At a Glance
- Tasks: Lead the development of real-time text-to-speech solutions and mentor junior engineers.
- Company: Join Edge Tech, a high-performing tech team in the UK.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make an impact in cutting-edge machine learning and voice technology.
- Qualifications: 5+ years in software development and 2+ years in machine learning required.
The predicted salary is between 60000 - 84000 £ per year.
Edge Tech is looking for a Senior Machine Learning Engineer to join their high-performing tech team in the UK. This role focuses on building and enhancing text-to-speech solutions in real-time systems. With over 5 years of experience in software development and 2 years in machine learning, you'll lead the productisation of ML models and mentor junior engineers. Your expertise in technologies like FastSpeech, AWS, and Python will be key to your success.
Senior ML Engineer - Real-Time TTS & SaaS Platform Lead in London employer: Edge Tech
Edge Tech is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Machine Learning Engineers to thrive. With a strong emphasis on employee growth, you will have access to mentorship opportunities and cutting-edge projects in the vibrant tech landscape of the UK. Join us to be part of a forward-thinking team that values creativity and offers a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Real-Time TTS & SaaS Platform Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with real-time TTS solutions. A friendly chat can open doors and give you insights that might just land you that Senior ML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving FastSpeech or AWS. When you apply through our website, include links to your work so we can see your expertise in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning concepts. We love seeing candidates who can not only talk the talk but also walk the walk when it comes to coding challenges.
✨Tip Number 4
Don’t forget to ask questions during interviews! Show us your curiosity about our tech stack and how you can contribute to enhancing our TTS solutions. It’s a great way to demonstrate your passion for the role.
We think you need these skills to ace Senior ML Engineer - Real-Time TTS & SaaS Platform Lead in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5+ years in software development and 2+ years in machine learning. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects!
Get Technical:Since this role involves real-time TTS solutions, mention your experience with technologies like FastSpeech, AWS, and Python. We love seeing specific examples of how you've used these tools in your previous work.
Mentorship Matters:As you'll be mentoring junior engineers, share any past experiences where you’ve guided others. We value teamwork and leadership, so let us know how you can contribute to our high-performing tech team!
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. Don’t miss out!
How to prepare for a job interview at Edge Tech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like FastSpeech, AWS, and Python. Brush up on your knowledge of real-time systems and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, prepare examples of how you've successfully led teams or projects. Think about specific instances where your guidance made a difference and be ready to share those stories.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of machine learning concepts and real-time text-to-speech solutions. Practice explaining complex ideas clearly and concisely, as if you were teaching someone else.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s approach to ML and TTS solutions. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
