At a Glance
- Tasks: Build and maintain CI/CD pipelines for machine learning systems.
- Company: Join a forward-thinking tech company at the forefront of ML operations.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with plenty of room for innovation and career advancement.
- Why this job: Be part of an exciting field where you can shape the future of technology.
- Qualifications: Solid understanding of ML algorithms and experience in backend development.
The predicted salary is between 50000 - 60000 £ per year.
We're looking for a DevOps / ML Engineer who sits at the crossroads of infrastructure, backend development, and machine learning operations. You won't be building ML models from scratch, but you'll need a solid understanding of ML algorithms and pipelines to design, deploy, and maintain the systems that power them.
Responsibilities
- You'll build CI/CD pipelines.
- Debug ML pipeline failures.
- Propose automation solutions.
- Keep our production ML systems running smoothly.
DevOps Engineer - MLOps in London employer: OneShot AI
Join a forward-thinking company that values innovation and collaboration, where as a DevOps Engineer - MLOps, you'll be at the forefront of cutting-edge technology in a dynamic work environment. We offer competitive benefits, a culture that fosters continuous learning and professional growth, and the unique opportunity to work on impactful projects that shape the future of machine learning operations. Located in a vibrant area, our team enjoys a supportive atmosphere that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps Engineer - MLOps 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 land you that sweet DevOps Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CI/CD pipelines and any automation solutions you've implemented. We love seeing practical examples of your work, so make sure to highlight those projects when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on ML algorithms and pipeline debugging. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace DevOps Engineer - MLOps in London
Some tips for your application 🫡
Show Your Passion for MLOps:When writing your application, let us see your enthusiasm for MLOps! Share any relevant projects or experiences that highlight your understanding of ML algorithms and pipelines. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the DevOps Engineer role. Highlight your experience with CI/CD pipelines and any automation solutions you've proposed in the past. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to understand your skills and experiences. Avoid jargon unless it's relevant to the role!
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 to do!
How to prepare for a job interview at OneShot AI
✨Know Your ML Basics
Make sure you brush up on your understanding of machine learning algorithms and pipelines. Even though you won't be building models from scratch, being able to discuss how they work and their applications will show that you’re well-versed in the field.
✨Showcase Your CI/CD Knowledge
Be prepared to talk about your experience with CI/CD pipelines. Have specific examples ready where you've built or maintained these systems, and be ready to discuss the tools you used and the challenges you faced.
✨Problem-Solving Mindset
Expect to encounter some scenario-based questions where you'll need to debug ML pipeline failures. Think through your problem-solving process and be ready to explain how you would approach troubleshooting in a clear and logical manner.
✨Automation Solutions Are Key
Since proposing automation solutions is part of the role, come armed with ideas or past experiences where you’ve successfully implemented automation. This could be anything from scripting to using specific tools that improved efficiency in your previous roles.
