Machine Learning Engineer

Machine Learning Engineer Day Rate: Up to £650 outside IR35 Industry: Defence/National Security Location: Central London - 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: 02077806706 Email: george.batesansonmccade.com LinkedIn: George Bates | LinkedIn Machine Learning Engineer