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- Tasks: Design and oversee automated AI/ML pipelines for a leading health and fitness app.
- Company: Join a top health and fitness app in London with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working conditions, and health benefits.
- Why this job: Make a real impact in the health tech space while working with cutting-edge AI technologies.
- Qualifications: 7+ years of experience in AI/ML, strong Python skills, and cloud platform knowledge.
- Other info: Be part of a dynamic team with opportunities for growth and development.
The predicted salary is between 43200 - 72000 £ per year.
A leading health and fitness app in London is seeking a seasoned AI/ML Engineer to oversee the end-to-end AI/ML pipeline. You will design automated pipelines, implement CI/CD practices, and build infrastructure for AI applications.
Ideal candidates should have:
- Over 7 years of experience
- Strong expertise in Python
- Familiarity with cloud platforms like AWS or Azure
The role offers a competitive salary, flexible working conditions, and various health benefits.
MLOps Engineer — Build Scalable AI Pipelines in London employer: ETTravel
Contact Detail:
ETTravel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer — Build Scalable AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud platform knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace MLOps Engineer — Build Scalable AI Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML pipelines and CI/CD practices. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise and cloud platform familiarity!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health and fitness tech and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Relevant Projects: If you've worked on any projects that involved building scalable AI pipelines or using AWS/Azure, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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. Plus, we can’t wait to hear from you!
How to prepare for a job interview at ETTravel
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant cloud platforms like AWS or Azure. Be ready to discuss specific projects where you've implemented CI/CD practices and designed automated pipelines. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially related to AI/ML pipelines. Think of examples where you had to troubleshoot issues or optimise processes. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Research the Company Culture
Take some time to learn about the health and fitness app's mission and values. Understanding their approach to health tech can help you align your answers with what they’re looking for. Plus, it shows genuine interest in the company, which is always a plus!
✨Prepare Questions to Ask
Interviews are a two-way street, so come armed with thoughtful questions. Ask about their current AI projects, team dynamics, or how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
