Machine Learning Engineer

Anson McCade
London
2 weeks ago
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Machine Learning Engineer

Day Rate:Up to £650 outside IR35

Industry:Defence/National Security

Location:CentralLondon - Hybrid

Duration:3 Month Rolling

Start Date:1 Week Notice


The Opportunity:

The UK’s leading AI Consultancy seeks an influential ML Engineer to push the boundaries of innovation in a mission-critical defence project.


The Role:

You'll join a high-performing ML engineering team of data science and AI experts solving complex challenges in Radar and Sonar Signal Processing to develop bespoke AI/ML algorithms that drive Intelligence, Surveillance, Reconnaissance, and Navigation Systems, shaping the future of defence technology.


Essential Requirements:

  • British National with Central Government SC Clearance
  • Proficiency in C/C++, Python, VHDL/Verilog for FPGA programming, radar simulation tools (e.g. MATLAB, Simulink), and real-time embedded systems.
  • In-depth knowledge of radar principles (Doppler, pulse, continuous wave, synthetic aperture), radar signal processing, and algorithms.
  • Practical experience in radar system design, development, testing, and troubleshooting, with knowledge of specific applications like military, automotive, and weather radar.
  • Familiarity with machine learning (ML) domains such as NLP, Bayesian inference, deep learning, and AI safety.
  • Experience with data science libraries (e.g. NumPy, Pandas, Scikit-Learn) and MLOps tools for deployment and scalability.
  • Background in quantitative research (e.g. STEM PhD) or professional analyst roles, focusing on radar systems in Defence.
  • Strong mathematical reasoning and understanding of statistical tests and probability.
  • Research experience (PhD/Postdoc) with academic publications and conference presentations.
  • Commercial experience, including customer-facing roles or project management


For more information or to apply, please reach out to:


Contact:

Email:

LinkedIn:George Bates | LinkedIn

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