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- Tasks: Develop and optimise large language models for health applications and design automated pipelines.
- Company: Leading health & fitness app company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working conditions, and commitment to professional growth.
- Why this job: Join a dynamic team and make a real impact in the health tech space.
- Qualifications: 4+ years of machine learning experience and strong Python skills required.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading health & fitness app company in Greater London is seeking an AI/ML Platform Engineer. In this role, you will develop and optimize large language models for health applications, design automated pipelines, and implement CI/CD practices.
The ideal candidate has 4+ years of machine learning experience, strong Python skills, and is proficient in LLM infrastructure.
This position offers a competitive salary, flexible working conditions, and a commitment to professional growth.
AI Platform Engineer — LLM/MLOps at Scale in London employer: FLO
Contact Detail:
FLO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer — LLM/MLOps at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the health and fitness tech space, especially those working with AI and ML. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to large language models and MLOps. This is your chance to demonstrate your Python prowess and CI/CD practices in action.
✨Tip Number 3
Prepare for the interview by brushing up on common AI/ML questions and scenarios. We recommend practising coding challenges and discussing your past experiences with LLM infrastructure.
✨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 AI Platform Engineer — LLM/MLOps at Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role of AI Platform Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health applications and how your background in LLM/MLOps makes you a perfect fit for us. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects involving large language models or automated pipelines, make sure to mention them. We love seeing practical examples of your work that demonstrate your expertise 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 FLO
✨Know Your Models
Make sure you brush up on your knowledge of large language models (LLMs) and their applications in health tech. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you optimised those models.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures relevant to machine learning.
✨Understand CI/CD Practices
Familiarise yourself with continuous integration and continuous deployment (CI/CD) practices. Be prepared to explain how you've implemented these in past projects, and think about how you would apply them in this role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI/ML, their tech stack, and how they support professional growth. This shows your genuine interest and helps you assess if it's the right fit for you.
