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- Tasks: Lead the MLOps function and design robust ML pipelines for cloud security.
- Company: A leading cybersecurity firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and make impactful technical decisions.
- Why this job: Shape the future of AI/ML operations in a collaborative environment.
- Qualifications: Over six years of MLOps and ML engineering experience required.
The predicted salary is between 70000 - 90000 £ per year.
A leading cybersecurity firm in the UK seeks a Senior MLOps Engineer to establish and lead the MLOps function. This role involves designing robust ML pipelines and defining the technology strategy. The ideal candidate has over six years of experience in MLOps and ML engineering, with strong expertise in cloud platforms and DevOps practices. You will have the chance to make significant technical decisions and shape the future of AI/ML operations, working within a collaborative and innovative environment.
Senior MLOps Engineer — AI‑Driven Cloud Security in London employer: CrowdStrike
Contact Detail:
CrowdStrike Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer — AI‑Driven Cloud Security in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior MLOps Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects and any ML pipelines you've designed. This gives potential employers a taste of what you can bring to the table, especially in a tech-driven environment.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with cloud platforms and DevOps practices. We want you to shine and show how you can shape the future of AI/ML operations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior MLOps Engineer — AI‑Driven Cloud Security in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and ML engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in cloud platforms and DevOps practices!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven cloud security and how you can contribute to our innovative environment. Let us know what makes you the perfect fit for this role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve designing ML pipelines or making technical decisions in a collaborative setting.
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 shows us you’re keen to join our team!
How to prepare for a job interview at CrowdStrike
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge. Be ready to discuss your experience with ML pipelines and cloud platforms in detail. Prepare examples of how you've successfully implemented MLOps strategies in previous roles.
✨Showcase Your Technical Decision-Making
This role involves making significant technical decisions, so be prepared to talk about past experiences where you had to make tough choices. Highlight your thought process and the impact of those decisions on the projects you worked on.
✨Familiarise Yourself with DevOps Practices
Since strong expertise in DevOps is crucial, ensure you can discuss how you've integrated DevOps practices into your MLOps workflows. Be ready to explain tools and methodologies you've used to enhance collaboration and efficiency.
✨Emphasise Collaboration and Innovation
This position is all about working in a collaborative and innovative environment. Share examples of how you've worked effectively in teams and contributed to innovative solutions in your previous roles. Show that you're not just a techie but also a team player!