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- Tasks: Design and optimise machine learning models, focusing on audio processing.
- Company: Join a forward-thinking recruitment agency in London.
- Benefits: Enjoy a competitive salary and comprehensive benefits package.
- Why this job: Make a real impact in the insurance industry with innovative AI solutions.
- Qualifications: Strong experience with PyTorch and a solid foundation in machine learning required.
- Other info: Collaborative environment with opportunities for professional growth.
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 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and MLOps space, especially those who work in audio processing. A friendly chat can lead to insider info about job openings or even a referral.
✨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 bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how you've tackled challenges in ML pipelines and MLOps systems.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team.
We think you need these skills to ace Senior ML Engineer – End-to-End AI & MLOps (Audio) in 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! Tailor your application to the role by mentioning specific experiences that relate to developing ML pipelines and deploying MLOps systems. This shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 don’t miss out on any important updates from our team!
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.
✨Show Off Your MLOps Skills
Since the role involves deploying MLOps systems, be prepared to talk about your experience with building and maintaining ML pipelines. Highlight any tools or frameworks you've used, particularly if they relate to PyTorch, and how you've collaborated with teams to ensure smooth deployment.
✨Understand the Insurance Industry
Familiarise yourself with how machine learning is applied in the insurance sector. Being able to discuss relevant use cases or challenges in this field will show that you're not just technically skilled but also understand the business context of your work.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
