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- Tasks: Operate and evolve AI platforms while tackling complex issues and ensuring security.
- Company: Global leader in information and analytics with a focus on innovation.
- Benefits: Health screenings, generous holiday allowance, and extensive learning resources.
- Why this job: Join a cutting-edge team and shape the future of AI solutions.
- Qualifications: Strong understanding of AI standards and experience with cloud platforms.
- Other info: Dynamic role with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in information and analytics is seeking a Senior Systems Engineer to operate, integrate, and evolve AI platforms. You will handle complex escalation issues, ensure reliability and security, and drive best practices in AI solutions. The role requires a strong understanding of AI interoperability standards and experience managing cloud-based platforms.
Competitive benefits include health screenings, a generous holiday allowance, and access to extensive learning resources.
Senior AI Systems Engineer: Enterprise Platform & Governance in Oxford employer: Elsevier
Contact Detail:
Elsevier 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 engage 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 AI platforms and cloud-based solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI interoperability standards. Practice explaining complex concepts in simple terms, as communication is key!
✨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 take that extra step!
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-based systems. 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 and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Problem-Solving Skills: Since the role involves handling complex escalation issues, share examples of how you've tackled challenges in the past. We’re looking for those who can think on their feet and drive best practices in AI solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about what we do!
How to prepare for a job interview at Elsevier
✨Know Your AI Standards
Make sure you brush up on the latest AI interoperability standards before your interview. Being able to discuss these in detail will show that you’re not just familiar with the basics, but that you’re genuinely invested in the field.
✨Showcase Your Cloud Experience
Prepare specific examples of your experience managing cloud-based platforms. Discuss challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Emphasise Reliability and Security
Since the role involves ensuring reliability and security, be ready to talk about best practices you've implemented in previous roles. Highlight any frameworks or methodologies you’ve used to maintain system integrity.
✨Engage with Learning Resources
Take advantage of the extensive learning resources mentioned in the job description. Familiarise yourself with relevant materials and be prepared to discuss how continuous learning has shaped your approach to AI systems engineering.
