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- Tasks: Oversee end-to-end AI pipeline and build production-grade AI 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 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving production-grade AI systems. 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 experience with CI/CD practices and cloud platforms, as these are key for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior MLOps Engineer - AI Platform & LLM Infra
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 those skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and MLOps, and how your background aligns with our needs. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool AI projects or automated pipelines, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to CI/CD practices.
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 and maintained production-grade AI systems, focusing on specific projects where you implemented CI/CD practices.
✨Showcase Your Python Proficiency
Brush up on your Python skills and be prepared to demonstrate your coding abilities. You might be asked to solve a problem or optimise a piece of code during the interview, so practice common algorithms and data structures relevant to AI.
✨Familiarise Yourself with Cloud Platforms
Since cloud platforms are crucial for this role, ensure you know the ins and outs of the ones you've worked with. Be ready to discuss how you've leveraged these platforms to build scalable ML infrastructure and any challenges you faced.
✨Prepare Questions About Growth Opportunities
This role offers growth opportunities, so think about what you want to learn and achieve. Prepare insightful questions about the company's vision for AI and how they support professional development, showing your enthusiasm for the position.
