At a Glance
- Tasks: Design, deploy, and maintain ML systems while building CI/CD pipelines.
- Company: OneShot AI, a leader in machine learning operations.
- Benefits: Competitive salary, flexible hours, and opportunities for skill development.
- Other info: Dynamic work environment with potential for career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Understanding of ML algorithms and experience with CI/CD processes.
The predicted salary is between 50000 - 70000 £ per year.
OneShot AI is seeking a DevOps / ML Engineer to work at the intersection of infrastructure and machine learning operations. The ideal candidate won't build ML models from scratch but must understand ML algorithms and pipelines to design, deploy, and maintain necessary systems.
Key responsibilities include:
- Building CI/CD pipelines
- Debugging ML pipeline failures
- Proposing automation solutions to ensure smooth operation of production ML systems
MLOps & DevOps Engineer: Production ML CI/CD in London employer: OneShot AI
OneShot AI is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to explore new ideas and technologies in the rapidly evolving field of machine learning. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a supportive environment that prioritises professional growth, making it an ideal place for those looking to make a meaningful impact in the world of AI and DevOps.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps & DevOps Engineer: Production ML CI/CD in London
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps and DevOps community 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 experience with CI/CD pipelines and ML operations. This could be a GitHub repo or a personal website where you demonstrate your projects and solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ML algorithms and debugging techniques. Practice common interview questions related to production ML systems to boost your confidence.
✨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, applying directly shows your enthusiasm for joining our team!
We think you need these skills to ace MLOps & DevOps Engineer: Production ML CI/CD in London
Some tips for your application 🫡
Show Your Passion for ML and DevOps:When writing your application, let us see your enthusiasm for both machine learning and DevOps. Share any relevant projects or experiences that highlight your understanding of ML algorithms and CI/CD 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 MLOps & DevOps Engineer role. Highlight your experience with building and maintaining CI/CD pipelines, as well as any troubleshooting you've done with ML systems. This helps us see how you fit into our team at OneShot AI.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your skills and experiences. We appreciate a well-structured application that gets straight to the good stuff!
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 gives you a chance to explore more about OneShot AI and what we do!
How to prepare for a job interview at OneShot AI
✨Know Your ML Basics
Even though you won't be building ML models from scratch, it's crucial to have a solid understanding of ML algorithms and pipelines. Brush up on the fundamentals and be ready to discuss how they relate to CI/CD processes.
✨Showcase Your CI/CD Experience
Be prepared to talk about your experience with building CI/CD pipelines. Have specific examples ready that demonstrate your ability to design, deploy, and maintain systems, especially in a production environment.
✨Debugging Skills Matter
Since debugging ML pipeline failures is a key responsibility, think of instances where you've successfully troubleshot issues. Share your thought process and the steps you took to resolve problems, as this will highlight your analytical skills.
✨Propose Automation Solutions
Come equipped with ideas for automation solutions that could improve the operation of production ML systems. This shows initiative and a proactive mindset, which are highly valued in this role.
