About Bornea
Bornea (UK) Limited develops advanced technologies for defence, aerospace, security, and space applications. Our work spans artificial intelligence, electronic warfare, autonomous systems, signal processing, sensing technologies, robotics, and embedded computing. We work with government, military, and commercial customers to develop innovative solutions from concept through deployment.
We are seeking a talented Machine Learning Engineer with a strong background in Digital Signal Processing (DSP) to support the development of next-generation sensing, detection, classification, and autonomous decision-making systems.
The Role
The successful candidate will contribute to the design, development, testing, and deployment of machine learning algorithms for processing real-world sensor and communications data. Projects may involve RF spectrum monitoring, electronic warfare, radar, acoustic sensing, electro-optical systems, autonomous platforms, and edge AI applications.
You will work alongside multidisciplinary teams of engineers and scientists to develop algorithms that operate under challenging real-world conditions and on resource-constrained embedded platforms.
Key Responsibilities
- Design and implement machine learning and signal processing algorithms for detection, classification, tracking, and anomaly detection.
- Develop and evaluate AI/ML models using real-world and simulated sensor datasets.
- Perform signal analysis in time, frequency, and time-frequency domains.
- Develop DSP pipelines for RF, radar, communications, acoustic, and imaging systems.
- Optimize algorithms for deployment on embedded and edge computing platforms.
- Support data collection, dataset generation, labeling, validation, and performance assessment activities.
- Conduct algorithm testing, verification, and validation activities.
- Contribute to technical reports, project documentation, customer presentations, and proposal development.
- Collaborate with software, electronics, RF, and systems engineers throughout the development lifecycle.
Essential Requirements
- Degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline.
- Strong understanding of Digital Signal Processing principles.
- Experience developing machine learning models using Python.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
- Knowledge of statistical signal processing and feature extraction techniques.
- Experience analyzing complex datasets and evaluating algorithm performance.
- Strong programming skills in Python and/or C++.
- Ability to communicate technical concepts clearly in written and verbal form.
- Eligibility to obtain and maintain UK security clearance.
Desirable Requirements
- Experience with RF signal processing, spectrum analysis, radar, communications, or electronic warfare systems.
- Experience with deep learning for sensor data analysis.
- Knowledge of CNNs, RNNs, Transformers, and modern machine learning architectures.
- Experience with embedded AI deployment on ARM, NVIDIA Jetson, FPGA, or similar platforms.
- Familiarity with GNU Radio, MATLAB, Simulink, or SDR platforms.
- Experience with time-series analysis and anomaly detection.
- Knowledge of sensor fusion and multi-modal machine learning.
- Experience working on defence, aerospace, security, or government-funded R&D projects.
- Understanding of MLOps, model optimization, and deployment workflows.
What We Offer
Bornea provides the opportunity to work on cutting-edge technology programmes involving artificial intelligence, sensing, autonomous systems, electronic warfare, and space technologies. You will join a highly technical and collaborative team where innovation, experimentation, and technical excellence are encouraged.
Benefits include:
- Competitive salary and benefits package.
- Opportunity to work on nationally significant defence and security programmes.
- Exposure to a broad range of advanced technologies and applications.
- Professional development and training opportunities.
- Flexible and dynamic engineering environment.
Pay: £45,000.00-£120,000.00 per year
Benefits:
- Casual dress
- Free parking
- On-site parking
Work Location: In person
