July 31, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5821418604

## About the Role

* A PhD (or be close to completing one) in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Physics, Engineering or another highly quantitative discipline.
 * Research experience involving machine learning, deep learning, optimisation or statistical modelling.
 * Strong Python programming skills.
 * Experience with frameworks such as PyTorch, TensorFlow, JAX or Keras.
 * Experience designing experiments, evaluating model performance and interpreting results.
 * A curious mindset and a passion for exploring emerging technologies.
 * Excellent written and verbal communication skills.
 * The ability to work independently while collaborating within highly technical multidisciplinary teams., This is an excellent opportunity for PhD graduates and early-career researchers looking to apply their expertise in a collaborative, innovation-led environment where cutting-edge AI research directly contributes to solving complex national security and defence challenges. Due to the nature of the work, applicants must be eligible to obtain UK Security Clearance and must be sole British. This position is based on-site in Cambridge and does not offer visa sponsorship.

## Description

AI/ML Engineer (PhD graduate) As an AI/ML Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex technical challenges.Your responsibilities will include:

 * Researching and evaluating state-of-the-art AI and machine learning techniques.
 * Designing, implementing and training machine learning models for novel applications.
 * Developing proof-of-concept systems and rapid prototypes.
 * Designing experiments, analysing results and translating findings into practical engineering solutions.
 * Applying scientific thinking to solve complex multidisciplinary problems.
 * Collaborating with software engineers, mathematicians, physicists and systems engineers.
 * Presenting technical findings to internal teams and external stakeholders.
 * Contributing to research strategy and identifying future technical opportunities.


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