National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Signal Processing Engineer

Experis UK
Southampton
9 months ago
Applications closed

Related Jobs

View all jobs

RF Data Scientist / Research Engineer

RF Data Scientist Research Engineer

Machine Learning Engineer, Amazon Studios AI Lab

Machine Learning Engineer - Wearable Health Algorithms (Basé à London)

Machine Learning Engineer, Amazon Studios AI Lab (Basé à London)

Machine Learning Engineer – Wearable Health Algorithms (Basé à London)

Job Title: Acoustics / Sonar DSP Engineer

Location: United Kingdom

Outside IR35 Contract

Rate: To be discussed

Duration: minimum 12+ months (initial 6 months)



We are looking to speak to experienced acoustic DSP engineers with prior experience within the defence space. You’ll ideally have prior SC clearance, but at the very least be asole british national. Our client is a leader within their space with offices around the UK mainly within the north and south-west of the country.


Key Responsibilities:

  • Design, develop, and implement digital signal processing algorithms for sonar systems.
  • Analyse and interpret sonar data to improve system performance and accuracy.
  • Collaborate with cross-functional teams to integrate DSP solutions into sonar hardware and software.
  • Conduct testing and validation of DSP algorithms in both lab and field environments.
  • Troubleshoot and resolve issues related to signal processing and system performance.
  • Stay updated with the latest advancements in DSP and sonar technologies.


Qualifications:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.
  • Strong background in digital signal processing, particularly in the context of sonar systems.
  • Proficiency in programming languages such as MATLAB, Python, or C/C++.
  • Experience with signal processing tools and software.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a team environment and communicate technical concepts clearly.
  • Knowledge of machine learning techniques applied to signal processing.
  • Familiarity with hardware implementation of DSP algorithms.


Security Requirements:

  • Candidates must be sole British nationals.
  • Ideally, candidates should have prior SC (Security Clearance).


Preferred Skills and Experience:

  • Experience with underwater acoustics and sonar system design.


Candidates with solid acoustic DSP engineer backgrounds will be considered for this role also. It also is worth mentioning that we work with a number of businesses within this space, and that number will only increase. If this role isn’t right we almost certainly have another for you.


Due to the nature of work that this client carries out, this role should be considered onsite, which locations will be discussed on the phone when we speak.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.