Senior AI Governance Specialist in London

Senior AI Governance Specialist in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
NETWORK RAIL

At a Glance

  • Tasks: Shape AI governance for innovative railway technology projects and ensure responsible AI adoption.
  • Company: Join Network Rail and be part of a team that matters to millions.
  • Benefits: Enjoy 28 days annual leave, private healthcare, and discounts on travel and gym memberships.
  • Other info: Hybrid role with flexible working and excellent career growth opportunities.
  • Why this job: Make a real-world impact by driving transformative change in the railway industry.
  • Qualifications: Experience in AI governance frameworks and ability to engage diverse stakeholders.

The predicted salary is between 63000 - 77000 £ per year.

Who We Are

Join Network Rail! Where People and Connections Matter. At Network Rail, we're dedicated to keeping passengers and freight moving safely and efficiently across the country. When you join us, you're not just part of a team - you're part of something that matters to millions. We believe that our people are at the heart of what we do, and every role plays a vital part in building a better, more connected railway. We're committed to creating a diverse, inclusive workplace that reflects the communities we serve. We value flexibility and understand the importance of a healthy work-life balance. As a Disability Confident Leader, we'll do everything we can to accommodate any needs throughout the recruitment process. Safe behaviour is a requirement of working for Network Rail. Applicants should be able to demonstrate their awareness of our safety vision.

About GBRX

At GBRX, we are at the forefront of transforming the railway industry, working to advance the adoption of innovative technology across track and train, and delivering complex projects that push the boundaries of transportation. We are currently seeking a Senior AI Intelligence Governance Specialist to join our team. At GBRX, we foster a values-driven culture rooted in curiosity, pioneering spirit, and tenacity. By applying a first principles approach, we tackle the most complex challenges in railway modernisation, driving transformative change. Our mission is to reshape the future of the railway and improve customer experiences within the railway industry. You'll work on groundbreaking projects that make a real-world impact. This hybrid role offers a balance of regular in-office collaboration with remote work, encouraging flexibility while enabling you to work closely with our diverse team of experts.

About The Role

The Senior Artificial Intelligence (AI) Governance Specialist role offers an exciting opportunity to shape how AI is governed across some of the most innovative technology programmes in the UK rail sector. Working within GBRX, you will help establish the governance frameworks, assurance processes and controls that enable responsible AI adoption while supporting the safe delivery of transformative technology solutions. You will lead the development of AI governance approaches across a growing portfolio of machine learning, automation and emerging agentic AI initiatives. Working closely with Solution Architects, Data Scientists, Engineers and Programme Leads, you will ensure governance and risk management considerations are embedded throughout the entire AI lifecycle, from experimentation and proof of concept through to operational deployment.

A key focus of the role will be identifying, assessing and mitigating risks associated with AI systems, including model reliability, explainability, data usage, security, bias management and ethical considerations. You will provide expert governance advice to programme leaders, helping balance innovation with risk management and regulatory compliance. You will be responsible for establishing practical governance mechanisms including model risk assessments, monitoring frameworks, audit controls, exception management processes and AI assurance activities. Working across multiple stakeholders and delivery teams, you will ensure governance becomes an enabler of innovation rather than a barrier, helping teams safely accelerate the adoption of new AI capabilities.

The role requires someone who can confidently engage with both technical and non-technical audiences, translating complex regulatory, policy and risk requirements into practical controls and governance guardrails that support effective AI delivery. At GBRX, responsible AI is a strategic priority. As the Senior AI Governance Specialist, you will help define the standards and principles that shape how AI is deployed across the railway industry, ensuring solutions remain safe, transparent, accountable and trusted by colleagues, customers and stakeholders alike. This role can be based in one of the following offices; London Paddington (Enterprise House) or York. This role requires working from the office at least 3 days per week.

What's In It For You

  • 28-day annual leave with the option to buy and sell days
  • Choice of pension schemes
  • 75% discount of leisure travel for you and your family
  • Private Healthcare
  • 5 days paid volunteer or carers leave
  • Up to 75% subsidised Rail and Underground travel
  • Gym Pass - access to gyms across UK
  • My Benefits platform - giving national and local retail discount

Our aim is to ensure your candidate experience is as positive as possible. If you require reasonable adjustments at any point, simply let us know and we'll do our best to assist you. Some of our roles require face to face Drugs & Alcohol testing. We will share further details with you as part of your formal offer. All offers of employment are conditional upon satisfactory completion of pre-employment checks.

What we need from you

  • Significant experience designing, developing and implementing AI governance frameworks, model risk management controls, responsible AI practices, or technology assurance activities within complex technology or data-driven programmes.
  • Experience operating within regulated or compliance-sensitive environments.
  • Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts.
  • Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions.
  • Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams.
  • Relevant sectors might include, Aviation, Water, Nuclear or oil and gas.

Ready to drive the future of railway systems? Bring your expertise to GBRX and make a lasting impact.

Senior AI Governance Specialist 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 Specialist in London

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We think you need these skills to ace Senior AI Governance Specialist in London

AI Governance Frameworks
Model Risk Management
Responsible AI Practices
Technology Assurance Activities
Machine Learning Pipelines
Data Governance Practices
Model Monitoring Concepts

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.

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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.

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