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- Tasks: Oversee the end-to-end AI pipeline and design automated systems.
- Company: Leading health app company in Greater London with a focus on innovation.
- Benefits: Flexible working, competitive salary, and growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI in healthcare.
- Qualifications: 7+ years in AI/ML, expertise in Python and cloud platforms.
- Other info: Exciting role with potential for significant career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading health app company in Greater London is seeking an experienced AI/ML Engineer to oversee their end-to-end AI pipeline. The ideal candidate will have 7+ years of experience in building production-grade AI systems and expertise in Python, cloud platforms, and modern ML infrastructure.
You will design and maintain automated pipelines, implement CI/CD practices for model deployment, and build infrastructure for AI applications. This role offers flexible working, competitive salary, and growth opportunities.
Senior MLOps Engineer - AI Platform & LLM Infra in London employer: Femtech Insider Ltd.
Contact Detail:
Femtech Insider Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer - AI Platform & LLM Infra in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space, especially those who work in health tech. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Python and cloud platforms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your CI/CD practices and automated pipelines. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior MLOps Engineer - AI Platform & LLM Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building production-grade AI systems. We want to see your expertise in Python and cloud platforms, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about MLOps and how your skills align with our needs. Be specific about your experience with CI/CD practices and automated pipelines.
Showcase Your Projects: If you've worked on any interesting AI applications or infrastructure projects, make sure to mention them. We love seeing real-world examples of your work that demonstrate your problem-solving skills and creativity.
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 Femtech Insider Ltd.
✨Know Your AI Pipeline Inside Out
Make sure you can discuss your experience with end-to-end AI pipelines in detail. Be ready to explain how you've built production-grade systems, focusing on the challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Brush up on your Python knowledge, especially in the context of AI/ML. Prepare to share specific examples of projects where you've used Python to implement machine learning algorithms or automate processes.
✨Familiarise Yourself with CI/CD Practices
Since this role involves implementing CI/CD for model deployment, be prepared to discuss your experience with these practices. Highlight any tools you've used and how they improved your workflow.
✨Cloud Platforms are Key
As cloud platforms are crucial for this position, make sure you can talk about your experience with them. Discuss specific projects where you've leveraged cloud services to enhance AI infrastructure and the benefits it brought.
