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- Tasks: Design and develop innovative software for audio processing and machine learning.
- Company: Stealth, high-growth startup with top-tier investors and a strong founding team.
- Benefits: Competitive salary, meaningful equity, and the chance to shape core technology.
- Why this job: Join early and make a real impact on cutting-edge audio systems and ML applications.
- Qualifications: Strong software engineering skills and experience with audio data processing.
- Other info: Dynamic environment with significant career growth and technical challenges.
The predicted salary is between 36000 - 60000 £ per year.
Location: Flexible | Stealth, VC-Backed | Competitive Salary + Meaningful Equity
We’re partnered with a stealth, high-growth startup backed by top-tier investors and led by founders with a strong track record of building and scaling successful technology companies. They’re developing a technically ambitious product at the intersection of intelligent software and hardware — with enormous commercial potential.
They’re now looking for a Software Engineer with strong experience working with audio data to join early and play a key role in shaping the core technology.
The Role:
You’ll be building systems that process, analyse, and extract value from complex audio data, working closely with a small, highly capable team across software and hardware. This is a hands‑on engineering role with real ownership and influence over architecture and technical direction.
What You’ll Be Doing:
- Designing and developing software for audio processing and analysis
- Building scalable data pipelines and backend systems
- Working closely with electronics / hardware components where relevant
- Integrating and deploying ML models into production environments
- Contributing to system architecture and performance optimisation
What They’re Looking For:
- Strong software engineering fundamentals (language not important — Python, C++, Rust, Go, etc.)
- Proven experience working with audio data (e.g. signal processing, streaming, speech, enhancement, classification)
- Experience working in environments connected to electronics or hardware (desirable)
- Solid understanding of scalable system design
- Experience applying machine learning in real-world systems
- Exposure to LLMs or modern ML frameworks is a strong plus
Why Join?
- Stealth company with serious funding and ambitious technical vision
- Founders with previous successes and a history of execution
- Early-stage equity with substantial upside
- Opportunity to build technically challenging systems from the ground up
If you’re excited by complex audio systems, applied ML, and the opportunity to join something early with significant upside, this is worth a conversation.
Software Engineer | Audio & AI in London employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer | Audio & AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the audio and AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to audio processing or machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding audio data concepts. Practice common algorithms and system design questions, especially those related to scalable systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Software Engineer | Audio & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with audio data and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit. We love seeing genuine enthusiasm for audio systems and applied ML.
Showcase Your Projects: If you’ve worked on any cool projects related to audio processing or machine learning, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Audio Data
Make sure you brush up on your knowledge of audio data processing and analysis. Be ready to discuss your previous experiences with signal processing, streaming, or any relevant projects you've worked on. This will show that you understand the core of what the role entails.
✨Showcase Your Coding Skills
Even though the specific programming language isn't crucial, be prepared to demonstrate your software engineering fundamentals. Bring examples of your work in Python, C++, or any other languages you've used. Practising coding challenges related to audio systems can also give you an edge.
✨Understand the Hardware Connection
Since this role involves working closely with hardware components, it’s beneficial to have a grasp of how software interacts with electronics. Brush up on any relevant experience you have and be ready to discuss how you’ve integrated software with hardware in past projects.
✨Familiarise Yourself with ML Applications
Given the emphasis on machine learning, make sure you’re well-versed in how ML models are deployed in production environments. Be prepared to talk about any experience you have with modern ML frameworks or LLMs, as this could set you apart from other candidates.
