Senior System Engineer in London

Senior System Engineer in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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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 healthcare.
  • Benefits: Generous holiday allowance, health benefits, study assistance, and employee discounts.
  • Why this job: Shape the future of AI in a collaborative environment and make a real impact.
  • Qualifications: Strong understanding of AI standards, cloud platforms, and scripting languages.
  • Other info: Promotes work/life balance with numerous wellbeing initiatives and career growth opportunities.

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

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.

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/or 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.

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
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme
  • Travel Season ticket loan
  • Electric Vehicle Scheme
  • 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

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.

Senior System Engineer in London employer: Elsevier

Elsevier is an exceptional employer that prioritises innovation and collaboration within its Enterprise Engineering – EUC team. With a strong focus on employee wellbeing, we offer generous benefits such as flexible working arrangements, extensive learning opportunities, and a supportive work culture that encourages personal and professional growth. Join us in shaping the future of AI in a dynamic environment where your contributions directly impact the advancement of science and healthcare.
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Contact Detail:

Elsevier Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior System Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Elsevier or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI platforms and integrations. This will help you stand out during interviews and showcase your hands-on expertise.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of AI interoperability standards and CI/CD tools. Mock interviews with friends can help you feel more confident.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Elsevier.

We think you need these skills to ace Senior System Engineer in London

AI Platform Operations
Microsoft Power Platform
ChatGPT
Azure AI
Root Cause Analysis
AI Governance
CI/CD Pipelines
Automation
Cloud-based Enterprise Platforms
Monitoring and Observability Tools
PowerShell
Python
Interoperability Standards
Cross-functional Collaboration
Documentation

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, cloud management, and any relevant tools like Azure DevOps or PowerShell.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.

Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your familiarity with AI interoperability standards and any hands-on experience you've had with automation and CI/CD pipelines. We love seeing candidates who can blend technical know-how with collaboration.

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 gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Elsevier

✨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’re not just familiar with the tech, but that you understand how to integrate it effectively into enterprise platforms.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've handled complex escalation issues or led root cause analysis. This is your chance to demonstrate your hands-on experience and how you’ve contributed to continuous improvement in platform resilience.

✨Collaboration is Key

Since this role involves working closely with various teams, be ready to talk about your experience collaborating across engineering, security, and product teams. Highlight any projects where you’ve successfully aligned standards and practices to ensure effective AI adoption.

✨Get Technical with CI/CD

Familiarise yourself with CI/CD tools like Azure DevOps and GitHub Actions. Be prepared to discuss how you’ve designed and maintained automation pipelines in previous roles, as this will be crucial for supporting secure deployment and efficient AI operations.

Senior System Engineer in London
Elsevier
Location: London
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  • Senior System Engineer in London

    London
    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • E

    Elsevier

    1001-5000
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