AI and Technology Lead in Warwick

AI and Technology Lead in Warwick

Warwick Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI and tech initiatives to drive innovation and operational excellence.
  • Company: Join National Grid, a leader in energy transition and sustainability.
  • Benefits: Competitive salary, bonus potential, flexible benefits, and a strong pension scheme.
  • Why this job: Shape the future of energy with cutting-edge AI technologies and make a real impact.
  • Qualifications: Experience in AI/ML solutions, Python proficiency, and strong leadership skills.
  • Other info: Dynamic work environment with opportunities for growth and mentorship.

The predicted salary is between 43200 - 72000 £ per year.

About Us

At National Grid, we light up the world by harnessing the unique strengths of our people. Join us as a AI and Technology Lead to be part of a team that's driving forward the energy transition, creating a brighter, more sustainable future for all. Unleash your superpower and bring energy to life.

This position is based from our Warwick office however we offer flexible hybrid working options.

Job Purpose

The AI and Tech Lead will drive the strategic adoption and delivery of advanced technologies, including Artificial Intelligence and Machine Learning, to enable data-driven decision-making and operational excellence. This role will provide technical leadership across digital and data initiatives, ensuring solutions are scalable, secure, and aligned with business objectives. Acting as a bridge between product, engineering, and business teams, the AI and Tech Lead will shape the technology roadmap, champion innovation, and oversee the development of high-impact AI / ML use cases that deliver measurable value.

What You'll Do

  • Define and own the AI and technology roadmap aligned to business outcomes, regulatory obligations, and enterprise architecture standards.
  • Establish and embed AI governance (model risk management, ethical use, responsible AI, data privacy) and report compliance status to leadership.
  • Work with central teams to set technical standards, patterns, and guardrails for AI/ML, analytics, and automation across the product portfolio.
  • Prioritise, scope, and deliver high-impact AI / ML use cases with clear KPIs, value hypotheses, and benefits tracking.
  • Lead / Oversee solution delivery end-to-end, from discovery and PoC to productionisation, ensuring scalability, reliability, and maintainability.
  • Manage and lead the data science team in line with the product managers roadmap.
  • Drive continuous improvement through retrospectives, A/B testing, and post-implementation reviews to realise expected outcomes.
  • Champion cloud-native engineering best practices, automation, and CI/CD for AI workloads.
  • Define data quality SLAs and controls for critical datasets; establish monitoring for drift, bias, and model performance.
  • Implement model lifecycle management (validation, approval, retraining schedules) and manage deprecation/rollback procedures.
  • Partner with internal Legal, Security, and Risk teams to assess and mitigate AI-related risks.
  • Engage product owners, business stakeholders, and operations to translate needs into AI-enabled features with clear Definitions of Ready/Done.
  • Communicate complex technical topics in plain language; provide updates on delivery, risks, and decisions to senior leadership.
  • Lead training, adoption plans, and playbooks to embed new capabilities and processes.
  • Build and mentor a high-performing team (data scientists, ML engineers), fostering a culture of safety, learning, and optimisation.
  • Create standards for code quality, documentation, and peer review; run communities of practice and technical design forums.
  • Upskill the wider organisation on AI literacy and responsible use through enablement sessions and guidance.

About You

  • Proven track record delivering AI/ML solutions from concept to production at scale.
  • Advanced proficiency in Python and ML frameworks.
  • Hands-on experience with MLOps tooling (MLflow, Kubeflow, Azure ML pipelines) and cloud platforms (Azure preferred).
  • Strong understanding of Generative AI, LLMs, and prompt engineering for enterprise use cases.
  • Knowledge of data engineering principles, feature stores, and scalable data pipelines.
  • Ability to lead cross-functional teams and influence senior stakeholders.
  • Skilled in translating complex technical concepts into clear business outcomes.
  • Experience in mentoring and capability building within technical teams.
  • Familiarity with Responsible AI principles, data privacy (GDPR), and regulatory frameworks.
  • Experience implementing AI governance and risk management processes.
  • Strong problem-solving and strategic thinking skills.
  • Excellent written and verbal communication skills.

What You'll Get

A competitive salary – dependent on capability. As well as your base salary, you will receive a bonus of up to 30% of your salary for stretch performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%. You will also have access to a number of flexible benefits such as a share incentive plan, salary sacrifice car and technology schemes, support via employee assistance lines and matched charity giving to name a few.

More Information

The closing date for this vacancy is 2nd March. However, we encourage candidates to submit their applications as early as possible and not to wait until the published closing date. National Grid's recruitment periods can and may vary. We reserve the right to remove this advert or close it to further applications at any point during the recruitment process.

In NGET we are passionate about both operating our network safely and providing highly reliable quality of supply for our customers. At the heart of achieving these outcomes is the effective control and operation of our network.

To find out more about us, please follow the link below:

DE & I statement

At National Grid, we work towards the highest standards in everything we do, including how we support, value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office.

Our goal is to drive, develop and operate our business in a way that results in a more inclusive culture. All employment is decided on the basis of qualifications, the innovation from diverse teams & perspectives and business need. We are committed to building a workforce so we can represent the communities we serve and have a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential.

Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.

AI and Technology Lead in Warwick employer: National Grid

At National Grid, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our Warwick office offers a flexible hybrid working environment, competitive salaries, and a robust benefits package, including a generous pension scheme and performance bonuses. We are committed to fostering employee growth through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for those looking to make a meaningful impact in the energy sector.
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Contact Detail:

National Grid Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI and Technology Lead in Warwick

✨Tip Number 1

Network like a pro! Reach out to current employees at National Grid on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the AI and Technology Lead role.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills and understanding of AI/ML frameworks. Be ready to discuss how you've implemented these technologies in past roles and how they can drive value at National Grid.

✨Tip Number 3

Showcase your leadership skills! Think of examples where you've led cross-functional teams or mentored others. National Grid values collaboration, so highlight how you can bridge gaps between tech and business.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team and contributing to a sustainable future.

We think you need these skills to ace AI and Technology Lead in Warwick

Artificial Intelligence
Machine Learning
Data-Driven Decision-Making
Technical Leadership
AI Governance
MLOps Tooling
Cloud Platforms (Azure preferred)
Generative AI
Data Engineering Principles
Cross-Functional Team Leadership
Communication Skills
Mentoring and Capability Building
Responsible AI Principles
Problem-Solving Skills
Strategic Thinking

Some tips for your application 🫡

Show Your Passion for AI and Tech: When you're writing your application, let your enthusiasm for AI and technology shine through! We want to see how your experience aligns with our mission to drive the energy transition. Share specific examples of projects you've led or contributed to that demonstrate your skills.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with AI/ML solutions and any relevant technical leadership you've provided. We love seeing how your background fits into our vision, so don’t hold back!

Be Clear and Concise: We appreciate straightforward communication, especially when it comes to complex topics. Use plain language to explain your technical expertise and how it translates into business outcomes. This will help us understand your thought process better!

Apply Early Through Our Website: Don’t wait until the last minute to submit your application! We encourage you to apply as soon as possible through our website. This not only shows your eagerness but also gives you a better chance of being considered before the closing date.

How to prepare for a job interview at National Grid

✨Know Your AI and Tech Stuff

Make sure you brush up on your knowledge of AI, ML, and the specific technologies mentioned in the job description. Be ready to discuss your hands-on experience with Python, MLOps tooling, and cloud platforms like Azure. This will show that you’re not just familiar with the concepts but have practical skills to back them up.

✨Showcase Your Leadership Skills

As an AI and Technology Lead, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've influenced stakeholders and driven projects from concept to production. Highlight your experience in mentoring and building high-performing teams, as this is crucial for the role.

✨Communicate Clearly

You’ll need to translate complex technical topics into plain language for various stakeholders. Practice explaining your past projects and their impact in simple terms. This will help interviewers see that you can bridge the gap between technical and non-technical teams effectively.

✨Understand Governance and Compliance

Familiarise yourself with AI governance principles, data privacy regulations, and risk management processes. Be prepared to discuss how you’ve implemented these in previous roles. This knowledge will be key in showing that you can ensure compliance and ethical use of AI technologies.

AI and Technology Lead in Warwick
National Grid
Location: Warwick

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