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- Tasks: Develop innovative speech recognition technologies and scale advanced models in a collaborative environment.
- Company: Leading AI research company based in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, private medical, flexible working, and career development opportunities.
- Why this job: Join a dynamic team and tackle exciting challenges in machine learning.
- Qualifications: Strong coding skills and a passion for solving complex problems in ML.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI research company in London is seeking a Machine Learning Engineer to develop cutting-edge speech recognition technologies. You will work alongside diverse engineers, scaling advanced models across cloud infrastructures. Ideal candidates have strong coding skills and a passion for solving challenging problems in machine learning. The role offers competitive benefits including private medical, flexible working, and opportunities for career development.
Senior ML Engineer - Speech Recognition & TTS (Hybrid) employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Speech Recognition & TTS (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those related to speech recognition or machine learning. We want to see your coding prowess and problem-solving abilities in action!
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for ML Engineers, especially around speech technologies. Mock interviews with friends or using online platforms can help us nail that confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else!
We think you need these skills to ace Senior ML Engineer - Speech Recognition & TTS (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills and any relevant experience in machine learning. We want to see how you can tackle challenging problems, so don’t hold back on showcasing your projects or achievements!
Tailor Your Application: Take a moment to customise your application for the Senior ML Engineer role. Mention specific technologies or methodologies you've worked with that align with our focus on speech recognition and TTS. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key points stand out!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Speechmatics
✨Know Your Tech Inside Out
Make sure you brush up on the latest advancements in speech recognition and TTS technologies. Be ready to discuss specific algorithms, frameworks, and tools you've used in your previous projects. This shows your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenging problems you've tackled in machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and how you approach complex issues.
✨Familiarise Yourself with Cloud Infrastructures
Since the role involves scaling models across cloud infrastructures, make sure you understand the basics of cloud computing. Be ready to discuss any experience you have with platforms like AWS, Google Cloud, or Azure, and how you've leveraged them in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, team dynamics, and future goals in AI research. This not only shows your interest but also helps you gauge if the company is the right fit for you.