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- Tasks: Develop innovative speech recognition technologies and scale advanced models in the cloud.
- 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.
- Other info: Hybrid work model with excellent growth potential in a dynamic environment.
- Why this job: Join a diverse 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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the company through LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those related to speech recognition or machine learning. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common ML interview questions and coding challenges. We can even set up mock interviews with friends to get comfortable with the process.
✨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) in London
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 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, highlighting how you approached the problem and what impact your solution had.
✨Familiarise Yourself with Cloud Infrastructures
Since you'll be scaling models across cloud infrastructures, it’s crucial to understand the platforms commonly used in the industry. Brush up on your knowledge of AWS, Google Cloud, or Azure, and be prepared to discuss how you've leveraged these in past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future directions in AI research. This not only shows your interest but also helps you gauge if the company is the right fit for you.