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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, private medical, generous holidays, and hybrid work flexibility.
- Other info: Flexible work environment with opportunities for professional growth.
- Why this job: Join a cutting-edge 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 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
✨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 tangible way to see what you can do.
✨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 seen by the right people. Plus, we love hearing from passionate candidates directly.
We think you need these skills to ace Principal ML Engineer – Global Speech AI, Hybrid & Flexible
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: Take a moment to customise your CV and cover letter for this specific role. Mention how your background fits into developing and optimising machine learning models, as well as any mentoring experience you have.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to demonstrate your expertise.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Speechmatics
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially the stacks and techniques relevant to speech AI. Be ready to discuss your past projects in detail, focusing on how you developed and optimised models.
✨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 on the spot, so practice writing clean, efficient code that showcases your expertise.
✨Mentorship Matters
As this role involves mentoring engineers, think about your leadership style and experiences. Be prepared to share examples of how you've guided others in their careers and how you can contribute to a collaborative team environment.
✨Embrace Flexibility
With the hybrid work model, be ready to discuss how you manage your time and productivity in both remote and office settings. Highlight any previous experience you have with flexible work arrangements and how it has benefited your performance.