AI/ML Research Engineer — Cambridge (On-site)

Hexwired Recruitment

Cambridge

On-site

GBP 51,000 - 91,000

Full time

5 days ago
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Job summary

Hexwired Recruitment in Cambridge, UK, is seeking a skilled ML Engineer/Researcher to join a multidisciplinary R&D team. You will research, design, train, and evaluate AI/ML models across diverse applications, turning research into deployable solutions.

Ideal candidates have a strong CS/Math/Engineering background and hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Keras, or JAX). This is a full-time on-site role with competitive salary and benefits.

Qualifications

  • Strong degree in Computer Science, Mathematics, Physics, Engineering, or a related STEM subject.
  • Commercial or research experience in Machine Learning, including industry, PhD, MSc, or personal projects.
  • Strong Python programming skills.
  • Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras, or JAX.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities

  • Research and develop innovative AI/ML solutions for challenging technical problems.
  • Design, train, and evaluate machine learning models across a variety of applications.
  • Rapidly prototype, test, and optimise new ideas.
  • Analyse research papers and apply the latest ML techniques.
  • Design experiments, interpret results, and present technical findings.

Skills

Python programming
ML experience
Analytical skills
Communication skills

Education

BSc or higher in Computer Science/Math/Engineering

Tools

PyTorch
TensorFlow
Keras
JAX

Job description

Hexwired Recruitment in Cambridge, UK, is seeking a skilled ML Engineer/Researcher to join a multidisciplinary R&D team. You will research, design, train, and evaluate AI/ML models across diverse applications, turning research into deployable solutions.

Ideal candidates have a strong CS/Math/Engineering background and hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Keras, or JAX). This is a full-time on-site role with competitive salary and benefits.

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