via Indeed · 9 September 2026 ·11 days ago

Data Scientist - RF Embedded Algorithms

Kirintec Limited
Malvern Full-time
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FROM £70,000 PER ANNUM

DEPENDING ON SKILLS AND EXPERIENCE

GREAT MALVERN

PERMANENT

About us

Kirintec specialise in the design and production of Innovative technology solutions for CEMA (Cyber and Electromagnetic Activities), Counter\-IED and Counter\-UAS. We engineer and deliver battle proven capabilities across the world.

Kirintec is owned by BAE Systems, who provides some of the world’s most advanced, technology\-led defence, aerospace and security solutions and employs a skilled workforce of more than 93,000 people in around 40 countries.

About the role

For most of the concepts that we develop, the journey begins with creating a python simulation (or similar) to understand the proposed technique/algorithm. The concept is then matured to use real data with SDRs or from our own hardware. Finally, the technique is fully ported to our hardware, typically in OpenCPI (C\+\+ and VHDL).

For this role we are looking for a specialist in Machine Learning to assist in the above with main emphasis at the earlier stage. We are looking for the principal skillset in ML and secondary skillsets in DSP and algorithms.

The primary duty will be to develop machine learning techniques for embedded Radio Frequency (RF) platforms and desktop systems used in Electronic Warfare. On a day\-to\-day basis the role will include developing offline with the usual libraries (e.g. tensorflow), then using techniques such as quantisation to show that it can run on target hardware.

Duties will include;

  • Delivery of concept demonstrators up to field trial level

  • Help identifying new techniques that can advance the product

  • Provide expertise in the area of ML and algorithms to the company

  • Any other reasonable duties required to support the company in meeting its objectives

  • Working to Kirintec’s ISO standards
About you

You will be able to;

  • Demonstrate best practices around training and deploying ML models

  • Showcase demonstrable history of using ML/algorithms/statistical techniques to solve real world problems (ideally on FPGA or embedded processors)

  • Prove practical experience of DSP in RF comms domain (or similar domain)

  • Demonstrate expert knowledge in python and libraries such as numpy, pytorch/tensorflow

  • Show knowledge of key software development tools e.g. Git, Docker, Jenkins

  • Prove experience with software\-defined radio (SDR) systems
What we Offer
  • 25 days annual leave entitlement, rising with length of service.

  • Training and development opportunities.

  • Flexible working opportunities.

  • Medical Care Package upon successful completion of your probation period.

  • Company events

  • Annual Bonus scheme and annual salary reviews

  • Casual dress
Closing Date: 13th September 2026 and interviews will take place w/c 21st September 2026

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

At Kirintec Ltd, we welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition that may affect your performance in certain recruitment processes, please speak to your recruiter about potential reasonable adjustments.

Please be aware that many roles at Kirintec Ltd are subject to security and vetting restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have a minimum of 5\-year continuous residency in the UK, to allow for meaningful security vetting checks.

Pay: From £70,000\.00 per year

Benefits:

  • Casual dress

  • Free parking

  • On\-site parking

  • Private medical insurance
Work Location: In person

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