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- Tasks: Develop advanced DSP algorithms for Radar and Acoustic systems.
- Company: Join a leading UK defence prime focused on national security.
- Benefits: Enjoy flexible hybrid working and long-term contract opportunities.
- Why this job: Be at the forefront of defence technology with impactful projects.
- Qualifications: Experience in DSP, strong maths background, and proficiency in MATLAB or Python required.
- Other info: Must hold or be eligible for SC Clearance; British nationality may be necessary.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking experienced Algorithm Engineers with a strong background in Digital Signal Processing (DSP), ideally applied within Radar, Acoustics, or Signal Intelligence (SIGINT/ELINT) environments. These positions support long-term Statements of Work (SoWs) within a leading UK defence prime, contributing to critical national security and surveillance systems.
You’ll be involved in the development of advanced signal processing algorithms across Radar, Acoustic, and electromagnetic domains, supporting both surface and sub-surface detection, tracking, and classification applications.
Key Responsibilities:- Design and development of DSP algorithms for detection, tracking, classification, and extraction from Radar and Acoustic sources.
- Signal analysis and interpretation across RF, sonar, and acoustic domains.
- Modelling, simulation, and performance analysis using MATLAB, Python, or equivalent tools.
- Integration of algorithms into embedded or real-time systems.
- Close collaboration with systems, software, and hardware engineering teams.
- Preparing technical documentation and participating in engineering reviews.
- Proven experience in DSP algorithm development applied to Radar, Acoustic (including sonar or underwater acoustics), RF, or Listening systems.
- Strong foundation in Mathematics, Physics, or Engineering with DSP applications.
- Proficiency in MATLAB, Simulink, Python, or similar signal processing tools.
- Experience working in defence, aerospace, or classified environments.
- Understanding of real-time signal processing or embedded systems.
- Strong analytical thinking and problem-solving abilities.
- Experience in sensor fusion, beamforming, target tracking, or classification algorithms.
- Familiarity with C/C++, VHDL, or FPGA development for signal processing.
- Domain knowledge of underwater acoustics, passive/active sonar, or acoustic surveillance.
- Understanding of multi-domain sensing or sensor architecture.
- South West UK-based or able to attend site regularly as required.
- Must hold or be eligible for UK SC Clearance.
- Due to project sensitivity, sole British nationality may be a requirement.
- Long-term SoW (initial 12 months+) with high likelihood of extension.
- Flexible hybrid working, but some on-site presence expected depending on phase of work.
- Engagement within a technically advanced, mission-focused environment.
- Opportunity to work at the forefront of UK defence and surveillance technologies.
Algorithm Developer (England) employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Developer (England)
✨Tip Number 1
Network with professionals in the defence and aerospace sectors. Attend industry conferences, workshops, or meetups to connect with potential colleagues and employers who can provide insights into the role and possibly refer you.
✨Tip Number 2
Familiarise yourself with the latest advancements in Digital Signal Processing (DSP) relevant to Radar and Acoustics. Being well-versed in current technologies and methodologies will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by practising algorithm development problems and simulations using MATLAB or Python. This hands-on experience will demonstrate your practical skills and problem-solving abilities.
✨Tip Number 4
Research the specific projects and technologies used by the company you're applying to. Tailoring your discussions to their work will show your genuine interest and understanding of their needs.
We think you need these skills to ace Algorithm Developer (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Digital Signal Processing (DSP) and any relevant projects you've worked on, especially those related to Radar or Acoustics. Use specific examples to demonstrate your skills in algorithm development.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this role. Mention your familiarity with MATLAB, Python, and any experience in defence or classified environments. Show how your background aligns with the job requirements.
Highlight Relevant Skills: In your application, emphasise your analytical thinking and problem-solving abilities. Discuss your experience with real-time signal processing and any knowledge of sensor fusion or target tracking algorithms, as these are key aspects of the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in technical roles like this one.
How to prepare for a job interview at Experis UK
✨Showcase Your DSP Expertise
Make sure to highlight your experience in Digital Signal Processing, especially in relation to Radar and Acoustics. Be prepared to discuss specific projects where you've developed algorithms and the impact they had on the overall system.
✨Demonstrate Technical Proficiency
Familiarity with tools like MATLAB, Python, and Simulink is crucial. Bring examples of your work or be ready to explain how you've used these tools in past projects, particularly in modelling and simulation.
✨Understand the Defence Context
Since this role is within a defence environment, it’s important to show your understanding of the sector. Brush up on current trends in national security and how your skills can contribute to critical systems.
✨Prepare for Problem-Solving Scenarios
Expect technical questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex signal processing challenges, as this will demonstrate your capability to handle real-time systems.
