At a Glance
- Tasks: Operate and evolve AI platforms, ensuring reliability and security while driving best practices.
- Company: Join a global leader in information and analytics, shaping the future of science and healthcare.
- Benefits: Generous holiday allowance, health benefits, wellbeing programs, and extensive learning resources.
- Why this job: Make a real impact on AI solutions that advance science and improve health outcomes.
- Qualifications: Strong understanding of AI standards, cloud platforms, and experience with automation tools.
- Other info: Enjoy a healthy work/life balance with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 ÂŁ 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 experience delivering large‑scale enterprise integrations, with a willingness to deepen AI‑specific expertise.
- 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.
Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing 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 to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Systems Engineer II in Oxford employer: LexisNexis
Contact Detail:
LexisNexis 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 your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its AI platforms. Show them you’re not just another candidate; you’re genuinely interested in how they operate and innovate.
✨Tip Number 3
Practice your technical skills and be ready to discuss your hands-on experience with AI systems. They’ll want to know how you can contribute to their enterprise AI platforms.
✨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 Systems Engineer II in Oxford
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI platforms and systems engineering. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Azure AI Services, PowerShell, or Python. We’re looking for someone who can hit the ground running, so let us know how you’ve used these in past roles.
Highlight Collaboration Experience: Since this role involves working closely with various teams, share examples of how you’ve successfully collaborated across departments. We love seeing candidates who can bridge gaps and drive projects forward together!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at LexisNexis
✨Know Your AI Standards
Make sure you brush up on AI interoperability standards and frameworks like the Model Context Protocol. Being able to discuss these in detail will show that you understand the technical requirements of the role and can contribute to the team’s goals.
✨Showcase Your Integration Experience
Prepare examples of your past experiences integrating AI capabilities into enterprise platforms, especially with tools like Microsoft Power Platform. Highlight specific projects where you’ve successfully managed cloud-based platforms and how you tackled challenges.
✨Demonstrate Cross-Functional Collaboration
Since this role involves working closely with various teams, be ready to share instances where you collaborated across engineering, security, and product teams. Discuss how you ensured alignment on AI standards and operational practices.
✨Prepare for Technical Questions
Expect technical questions related to automation, CI/CD pipelines, and scripting languages like PowerShell or Python. Brush up on these topics and be prepared to explain how you’ve used them in previous roles to enhance AI operations.