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- Tasks: Design evaluation frameworks for cutting-edge ASR and NLP systems.
- Company: Leading AI company in Greater London with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a team making significant advancements in speech recognition technology.
- Qualifications: Master's or Ph.D. in a related field with 5+ years of experience.
- Other info: Collaborative environment with a strong emphasis on measurable outcomes.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI company in Greater London is seeking a Senior Machine Learning Engineer to enhance model evaluation for Automatic Speech Recognition and NLP systems. The role involves designing evaluation frameworks and collaborating with applied researchers to ensure improvements translate into measurable outcomes.
Candidates should possess a Master's or Ph.D. in a related field with 5+ years of experience, particularly in speech recognition and machine learning model deployment. Competitive salary and benefits offered.
Senior ML Engineer: ASR/NLP Quality & Evaluation in London employer: Cresta
Contact Detail:
Cresta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: ASR/NLP Quality & Evaluation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those working in ASR and NLP. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to speech recognition and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences and how they relate to the role of a Senior ML Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer: ASR/NLP Quality & Evaluation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in speech recognition and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ASR and NLP, and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: We’re looking for someone with solid technical expertise. Be sure to mention specific tools, frameworks, and methodologies you’ve used in your previous roles. This will help us understand your hands-on experience in model evaluation.
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 – just follow the prompts!
How to prepare for a job interview at Cresta
✨Know Your Stuff
Make sure you brush up on your knowledge of Automatic Speech Recognition and NLP systems. Be ready to discuss specific models you've worked with and how you've contributed to their evaluation and improvement.
✨Showcase Your Experience
Prepare to share detailed examples from your 5+ years in the field. Highlight your experience in designing evaluation frameworks and any collaborative projects with researchers that led to measurable outcomes.
✨Ask Insightful Questions
Think of questions that show your interest in the company's goals and challenges. Inquire about their current projects in ASR/NLP and how they measure success, which will demonstrate your enthusiasm and strategic thinking.
✨Be Ready for Technical Challenges
Expect some technical questions or case studies during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your problem-solving skills and ability to communicate complex ideas effectively.
