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 intelligent signal processing.
- Benefits: Competitive salary, potential for hybrid work, and opportunities for leadership development.
- Why this job: Shape the future of RF sensing while collaborating with top engineers in a dynamic environment.
- Qualifications: Strong Python skills and experience with SDR platforms and digital signal processing techniques required.
- Other info: Must be eligible for SC Clearance due to the nature of the work.
The predicted salary is between 52000 - 78000 £ per year.
Job Description
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 applications@redtech-recruit.com (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
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 your understanding of wireless protocols and physical-layer signal structures during interviews. Being able to articulate how these concepts apply to real-world scenarios will demonstrate your expertise and readiness for the role.
We think you need these skills to ace RF Data Scientist / Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python skills and experience with digital signal processing techniques. Include specific projects or roles where you've worked with SDR platforms and RF hardware chains.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in RF signal processing and machine learning aligns with their innovative projects. Be sure to include any relevant achievements that demonstrate your capabilities.
Showcase Relevant Projects: If you have online repositories or portfolios, include links in your application. Highlight projects that involve RF data analysis, signal processing, or machine learning to give them a clear picture of your skills.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail.
How to prepare for a job interview at RedTech Recruitment
✨Showcase Your Python Skills
Make sure to highlight your strong Python skills during the interview. Be prepared to discuss specific libraries like NumPy, SciPy, and PyTorch, and provide examples of how you've used them in data analysis or prototyping.
✨Demonstrate Your DSP Knowledge
Since the role requires an excellent understanding of digital signal processing techniques, be ready to explain concepts like FFTs, modulation, and filtering. You might even be asked to solve a problem on the spot, so brush up on these topics.
✨Discuss Your Hands-On Experience
Talk about your practical experience with SDR platforms such as bladeRF or USRP. Share specific projects where you built RF signal characterisation tools or worked with RF hardware chains, as this will show your hands-on capability.
✨Prepare for Technical Questions
Expect technical questions related to wireless protocols and physical-layer signal structures. Familiarise yourself with Wi-Fi, LTE, and LoRa, and be ready to discuss how these technologies relate to the role you're applying for.