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- Tasks: Lead the development of innovative speech solutions and mentor engineering teams.
- Company: A top provider of cutting-edge speech technology with a focus on innovation.
- Benefits: Hybrid working model, inclusive workplace, and opportunities for professional growth.
- Other info: Diverse environment that values technical excellence and innovation.
- Why this job: Join a team at the forefront of speech technology and make a real impact.
- Qualifications: Strong knowledge of ML frameworks and experience in deploying models at scale.
The predicted salary is between 70000 - 90000 £ per year.
A leading provider of speech technology is seeking a Principal Machine Learning Engineer to lead the development of cutting-edge speech solutions. The role focuses on developing and deploying advanced ML models, mentoring engineering teams, and defining the technical vision for their ML stack.
Candidates should have a strong understanding of modern ML frameworks, proven experience in deploying models at scale, and a commitment to innovation and technical excellence.
The position features a hybrid working model and a diverse, inclusive workplace.
Senior ML Engineer, Speech AI & Scalable Deployment employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Speech AI & Scalable Deployment
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to speech technology. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll likely need to mentor others and communicate your vision effectively.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior ML Engineer, Speech AI & Scalable Deployment
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with modern ML frameworks and any projects where you've deployed models at scale. We want to see how your skills align with our cutting-edge speech solutions!
Be Authentic: Let your personality shine through in your application! We value innovation and technical excellence, so don’t be afraid to share your unique approach to problem-solving and how you’ve contributed to previous teams.
Tailor Your Application: Make sure to customise your application for the Senior ML Engineer role. Reference specific aspects of the job description, like mentoring engineering teams or defining technical vision, to show us you’re a perfect fit for our diverse and inclusive workplace.
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 in our hybrid working model!
How to prepare for a job interview at Speechmatics
✨Know Your ML Frameworks
Make sure you brush up on the modern ML frameworks relevant to the role. Be prepared to discuss your experience with them in detail, including any challenges you've faced and how you overcame them.
✨Showcase Your Deployment Experience
Since the role involves deploying models at scale, come ready to share specific examples of your past deployment projects. Highlight the tools and techniques you used, and be ready to discuss the impact of your work.
✨Emphasise Mentorship Skills
As a Principal Engineer, mentoring is key. Think of instances where you've guided teams or individuals. Be prepared to talk about your approach to mentorship and how it has contributed to team success.
✨Define Your Technical Vision
The company is looking for someone to define the technical vision for their ML stack. Reflect on your ideas for innovation in speech technology and be ready to articulate your vision during the interview.