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- Tasks: Own the end-to-end AI/ML pipeline and design automated systems.
- Company: Leading health application firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible work arrangements, and extensive professional growth opportunities.
- Why this job: Join a dynamic team and make a real impact in the health tech industry.
- Qualifications: 7+ years in AI/ML, proficient in Python, and cloud services knowledge.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading health application firm in Greater London is seeking an experienced AI/ML Engineer to own the end-to-end AI/ML pipeline. You will design and maintain automated systems while ensuring compliance with AI standards.
The ideal candidate has over 7 years of experience in deploying production-grade AI systems, proficient in Python, with knowledge of cloud services like AWS or GCP.
This role offers a competitive salary, flexible work arrangements, and extensive professional growth opportunities.
MLOps Engineer — AI Platform & Scalable Pipelines employer: Flo Health Inc.
Contact Detail:
Flo Health Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer — AI Platform & Scalable Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving scalable pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to MLOps and be ready to discuss your experience with cloud services like AWS or GCP.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace MLOps Engineer — AI Platform & Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML pipelines and cloud services like AWS or GCP. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
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 7+ years of experience make you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any production-grade AI systems, make sure to mention them in your application. We love seeing real-world examples of your work, so include links or descriptions of your projects that demonstrate your expertise.
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. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Flo Health Inc.
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with deploying production-grade AI systems, especially in relation to the job description. Highlight specific projects where you've designed and maintained automated systems.
✨Show Off Your Python Skills
Since proficiency in Python is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures in Python to ensure you're sharp and ready.
✨Cloud Services Knowledge is Key
Familiarise yourself with cloud services like AWS or GCP, as they are crucial for this role. Be prepared to discuss how you've used these platforms in past projects. If you can, bring examples of how you've optimised AI pipelines using these services.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about their current AI projects, team dynamics, or how they ensure compliance with AI standards. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
