Senior AI Governance Architect - Hybrid Role in London

Senior AI Governance Architect - Hybrid Role in London

London Full-Time 72000 - 88000 £ / year (est.) Hybrid
NETWORK RAIL

At a Glance

  • Tasks: Shape AI governance for innovative railway projects and establish frameworks for responsible AI.
  • Company: Network Rail, a leader in AI-enabled railway innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a blend of office and remote work in a supportive environment.
  • Why this job: Make a real impact on the future of railways with cutting-edge AI technology.
  • Qualifications: Experience in AI governance and collaboration with technical teams.

The predicted salary is between 72000 - 88000 £ per year.

Network Rail, GBRX, is seeking a Senior AI Governance Specialist to shape governance across innovative AI-enabled railway projects.

The role blends office collaboration with remote work, based in the UK with a split attendance pattern at London Paddington or York.

You will establish governance frameworks, risk controls and assurance activities across ML and automation initiatives, working with architects, data scientists and engineers to embed responsible AI practices throughout the lifecycle.

Senior AI Governance Architect - Hybrid Role in London employer: NETWORK RAIL

Network Rail is an excellent employer, offering a dynamic work environment where collaboration and innovation thrive. With a strong focus on employee development, you will have access to numerous growth opportunities while contributing to vital infrastructure projects in the UK. The supportive culture and commitment to maintaining accurate data ensure that your role as a Data & SharePoint Support Specialist is both meaningful and rewarding.

NETWORK RAIL

Contact Details:

NETWORK RAIL Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Governance Architect - Hybrid Role in London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NETWORK RAIL or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

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✨Tap into Online Developer Communities

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✨Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior AI Governance Architect - Hybrid Role in London

Governance Frameworks
Risk Management
Assurance Activities
Machine Learning (ML)
Automation Initiatives
Collaboration Skills
Responsible AI Practices

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NETWORK RAIL.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NETWORK RAIL and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at NETWORK RAIL

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NETWORK RAIL uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.