RF Data Scientist / Research Engineer
RF Data Scientist / Research Engineer

RF Data Scientist / Research Engineer

Full-Time 46800 - 78000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team to analyse RF data and develop innovative UAV detection systems.
  • Company: A stealth-mode start-up focused on cutting-edge RF technology and signal processing.
  • Benefits: Competitive salary, potential for hybrid work, and opportunities for leadership.
  • Why this job: Shape the future of RF sensing with a talented team in a collaborative environment.
  • Qualifications: Strong Python skills and experience with SDR platforms and digital signal processing required.
  • Other info: Must be eligible for SC Clearance; inclusive recruitment process.

The predicted salary is between 46800 - 78000 £ per year.

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 world’s 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: Up to £65,000 per annum (may be more for an exceptional candidate)

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.

We’re 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 isn’t 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

RF Data Scientist / Research Engineer employer: RedTech Recruitment

Join a pioneering stealth-mode start-up in Saffron Walden, where innovation meets collaboration in the development of cutting-edge UAV and detection systems. As an RF Data Scientist / Research Engineer, you'll work alongside a team of exceptional engineers, enjoying a dynamic work culture that fosters deep tech innovation and offers significant opportunities for personal and professional growth. With a competitive salary and the chance to shape the future of RF sensing technology, this role is perfect for those seeking meaningful and rewarding employment in a hands-on environment.
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Contact Detail:

RedTech Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land RF Data Scientist / Research Engineer

✨Tip Number 1

Familiarise yourself with the specific RF hardware and software tools mentioned in the job description, such as bladeRF, USRP, and GNU Radio. Having hands-on experience or even personal projects using these tools can set you apart from other candidates.

✨Tip Number 2

Engage with online communities or forums related to RF signal processing and software-defined radio. Networking with professionals in these spaces can provide insights into the latest trends and may even lead to referrals for the position.

✨Tip Number 3

Consider creating a portfolio that showcases your projects involving Python and RF data analysis. Demonstrating your ability to build signal processing pipelines or visualisation tools can significantly enhance your candidacy.

✨Tip Number 4

Prepare to discuss real-world applications of your skills during interviews. Be ready to explain how you've tackled challenges in RF environments or how you've used machine learning for signal classification, as this will resonate well with the company's innovative focus.

We think you need these skills to ace RF Data Scientist / Research Engineer

Strong Python skills
Data analysis and prototyping with NumPy, SciPy, matplotlib, PyTorch, scikit-learn
Digital signal processing techniques (FFTs, resampling, modulation, filtering)
Hands-on experience with SDR platforms (bladeRF, USRP, HackRF)
Practical knowledge of RF hardware chains (antennas, ADCs, filters, mixers, gain stages, LO, AGC)
Experience building RF signal characterisation and diagnostics tools
Familiarity with GNU Radio, SDRangel, SoapySDR, ZMQ
Understanding of wireless protocols and physical-layer signal structures (Wi-Fi, LTE, LoRa)
Ability to design machine learning or statistical models for signal classification, anomaly detection, or emitter identification
Experience in analysing complex IQ data from SDR hardware
Building signal processing pipelines within hardware and software constraints
Developing tools to visualise and diagnose signal behaviour and system performance
Prototyping real-time and batch-processing architectures using Python
Leading field-based data collection and over-the-air experiments
Collaborating with multidisciplinary teams

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your strong Python skills and experience with RF hardware and software-defined radio. Include specific projects or tools you've worked with, such as NumPy, SciPy, or GNU Radio, to demonstrate your expertise.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's mission. Mention how your background in digital signal processing and machine learning aligns with their needs, and provide examples of relevant projects you've completed.

Showcase Your Projects: If you have online repositories or portfolios, include links in your application. Highlight any projects related to RF signal processing, SDR platforms, or machine learning that showcase your skills and problem-solving abilities.

Highlight Collaboration Skills: Since the role involves working with a multidisciplinary team, emphasise your ability to collaborate effectively. Share experiences where you successfully worked with others to solve complex problems or develop innovative solutions.

How to prepare for a job interview at RedTech Recruitment

✨Showcase Your Python Skills

Be prepared to discuss your experience with Python, especially in data analysis and prototyping. Highlight specific libraries you've used, such as NumPy or PyTorch, and consider bringing examples of your work to demonstrate your proficiency.

✨Demonstrate Your Understanding of Signal Processing

Make sure you can explain key digital signal processing techniques clearly. Be ready to discuss concepts like FFTs, modulation, and filtering, and how they apply to real-world scenarios, particularly in RF environments.

✨Familiarity with SDR Platforms

Discuss your hands-on experience with software-defined radio platforms like bladeRF or USRP. If possible, share specific projects where you utilised these tools, as practical knowledge will be highly valued.

✨Prepare for Technical Questions

Expect technical questions related to RF hardware chains and wireless protocols. Brush up on your understanding of antennas, ADCs, and physical-layer signal structures like Wi-Fi and LTE, as these are crucial for the role.

RF Data Scientist / Research Engineer
RedTech Recruitment
R
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