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- Tasks: Develop and optimise AI systems while enhancing infrastructure for impactful health technology.
- Company: Leading health tech company focused on innovation and mission-driven solutions.
- Benefits: Competitive salary, flexible working arrangements, and professional growth opportunities.
- Why this job: Join a dynamic team and make a difference in health technology with your AI skills.
- Qualifications: Over 4 years of machine learning experience, strong Python skills, and cloud platform knowledge.
The predicted salary is between 43200 - 72000 £ per year.
A leading health technology company is searching for an AI/ML Platform Engineer to join their team. In this role, you will be responsible for developing and optimizing AI systems, with a focus on enhancing infrastructure.
The ideal candidate should have over 4 years of experience in machine learning, strong Python skills, and a solid understanding of cloud platforms.
This position offers a competitive salary, flexible working arrangements, and opportunities for professional growth in a mission-driven environment.
AI Platform Engineer — LLM/MLOps at Scale in London employer: Flo Health Inc.
Contact Detail:
Flo Health Inc. 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 industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MLOps. 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. Be ready to discuss your experience with Python and cloud platforms, and think about how you've optimised AI systems in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our mission-driven team.
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 in 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 how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Cloud Knowledge: Since this role involves cloud platforms, make sure to mention any relevant experience you have. Whether it's AWS, Azure, or Google Cloud, we want to know how you've used these tools to enhance AI systems.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Flo Health Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific projects you've worked on, especially those involving AI systems and cloud platforms. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would optimise an AI system or improve infrastructure. Practising common MLOps scenarios can help you articulate your thought process clearly and demonstrate your expertise.
✨Understand the Company’s Mission
Research the health technology company and its mission. Be ready to explain how your skills and experiences align with their goals. Showing genuine interest in their work can set you apart from other candidates and highlight your commitment to making a difference.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you. Asking about their approach to AI and MLOps can lead to a deeper conversation and demonstrate your knowledge.
