Apply for this Job

UploadChoose a CV

To find out about how we process your data, please read our privacy policy.




Job Overview

Senior Machine Learning Engineer in Cambridge, UK

  • Reference - NC56
  • Permanent
  • £80,000 - £100,000 per annum

Senior Machine Learning Engineer

Hybrid, Cambridge

Salary: Up to £100,000 per annum

Explore Group have partnered with a leading blockchain AI company that I s revolutionising industries through the fusion of blockchain technology and artificial intelligence. They specialise in creating cutting-edge solutions that enhance efficiency and drive automation on our innovative blockchain platform.

Role Overview:

As a Senior Machine Learning Engineer, you will play a pivotal role in advancing our state-of-the-art blockchain platform. You will be at the forefront of developing and implementing machine learning models that drive automation, streamline processes, and contribute to the evolution of our platform.


  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models on our blockchain platform.
  • Utilise your expertise in Python, PyTorch and Transformer models to create innovative solutions that optimise efficiency.
  • Implement modern machine learning techniques to enhance the capabilities of our platform.
  • Work closely with the engineering team to integrate machine learning components seamlessly into our blockchain infrastructure.
  • Stay updated on the latest advancements in machine learning and blockchain technologies, providing insights and recommendations for continuous improvement.


  • Minimum of 5 years of professional experience in Python development.
  • Extensive knowledge of PyTorch and practical experience in implementing machine learning models.
  • Strong understanding of Transformer models and their applications.
  • Proven experience in developing and deploying machine learning solutions in real-world scenarios.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.