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- Tasks: Join us as a Signal Processing Engineer, analysing signals and developing cutting-edge algorithms.
- Company: Be part of a dynamic team in a leading water and wastewater monitoring company.
- Benefits: Enjoy hybrid working options and competitive pay of up to £50 per hour.
- Why this job: Work on innovative projects that impact real-world systems and collaborate with AI experts.
- Qualifications: A background in signal processing or algorithms development is essential.
- Other info: Remote interviews are happening soon, so don't miss your chance to apply!
Location: Windes (Hybrid working)
Rate: Up to £50 p/h
Yoh are continuing to service a scaling client of ours based in Windes who are looking to employ a Signal processing engineer or algorithms developer to come in and work on multiple work packages within the business. Our client has their own proprietary software working within real-time monitoring systems within the water and wastewater industry. They have a hardware function as well as a data science/AI department where this position will sit between working with the large amounts of data collected. They are located in Widnes, on the outskirts of Liverpool, and would look for hybrid and remote working but with some office attendance required, mainly to work with the hardware and with Edge computers.
Some of the requirements and responsibilities within the position:
- Analyse real-world signals to understand their characteristics
- Develop filters (e.g., FIR, IIR), transforms (e.g., FFT), and modulation/demodulation schemes for optimising algorithms.
- A lot of the work will be comprised of noise reduction, compression, filtering and wavelets.
The are looking to hold remote interviews in the coming days/week with work packages signed off and ready to be handed over. Additionally, there is a wider scope to work alongside the AI and data science team to help in the development of their state-of-the-art machine learning models.
Signal Processing Engineer employer: Yoh, A Day & Zimmermann Company
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 specific signal processing techniques mentioned in the job description, such as FIR and IIR filters, FFT transforms, and noise reduction methods. Being able to discuss these topics confidently during your interview will show that you have the technical knowledge required for the role.
✨Tip Number 2
Research the company’s proprietary software and its applications in real-time monitoring systems. Understanding how your role as a Signal Processing Engineer fits into their overall operations will help you articulate your value during discussions.
✨Tip Number 3
Prepare examples from your past experience where you've successfully developed algorithms or worked with large datasets. Be ready to explain your thought process and the impact of your work, as this will demonstrate your practical skills and problem-solving abilities.
✨Tip Number 4
Since the role involves collaboration with the AI and data science team, brush up on your knowledge of machine learning concepts. Showing an understanding of how signal processing integrates with AI can set you apart from other candidates.
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 and algorithms development. Include specific projects or roles where you've worked with filters, transforms, or noise reduction techniques.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with real-time monitoring systems and how your skills align with their needs, particularly in the water and wastewater industry.
Showcase Technical Skills: Clearly outline your technical skills related to signal processing, such as your experience with FIR/IIR filters, FFT, and machine learning. Use examples to demonstrate your proficiency and problem-solving abilities.
Prepare for Interviews: Anticipate questions about your previous work with data analysis and algorithm optimisation. Be ready to discuss specific challenges you've faced and how you approached them, especially in relation to collaboration with AI and data science teams.
How to prepare for a job interview at Yoh, A Day & Zimmermann Company
✨Know Your Signal Processing Fundamentals
Brush up on your knowledge of signal processing concepts, especially filters like FIR and IIR, as well as transforms such as FFT. Be prepared to discuss how you've applied these in past projects or how you would approach specific problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in noise reduction, compression, and filtering. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your analytical thinking.
✨Familiarise Yourself with Their Technology
Research the company's proprietary software and any relevant technologies they use in real-time monitoring systems. Being able to discuss their tools and how you can contribute will show your genuine interest in the role.
✨Highlight Collaboration Experience
Since the role involves working with both hardware and the AI/data science team, be ready to share experiences where you've successfully collaborated across disciplines. Emphasise your communication skills and adaptability in team settings.
