Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our R&D team to tackle real-world signal processing challenges using Python.
- Company: A UK tech company focused on advanced sensing systems and innovation.
- Benefits: Enjoy a competitive salary, bonuses, and excellent mentorship opportunities.
- Why this job: Work in a collaborative environment with hands-on experience in applied engineering.
- Qualifications: Strong academic background in Physics, Electronics, or related fields required.
- Other info: No prior optical systems experience needed; backgrounds in wireless or audio processing are welcome.
The predicted salary is between 28000 - 44000 £ per year.
A UK technology company developing advanced sensing systems is looking for a DSP Research Engineer to join their growing R&D team.
You'll be working on real-world signal processing challenges close to product — developing detection, classification, and noise reduction algorithms in Python, and validating your work through lab experiments.
You'll need a strong academic background (MSc, PhD or equivalent) in Physics, Electronics, or a related field, with good mathematical and signal processing skills.
This is a hands-on, collaborative environment offering excellent development, mentorship, and exposure to applied engineering problems. Candidates must be able to attend the Bristol site full-time initially, with flexibility possible later.
Prior experience with optical systems is not required — backgrounds in wireless, radar, or audio signal processing are equally valued.
How to apply: Click “Apply”, send your CV, or message me directly to talk in confidence.
Yoh Solutions Ltd – Engineering recruitment specialists.
Contact Detail:
Yoh, A Day & Zimmermann Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Signal Processing Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in signal processing. This will not only help you during interviews but also show your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the industry, especially those working in DSP or related fields. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied your signal processing skills. Be ready to explain your thought process and the outcomes of your work, as this demonstrates your practical knowledge.
✨Tip Number 4
Research the company’s products and projects to understand their focus areas. Tailoring your conversation to align with their work can help you stand out and show that you're genuinely interested in contributing to their team.
We think you need these skills to ace Signal Processing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in signal processing, Python programming, and any hands-on projects you've worked on. Emphasise your academic background in Physics, Electronics, or related fields.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for signal processing and your problem-solving skills. Mention specific projects or experiences that relate to the job description, particularly in detection, classification, and noise reduction algorithms.
Highlight Collaborative Experience: Since the role is in a collaborative environment, include examples of teamwork in your application. Discuss any group projects or experiences where you contributed to solving engineering problems.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial in engineering roles.
How to prepare for a job interview at Yoh, A Day & Zimmermann Company
✨Showcase Your Technical Skills
Be prepared to discuss your experience with signal processing algorithms, especially in Python. Highlight any relevant projects or research you've worked on, and be ready to explain your approach to solving complex problems.
✨Demonstrate Your Collaborative Spirit
Since the role is in a hands-on, collaborative environment, emphasise your ability to work well in teams. Share examples of how you've successfully collaborated with others in past projects, particularly in R&D settings.
✨Prepare for Practical Questions
Expect to face practical questions or scenarios related to detection, classification, and noise reduction. Brush up on your mathematical foundations and be ready to apply them to real-world challenges during the interview.
✨Research the Company and Its Products
Familiarise yourself with the company's advanced sensing systems and their applications. Understanding their products will not only show your interest but also help you tailor your answers to align with their goals and values.
