CareerAddict

RF Data Scientist / Researcher

CV-Library

Posted on Jun 25, 2026 by CV-Library
London, United Kingdom
Engineering
Immediate Start
£45k - £50k Annual
Full-Time
Applying modern AI techniques to the RF signals domain

This research position has a three year term, working with sensor data in the RF signals domain, surveying, developing and applying modern techniques, including the use of AI. The recognition, identification, localisation and manipulation of relevant signals are topics of interest.

You will have:

* A PhD, or equivalent commercial experience, in a field making good use of techniques from physics, electronics, statistics, numerical methods or software engineering.

* British nationality and eligibility for UK security clearance.

* Either practical experience applying machine learning to real-world problems, or experience developing relevant algorithms in RF signals – or a combination.

* If you do not have RF signals experience, your CV will show experience developing novel algorithms in a related area of signal processing (communications, network traffic analysis or threat detection, instrumentation operating in the RF domain, etc.)

* Fluent Python or equivalent programming language skills, and a sound approach to making reliable software proofs of concept, version control, issue tracking, automated testing, etc.

* Familiarity with producing journal-quality papers, collaborating with stakeholders, and presenting your work.

Some opportunities for hybrid work are likely, alongside time spent at the organisation’s central London research offices.

Another top job from ECM, the high-tech recruitment experts.

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27646) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

Reference: 225292085

https://jobs.careeraddict.com/post/113461642
CV-Library

RF Data Scientist / Researcher

CV-Library

Posted on Jun 25, 2026 by CV-Library

Print
London, United Kingdom
Engineering
Immediate Start
£45k - £50k Annual
Full-Time
Applying modern AI techniques to the RF signals domain

This research position has a three year term, working with sensor data in the RF signals domain, surveying, developing and applying modern techniques, including the use of AI. The recognition, identification, localisation and manipulation of relevant signals are topics of interest.

You will have:

* A PhD, or equivalent commercial experience, in a field making good use of techniques from physics, electronics, statistics, numerical methods or software engineering.

* British nationality and eligibility for UK security clearance.

* Either practical experience applying machine learning to real-world problems, or experience developing relevant algorithms in RF signals – or a combination.

* If you do not have RF signals experience, your CV will show experience developing novel algorithms in a related area of signal processing (communications, network traffic analysis or threat detection, instrumentation operating in the RF domain, etc.)

* Fluent Python or equivalent programming language skills, and a sound approach to making reliable software proofs of concept, version control, issue tracking, automated testing, etc.

* Familiarity with producing journal-quality papers, collaborating with stakeholders, and presenting your work.

Some opportunities for hybrid work are likely, alongside time spent at the organisation’s central London research offices.

Another top job from ECM, the high-tech recruitment experts.

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27646) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate
Print

Reference: 225292085

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