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- Tasks: Design and optimise machine learning models, focusing on audio processing.
- Company: Dynamic recruitment agency in London with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and a creative work environment.
- Why this job: Join a cutting-edge team and make a real impact in the insurance industry.
- Qualifications: Strong experience with PyTorch and a solid foundation in machine learning.
- Other info: Exciting opportunities for career growth in a collaborative setting.
The predicted salary is between 43200 - 72000 £ per year.
A recruitment agency is seeking a Senior Machine Learning Engineer in London to design, train, and optimize machine learning models, particularly in audio processing. The role involves developing robust ML pipelines, deploying MLOps systems, and collaborating with teams to deliver impactful solutions within the insurance industry.
Candidates should have strong experience with PyTorch and a solid foundation in machine learning. The position offers a competitive salary, comprehensive benefits, and the opportunity to work in an innovative environment.
Senior ML Engineer – End-to-End AI & MLOps (Audio) in City of London employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – End-to-End AI & MLOps (Audio) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with audio processing or MLOps. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, particularly those involving PyTorch and audio processing. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and MLOps practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer – End-to-End AI & MLOps (Audio) in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with PyTorch and any relevant projects you've worked on. We want to see how you’ve designed, trained, and optimised ML models, especially in audio processing!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior ML Engineer role. We love seeing how your background aligns with our needs in the insurance industry.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your experience and skills shine through without unnecessary fluff!
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 Michael Page (UK)
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models, especially in audio processing. Be ready to explain how you've designed, trained, and optimised these models, and have specific examples from your past work that demonstrate your expertise.
✨Showcase Your MLOps Knowledge
Since the role involves deploying MLOps systems, brush up on your knowledge of ML pipelines. Be prepared to talk about the tools and frameworks you've used, particularly with PyTorch, and how you've implemented them in real-world projects.
✨Collaborate Like a Pro
This position requires teamwork, so think of examples where you've successfully collaborated with others. Highlight your communication skills and how you've worked with cross-functional teams to deliver impactful solutions, especially in the insurance sector.
✨Stay Updated on Industry Trends
The field of AI and machine learning is always evolving. Make sure you're aware of the latest trends and technologies in audio processing and MLOps. This will not only show your passion for the field but also your commitment to continuous learning.
