At a Glance
- Tasks: Conduct research on deep learning audio and evaluate AI models.
- Company: Leading voice technology company at the forefront of innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with real-world impact and a collaborative work environment.
- Why this job: Join a pioneering team and shape the future of voice technology.
- Qualifications: PhD or MSc in relevant fields and experience in audio machine learning.
The predicted salary is between 63000 - 77000 £ per year.
- Paddington, United Kingdom | Posted on 06/08/2026
- Hybrid working from home and Central London
Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies.
- As part of their audio technology research team, you'll be responsible for:
- Carrying out research on deep learning audio
- Evaluating and testing AI and ML models
- Implementing and training models
- Model research, implementation, training, evaluation and inference
- Writing reports and research papers
With several products already on the market and thousands of users, this is a great time to join a company at the forefront of voice isolation and speech separation.
Hybrid working pattern with 2-3 days a week in their Central London R&D centre.
Requirements
- Ph D or MSc in AI, Machine Learning, Computer Science, Maths or similar
- Experience in speech separation or stem separation
- Strong background in real-time audio machine learning research
- Detailed knowledge of machine learning and deep learning concepts
- Real-time audio signal processing / real-time machine learning
- #J-18808-Ljbffr
Machine Learning Researcher - Audio in City of Westminster employer: The Audio Programmer Ltd
Join a dynamic audio AI software company that values innovation and collaboration, offering a vibrant work culture where your expertise as an Engineering Product Manager will be pivotal in shaping the future of audio technology. With a strong focus on employee growth, we provide ample opportunities for professional development and encourage a supportive environment that fosters creativity and teamwork. Located in a thriving tech hub, you'll enjoy the unique advantage of being part of a rapidly growing industry while working alongside passionate professionals dedicated to pushing the boundaries of audio software.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Audio in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Audio Programmer Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Researcher - Audio at The Audio Programmer Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Audio Programmer Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Researcher - Audio at The Audio Programmer Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Researcher - Audio in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Audio Programmer Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Audio Programmer Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Audio Programmer Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Audio Programmer Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
