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 working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make an impact in cutting-edge ML technology and shape the future of TTS solutions.
- Qualifications: 5+ years in software development, 2+ years in machine learning, and expertise in FastSpeech and AWS.
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 employer: Edge Tech
Edge Tech is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing technology in the UK. With a strong emphasis on employee growth, you will have ample opportunities to mentor junior engineers and lead cutting-edge projects in real-time text-to-speech solutions. The company also offers competitive benefits and a supportive environment that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Real-Time TTS & SaaS Platform Lead
✨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 recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind.
We think you need these skills to ace Senior ML Engineer - Real-Time TTS & SaaS Platform Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software development and machine learning. We want to see how your skills with FastSpeech, AWS, and Python align with the role, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about real-time TTS solutions and how you can lead our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've applied your ML skills in real-world scenarios.
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 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 challenges you faced and how you guided others through them.
✨Prepare for Technical Questions
Expect to dive deep into machine learning concepts and algorithms. Review common ML interview questions and be ready to explain your thought process when solving problems, especially those related to text-to-speech solutions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Edge Tech’s current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
