At a Glance
- 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.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
- 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.
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 employer: FLO
At Flo, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, we provide ample opportunities for professional development and advancement in the rapidly evolving field of data science. Located in a vibrant tech hub, our team enjoys a supportive environment that values creativity and encourages meaningful contributions to our mission of improving health for millions worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer — LLM/MLOps at Scale
✨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 and give you insights that job descriptions 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 interviews by brushing up on common AI/ML questions and case studies. We recommend practising with friends or using mock interview platforms to get comfortable discussing your experience.
✨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
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, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and health applications. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your LLM Knowledge:Since this role focuses on large language models, make sure to mention any specific experience you have with LLM infrastructure. We’re keen to know how you’ve tackled challenges in this area before!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at FLO
✨Know Your Models
Make sure you’re well-versed in large language models and their applications, especially in health tech. Brush up on recent advancements and be ready to discuss how you’ve optimised models in your previous roles.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. Have examples ready that highlight your coding abilities, particularly in building and deploying machine learning models. Consider discussing any libraries or frameworks you’ve used.
✨Understand CI/CD Practices
Familiarise yourself with continuous integration and continuous deployment practices. Be prepared to explain how you’ve implemented these in past projects, as this will show your ability to streamline workflows effectively.
✨Ask Insightful Questions
Don’t forget to prepare thoughtful questions about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
