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.bates@ansonmccade.com
LinkedIn: George Bates | LinkedIn
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.bates@ansonmccade.com
LinkedIn: George Bates | LinkedIn
Machine Learning Engineer
