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- Tasks: Develop and optimise machine learning models while mentoring fellow engineers.
- Company: Leading Speech AI company based in Cambridge with a focus on innovation.
- Benefits: Comprehensive benefits including private medical, generous holidays, and hybrid work flexibility.
- Other info: Flexible work environment with opportunities for professional growth.
- Why this job: Join a pioneering team and make a significant impact in the Speech AI field.
- Qualifications: Deep expertise in machine learning, Python, and experience with scalable model deployment.
The predicted salary is between 70000 - 90000 £ per year.
A leading Speech AI company in Cambridge is looking for a Principal Machine Learning Engineer. You will develop and optimize machine learning models, integrating advanced techniques and mentoring engineers.
The ideal candidate has deep expertise in machine learning stacks, Python, and experience in deploying scalable models.
This role supports hybrid work, allowing flexibility between remote and office settings, and offers comprehensive benefits including private medical and generous holidays.
Principal ML Engineer – Global Speech AI, Hybrid & Flexible in Cambridge employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML Engineer – Global Speech AI, Hybrid & Flexible in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the Speech AI field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving scalable models. This gives us a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML stacks. We love seeing candidates who can talk through their thought process and problem-solving strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Principal ML Engineer – Global Speech AI, Hybrid & Flexible in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning stacks and Python. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Customise your CV and cover letter for this specific role. Mention how your background in developing and optimising machine learning models makes you a perfect fit for our team at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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!
How to prepare for a job interview at Speechmatics
✨Know Your ML Models Inside Out
Make sure you brush up on your knowledge of machine learning models, especially those relevant to speech AI. Be ready to discuss your experience with different stacks and how you've optimised models in the past. This will show that you’re not just familiar with the theory but have practical insights to share.
✨Showcase Your Python Skills
Since Python is a key part of the role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in deploying scalable models. Think about past experiences where you faced obstacles and how you overcame them. This will highlight your problem-solving abilities and your approach to mentoring others.
✨Embrace the Hybrid Work Culture
Since the role supports hybrid work, be prepared to discuss how you manage your time and productivity in both remote and office settings. Share examples of how you’ve successfully collaborated with teams in different environments, as this shows you can adapt to their flexible work culture.