Data Scientist - RF Embedded Algorithms

Kirintec Limited; Malvern; On-site; GBP 63,000 - 77,000; Full time

Benefits offered by this job

25 days leave

Training opportunities

Flexible working

Medical care package

Company events

Annual bonus

Salary reviews

Casual dress

Free parking

On-site parking

Private medical insurance

Job summary

Kirintec Limited in Great Malvern is seeking a skilled ML specialist to work on embedded RF platforms and EW applications. You will train, optimise, and deploy ML models for hardware targets such as FPGA and embedded processors, and collaborate across teams to deliver robust solutions.

You will apply offline training, model quantisation, and standard libraries like TensorFlow, PyTorch, and NumPy, ensuring practical, field-ready outcomes while aligning with ISO standards.

Qualifications

• Specialist in ML with DSP and algorithms
• Demonstrate best practices for training and deploying ML models
• History of using ML/algorithms/statistical techniques to solve real-world problems
• Experience with FPGA or embedded processors preferred
• Practical experience with DSP in RF comms or similar domain
• Expert knowledge of Python and libraries such as NumPy, PyTorch, TensorFlow
• Knowledge of Git, Docker, Jenkins
• Experience with SDR systems

Responsibilities

• Develop ML techniques for embedded RF platforms and desktop systems used in Electronic Warfare
• Develop offline using standard libraries such as TensorFlow and use quantisation for target hardware compatibility
• Deliver concept demonstrators up to field trial level
• Identify new techniques to advance the product
• Provide ML and algorithms expertise to the company
• Carry out other duties to support company objectives
• Work to ISO standards

Skills

ML

DSP

Algorithms

Python

TensorFlow

PyTorch

Git

Docker

Jenkins

Embedded

FPGA

VHDL

SDR

Tools

Docker

Git

Jenkins

TensorFlow

PyTorch

NumPy

Python

VHDL

Job description

Salary: £70,000 - 70,000 per year

Requirements

• We are looking for a specialist in Machine Learning, with the principal skillset in ML and secondary skillsets in DSP and algorithms.
• You will demonstrate best practices around training and deploying ML models.
• You will have a demonstrable history of using ML, algorithms, or statistical techniques to solve real-world problems, ideally on FPGA or embedded processors.
• You will have practical experience of DSP in an RF comms domain or a similar domain.
• You will have expert knowledge of Python and libraries such as NumPy, PyTorch, and TensorFlow.
• You will have knowledge of key software development tools such as Git, Docker, and Jenkins.
• You will have experience with software-defined radio (SDR) systems.

Responsibilities

• We will use your expertise to develop machine learning techniques for embedded RF platforms and desktop systems used in Electronic Warfare.
• We will expect you to develop offline using standard libraries such as TensorFlow, then use techniques such as quantisation to show the solution can run on target hardware.
• You will help deliver concept demonstrators up to field trial level.
• You will help identify new techniques that can advance the product.
• You will provide expertise in the area of ML and algorithms to the company.
• You will carry out any other reasonable duties required to support the company in meeting its objectives.
• You will work to our ISO standards.

Technologies

• Docker
• Embedded
• FPGA
• Git
• Hardware
• Support
• Jenkins
• Machine Learning
• PyTorch
• Python
• Security
• TensorFlow
• numpy
• VHDL

More

We specialise in the design and production of innovative technology solutions for CEMA (Cyber and Electromagnetic Activities), Counter-IED and Counter-UAS, and we engineer and deliver battle-proven capabilities across the world. We are owned by BAE Systems, which provides advanced, technology-led defence, aerospace and security solutions and employs a skilled workforce of more than 93,000 people in around 40 countries. This is a permanent role based in Great Malvern, offering a salary from £70,000 per annum depending on skills and experience, along with benefits including:

• 25 days annual leave rising with length of service
• training and development opportunities
• flexible working opportunities
• a medical care package after probation
• company events
• an annual bonus scheme
• annual salary reviews
• casual dress
• free parking
• on-site parking
• private medical insurance.