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Machine Learning Consultant

Posted 1 hour 14 minutes ago by Lynx Recruitment Ltd

Permanent
Not Specified
Other
Cambridgeshire, United Kingdom
Job Description

*Must be Sole British National for this role*

This is an exciting opportunity to join a cutting-edge technology consultancy working at the forefront of innovation in defence and homeland security. As a Machine Learning Consultant, you will play a key role in developing advanced solutions that help protect the UK from emerging technological and cyber threats.

About the Role
You will work on a wide range of challenging, meaningful projects alongside multidisciplinary teams of scientists and engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications.
You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products.

Key Responsibilities

  • Design, develop, and deploy machine learning models for novel or complex problems.
  • Research and experiment with emerging model architectures and ML technologies.
  • Build rapid prototypes and assess feasibility for real-world applications.
  • Work across disciplines, integrating science, engineering, and machine learning.
  • Solve technical challenges across the entire ML pipeline and development life cycle.
About You
*Must be Sole British National for this role*

You are curious, creative, and bring a strong scientific approach to problem-solving. You enjoy exploring new concepts, learning quickly, and applying ML in innovative ways.

You will have:
  • A 2:1 or above degree in Maths, Physics, Engineering, Computer Science or a similar subject.
  • Strong Python programming skills.
  • Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience building ML solutions for novel, edge, or resource-constrained environments.
  • Familiarity with a variety of ML techniques (eg, computer vision, audio, generative models).
  • Knowledge of GPU hardware and programming languages such as CUDA.
Desirable:
  • Graduate-level research experience or equivalent R&D experience.
  • Experience in client-facing or consultancy-style roles.
  • Ability to quickly pick up new technical domains.

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