At a Glance
- Tasks: Develop intelligent observability systems and collaborate with a talented team.
- Company: Join LiveRamp, a leader in AI technology and innovation.
- Benefits: Competitive salary, potential for contract extension, and a dynamic work environment.
- Other info: Opportunity for growth in a fast-paced, tech-driven company.
- Why this job: Make an impact in AI/ML while working on exciting projects in London.
- Qualifications: 1-2 years of software development experience and proficiency in Python.
The predicted salary is between 40000 - 50000 € per year.
LiveRamp is looking for an AI Software Engineer to develop intelligent observability systems in London. This full-time role involves collaboration with backend engineers, data scientists, and more, integrating AI/ML components.
Applicants should have 1-2 years of software development experience, proficiency in Python, and familiarity with AI applications. This position requires a bachelor's degree in a related technical field. The role offers a six-month fixed-term contract with potential for extension.
London AI Reliability & Observability Engineer employer: LiveRamp
LiveRamp is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and the chance to work alongside talented engineers and data scientists on cutting-edge AI projects. Our commitment to a supportive environment ensures that every team member can thrive while contributing to meaningful advancements in technology.
StudySmarter Expert Advice🤫
We think this is how you could land London AI Reliability & Observability Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and software development. Practising with a friend or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace London AI Reliability & Observability Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software development, especially with Python and AI applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for AI and observability systems.
Showcase Collaboration Skills:Since this role involves working with backend engineers and data scientists, highlight any teamwork experiences you've had. We value collaboration, so let us know how you’ve successfully worked in a team setting before.
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 – just a few clicks and you’re done!
How to prepare for a job interview at LiveRamp
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any AI/ML concepts relevant to the role. Be prepared to discuss your previous projects and how you've applied these technologies in real-world scenarios.
✨Collaborate Like a Pro
Since this role involves working with backend engineers and data scientists, think about examples where you've successfully collaborated in a team. Highlight your communication skills and how you can contribute to a cohesive team environment.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical challenges during the interview. Practice coding problems or system design questions that might come up, and explain your thought process clearly as you work through them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and the specific projects you might be working on. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
