RF Data Scientist Research Engineer

Hertfordshire - UK

Monthly Salary: Not Disclosed

Posted on: 08-11-2025

Vacancies: 1 Vacancy

Job Summary

An exciting opportunity for an RF-focused Data Scientist / Research Engineer to join a stealth-mode start-up developing novel UAV/detection systems. This role offers the chance to work at the cutting edge of RF hardware software-defined radio and intelligent signal processing helping shape the next generation of real-world RF sensing systems.

This company is tackling some of the worlds most pressing challenges founded by a team of exceptional Engineers who have already realised success with other ventures. The environment is one of deep tech innovation and collaborative problem solving.

Location: Saffron Walden UK primarily on-site due to the hands-on nature of the work (some hybrid flexibility may be considered depending on the individual and stage of development)

Salary: Market competitive. The hiring manager prefers to keep this open to understand candidates expectations in relation to their individual experience. They believe this avoids setting a base or ceiling that could deter strong applicants.

Requirements for RF Data Scientist / Research Engineer

Strong Python skills for data analysis and prototyping (e.g. NumPy SciPy matplotlib PyTorch scikit-learn)
Excellent understanding of digital signal processing techniques including FFTs resampling modulation and filtering
Hands-on experience working with SDR platforms such as bladeRF USRP HackRF or similar
Practical knowledge of RF hardware chains (e.g. antennas ADCs filters mixers gain stages LO AGC) and how these impact signal data
Experience building RF signal characterisation and diagnostics tools e.g. constellation tracking time-frequency plots autocorrelation analysis
Familiarity with tools such as GNU Radio SDRangel SoapySDR ZMQ
Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi LTE LoRa)
Ability to design machine learning or statistical models for signal classification anomaly detection or emitter identification
MUST be eligible for SC Clearance due to the nature of the work

Responsibilities for RF Data Scientist / Research Engineer

Analyse complex IQ data from SDR hardware in real-world RF environments
Build signal processing pipelines that work within hardware and software constraints
Develop tools to visualise and diagnose signal behaviour and system performance
Prototype real-time and batch-processing architectures using Python and signal processing libraries
Lead field-based data collection and over-the-air experiments using drones and wireless devices
Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions
Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes

What this offers:

An opportunity to shape an innovative product at the interface of RF and ML
Work with an exceptional technical team in an early-stage R&D environment
Deep technical variety across software-defined radio machine learning and signal intelligence
Competitive package and future leadership potential

Applications:

If you would like to enquire about this unique RF Data Scientist / Research Engineer opportunity we would love to hear from you. Please send an up-to-date CV including details of any online repositories via the relevant link.

Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process please highlight this by separately emailing (if this email address has been removed by the job-board full contact details are readily available on our website).

RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia and entering industry. Even if the above role isnt of interest please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race religion colour national origin gender sexual orientation age marital status veteran status or disability status.

Keywords: RF Data Scientist / Research Engineer / RF Signal Processing / SDR Engineer / IQ Data Analysis / Software Defined Radio / bladeRF / USRP / HackRF / GNU Radio / RF DSP / Wireless Signal Intelligence / Digital Signal Processing Engineer / RF Python Developer / Python Signal Processing / RF Classification / Electromagnetic Signal Analysis / Wireless Spectrum Monitoring / Signal Intelligence / Drone Detection Systems / RF Machine Learning / RF System Modelling / RF Detection Engineer

Location: Saffron Walden UK primarily on-site due to the hands-on nature of the work (some hybrid flexibility may be considered depending on the individual and stage of development)

Requirements for RF Data Scientist / Research Engineer

Strong Python skills for data analysis and prototyping (e.g. NumPy SciPy matplotlib PyTorch scikit-learn)
Excellent understanding of digital signal processing techniques including FFTs resampling modulation and filtering
Hands-on experience working with SDR platforms such as bladeRF USRP HackRF or similar
Practical knowledge of RF hardware chains (e.g. antennas ADCs filters mixers gain stages LO AGC) and how these impact signal data
Experience building RF signal characterisation and diagnostics tools e.g. constellation tracking time-frequency plots autocorrelation analysis
Familiarity with tools such as GNU Radio SDRangel SoapySDR ZMQ
Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi LTE LoRa)
Ability to design machine learning or statistical models for signal classification anomaly detection or emitter identification
MUST be eligible for SC Clearance due to the nature of the work

Responsibilities for RF Data Scientist / Research Engineer

Analyse complex IQ data from SDR hardware in real-world RF environments
Build signal processing pipelines that work within hardware and software constraints
Develop tools to visualise and diagnose signal behaviour and system performance
Prototype real-time and batch-processing architectures using Python and signal processing libraries
Lead field-based data collection and over-the-air experiments using drones and wireless devices
Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions
Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes

What this offers:

An opportunity to shape an innovative product at the interface of RF and ML
Work with an exceptional technical team in an early-stage R&D environment
Deep technical variety across software-defined radio machine learning and signal intelligence
Competitive package and future leadership potential

Applications: