Machine Learning Researcher
City Of London, Central London, Greater London, England, UK
Listed on 2026-07-21
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IT/Tech
Machine Learning/ ML Engineer, AI Business & Operations, AI Engineer (Applied/Software)
ML algorithm development in the RF domain for electronic warfare
South East England, hybrid working; to £58,000 + Benefits
This renowned research institute is developing world‑class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies. They research new algorithms and techniques to be used in congested and chaotic RF environments and develop subsequent proof‑of‑concepts. While there is an academic feel to the work it has real‑world impact as your discoveries are further developed and deployed by other teams.
Role OverviewThe overriding objective of this team is to ensure the continued security and defence of the UK and UK personnel both at home and overseas. Your research will therefore be focused on detection and exploitation of RF signals including both protection measures and offensive capabilities. You will need to be eligible and willing to undergo SC security clearance checks. This typically means you need to be a UK citizen.
ResponsibilitiesAs part of this 3‑year fixed‑term contract, you will:
- Develop ML algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains.
- Apply ML techniques to real‑world problems in a commercial or academic setting.
- Lead high‑quality research projects, publishing results in top‑tier reviewed journals.
- Strong academics, including a relevant PhD or equivalent research‑focused commercial experience.
- Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar domains.
- Commercial or academic experience applying ML techniques to real‑world problems.
- Experience leading high‑quality research projects including publishing research to top‑tier reviewed journals.
- Hourly wage up to £58,000 + benefits.
- Hybrid working:
Headquarters in central London; weekly office presence, with support for significant home working (as little as one day per week). - Private medical and dental plans.
- 10% employer pension contributions.
- Extensive structured professional development programme.
Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi‑Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python, PyTorch, Jupyter, Rmarkdown.
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