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For Companies At a Glance
- Tasks: Build and train cutting-edge audio and multimodal models for real-time applications.
- Company: Rapidly growing AI startup focused on innovative voice systems.
- Benefits: Competitive salary, equity, and comprehensive benefits package.
- Why this job: Join a highly technical team and make an impact in the AI industry.
- Qualifications: MSc/PhD in ML or AI with 3-5 years of deep learning experience.
- Other info: Exciting growth opportunities as the company scales internationally.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Senior Machine Learning Engineer to work on advanced speech and audio models at a rapidly growing AI startup. This permanent role offers a competitive salary plus meaningful equity in a high-growth, early-stage company. The team is developing next-generation voice systems designed for real-time, high-performance applications across global users.
What You’ll Do
- Build and train state-of-the-art audio and multimodal models
- Create and manage large, complex datasets
- Take models from research to production
- Explore innovative approaches in speech and audio ML
Must-Have
- MSc/PhD in ML, AI, or related field
- 3-5 years experience training deep learning models
- Experience in audio, speech, or multimodal domains
- Research exposure in industry or academia
Location: London (on-site)
Package: Competitive salary + equity + benefits
Join a highly technical team with strong growth opportunities as the company scales internationally.
Machine Learning Engineer employer: erg group
Contact Detail:
erg group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to audio and speech models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge and coding skills. Practice common ML problems and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, especially in audio and speech domains. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working with advanced speech and audio models. Let us know what excites you about our mission and how you can contribute to our team.
Showcase Your Projects: If you've worked on any cool projects related to deep learning or audio processing, make sure to mention them! We love seeing practical applications of your skills, so include links to your GitHub or any relevant portfolios.
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at erg group
✨Know Your Models Inside Out
Make sure you can discuss the audio and multimodal models you've worked on in detail. Be prepared to explain your approach to building and training these models, as well as any challenges you faced and how you overcame them.
✨Showcase Your Dataset Management Skills
Since managing large, complex datasets is key for this role, come ready to talk about your experience with data collection, cleaning, and preprocessing. Highlight any tools or techniques you’ve used to handle datasets effectively.
✨Demonstrate Your Research Experience
Whether from academia or industry, be ready to share insights from your research. Discuss how your findings can apply to real-world applications, especially in speech and audio ML, to show your ability to bridge theory and practice.
✨Be Innovative and Curious
This role requires exploring innovative approaches, so think of a few ideas or trends in speech and audio ML that excite you. Bring these up during the interview to demonstrate your passion and forward-thinking mindset.