Senior AI Platform Engineer — Enterprise Ops
Senior AI Platform Engineer — Enterprise Ops

Senior AI Platform Engineer — Enterprise Ops

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage and support enterprise AI platforms while driving best practices across teams.
  • Company: Global leader in information and analytics with a focus on innovation.
  • Benefits: Generous benefits, supportive work environment, and career development opportunities.
  • Why this job: Join a team that values your well-being and offers impactful work in AI.
  • Qualifications: Experience with AI interoperability standards and cloud-based platforms required.
  • Other info: Dynamic role with opportunities for professional growth and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

A global leader in information and analytics is seeking a Senior Systems Engineer II to operate and support enterprise AI platforms. This role involves managing complex incidents, ensuring reliability and compliance, and driving best-practice adoption across teams.

The ideal candidate will have experience with AI interoperability standards and cloud-based platforms.

Employees enjoy generous benefits and a supportive work environment that values well-being and career development.

Senior AI Platform Engineer — Enterprise Ops employer: Elsevier

As a global leader in information and analytics, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our employees benefit from generous perks, a strong focus on well-being, and ample opportunities for career growth, all within a dynamic environment that champions the latest advancements in AI technology. Join us in our commitment to excellence and make a meaningful impact in the world of enterprise operations.
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Contact Detail:

Elsevier Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Platform Engineer — Enterprise Ops

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're interested in. We all know that sometimes it's not just what you know, but who you know!

Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI platforms. We recommend doing mock interviews with friends or using online resources to get comfortable with common questions.

Tip Number 3

Showcase your projects! If you've worked on any relevant AI platforms or cloud-based solutions, make sure to highlight them in your discussions. We love seeing real-world applications of your skills!

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’re always looking for passionate individuals who want to grow with us!

We think you need these skills to ace Senior AI Platform Engineer — Enterprise Ops

AI Interoperability Standards
Cloud-Based Platforms
Incident Management
Reliability Engineering
Compliance Management
Best-Practice Adoption
Systems Engineering
Problem-Solving Skills
Collaboration Skills
Technical Support
Analytical Skills
Adaptability
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AI interoperability standards and cloud-based platforms. 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 passionate about enterprise AI platforms and how you can contribute to our team. Keep it engaging and personal – we love getting to know our candidates!

Showcase Problem-Solving Skills: Since this role involves managing complex incidents, share examples of how you've tackled challenges in the past. We’re looking for candidates who can demonstrate their ability to ensure reliability and compliance in their work.

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 Elsevier

Know Your AI Standards

Make sure you brush up on AI interoperability standards before the interview. Be ready to discuss how you've applied these in past roles, as this will show your expertise and understanding of the field.

Showcase Your Cloud Experience

Since the role involves cloud-based platforms, prepare specific examples of your experience with them. Talk about challenges you've faced and how you overcame them, as this demonstrates problem-solving skills and technical knowledge.

Emphasise Reliability and Compliance

Be prepared to discuss how you've ensured reliability and compliance in previous projects. Highlight any best practices you've implemented and how they benefited your team or organisation.

Ask Insightful Questions

At the end of the interview, ask questions that show your interest in the company's culture and commitment to employee well-being. This not only reflects your enthusiasm but also helps you gauge if the company is the right fit for you.

Senior AI Platform Engineer — Enterprise Ops
Elsevier

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