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For Companies At a Glance
- Tasks: Operate and evolve AI platforms, ensuring reliability and security while driving best practices.
- Company: Global leader in information and analytics, dedicated to advancing science and health outcomes.
- Benefits: Generous holiday allowance, health benefits, well-being programs, and extensive learning resources.
- Why this job: Join a collaborative team shaping responsible AI solutions that make a real-world impact.
- Qualifications: Strong understanding of AI standards, cloud platforms, and experience with automation tools.
- Other info: Dynamic work environment with opportunities for career growth and community involvement.
The predicted salary is between 36000 - 60000 £ per year.
About the Team: The Enterprise Engineering – EUC team is a collaborative group dedicated to building and supporting the AI platforms that power intelligent tools across Elsevier. We work closely with engineering, security, and product teams to ensure AI solutions are reliable, secure, and responsibly deployed. Focused on innovation and best practices, we enable teams across the business to adopt AI safely and effectively while shaping Elsevier’s enterprise-wide AI ecosystem.
About the Role: As a Senior Systems Engineer, you will be responsible for operating, integrating, and evolving Elsevier’s enterprise AI platforms. You’ll handle complex escalation issues, ensure AI systems are reliable, secure, and compliant, and drive best-practice adoption across engineering, security, and product teams. Blending hands-on technical work with cross-functional collaboration, you’ll help shape Elsevier’s responsible AI ecosystem—building scalable solutions, strengthening governance, and enabling teams across the business to use AI effectively and safely.
Responsibilities:
- Operate and support enterprise AI platforms (e.g., Microsoft Power Platform, ChatGPT, Azure AI), ensuring reliability, performance, and secure integration with core systems.
- Serve as a senior escalation point for AI-related incidents, leading root-cause analysis, remediation, and continuous improvement of platform resilience.
- Implement and maintain AI integrations and interoperability, including support for open standards such as the Model Context Protocol (MCP).
- Enforce AI governance, security, and compliance, aligning solutions with RELX Responsible AI principles, data protection, and regulatory requirements.
- Design and maintain automation and CI/CD pipelines to support repeatable, secure deployment and efficient AI operations.
- Collaborate across engineering, architecture, security, and product teams to align AI standards, tooling, and operational practices.
- Enable and educate internal teams, contributing to documentation, runbooks, and best practices to support effective and responsible AI adoption.
- Implement and enforce AI governance and compliance frameworks.
Requirements:
- Strong understanding of AI interoperability standards and frameworks (e.g., Model Context Protocol, Azure AI Services such as Cognitive Search, Azure ML, OpenAI) and experience integrating AI capabilities into enterprise platforms including Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio), or comparable large-scale enterprise integration experience.
- Experience managing cloud-based enterprise platforms, including automation, monitoring, and maintenance.
- Familiarity with CI/CD tools such as Azure DevOps and GitHub Actions.
- Working knowledge of PowerShell, Python, or similar scripting languages for automation and diagnostics.
- Experience with monitoring and observability tools.
Benefits & Well-being:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Well-being programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
About the Business: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics.
Senior Systems Engineer II in Oxford employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Systems Engineer II in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Elsevier. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI platforms and integrations. This hands-on evidence can really set you apart during interviews.
✨Tip Number 3
Get familiar with the latest trends in AI and enterprise systems. Being able to discuss current developments shows you're not just knowledgeable but also passionate about the field.
✨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, it shows you’re serious about joining the team!
We think you need these skills to ace Senior Systems Engineer II in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Systems Engineer role. Highlight your experience with AI platforms and any relevant projects you've worked on, as this will show us you're a great fit for the team.
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 your background makes you the perfect candidate. Don’t forget to mention how you can contribute to our mission at Elsevier.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include specific examples of your experience with cloud-based platforms, automation, and scripting languages. This will help us understand your hands-on capabilities.
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 to do!
How to prepare for a job interview at RELX
✨Know Your AI Standards
Make sure you brush up on AI interoperability standards and frameworks like the Model Context Protocol. Being able to discuss how these standards apply to enterprise platforms will show that you’re not just familiar with the tech, but you understand its implications in a real-world setting.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've handled complex escalation issues or led root-cause analysis. This role requires a hands-on approach, so demonstrating your ability to troubleshoot and improve platform resilience will set you apart.
✨Collaboration is Key
Since this position involves working closely with various teams, be ready to share experiences where you’ve successfully collaborated across engineering, security, and product teams. Highlighting your teamwork skills will show that you can thrive in a collaborative environment.
✨Get Familiar with CI/CD Tools
Brush up on your knowledge of CI/CD tools like Azure DevOps and GitHub Actions. Be prepared to discuss how you’ve used these tools in past projects to support secure deployment and efficient operations, as this will demonstrate your technical expertise.
