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- Tasks: Support and operate enterprise AI platforms while ensuring reliability and managing incidents.
- Company: Global leader in information and analytics with a focus on innovation.
- Benefits: Generous holiday allowance, private medical care, and extensive learning resources.
- Why this job: Join a cutting-edge team driving best practices in AI governance and security.
- Qualifications: Strong skills in cloud platforms, scripting languages, and CI/CD tools required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in information and analytics seeks a Senior Systems Engineer to operate and support enterprise AI platforms. The ideal candidate will ensure platform reliability, manage AI-related incidents, and work collaboratively with various teams to drive best practices in AI governance and security.
Strong skills in cloud platforms, scripting languages, and CI/CD tools are essential for this role.
Benefits include generous holiday allowance, private medical care, and extensive learning resources.
Senior AI Systems Engineer: Enterprise Platform & Governance in Oxford employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Systems Engineer: Enterprise Platform & Governance in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and systems engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to cloud platforms, scripting, and CI/CD tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on AI governance and security best practices. Be ready to discuss how you've handled incidents in the past and how you ensure platform reliability.
✨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 AI Systems Engineer: Enterprise Platform & Governance in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI platforms and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI governance and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role requires strong skills in scripting languages and CI/CD tools, make sure to mention specific technologies you’ve worked with. We’re keen to know how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at RELX
✨Know Your AI Platforms
Make sure you’re well-versed in the specific AI platforms mentioned in the job description. Brush up on your knowledge of cloud platforms and be ready to discuss how you've ensured platform reliability in your previous roles.
✨Showcase Your Scripting Skills
Prepare to demonstrate your proficiency in scripting languages. Bring examples of scripts you've written or projects where you've used these skills to solve problems, especially in relation to AI governance and security.
✨Familiarise Yourself with CI/CD Tools
Since CI/CD tools are essential for this role, make sure you can talk about your experience with them. Be ready to explain how you’ve implemented best practices in your past work and how it improved efficiency.
✨Collaborative Mindset
This position requires working with various teams, so highlight your collaborative experiences. Think of specific instances where you’ve successfully worked with others to drive best practices in AI governance and incident management.
