National Gas
Machine Learning Engineer
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Machine Learning Engineer
c. £65,000 + up to 6% bonus
Warwick (hybrid working)
About us
At National Gas, the work we do matters.
As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future.
Join us and help secure Britain's energy.
About the role
We're looking for a Machine Learning Engineer to build, deploy, monitor, and maintain advanced analytics, forecasting, and machine learning solutions that support the safe and efficient operation of Britain's gas transmission network. You'll take ownership of turning analytical models into robust operational products, ensuring they deliver long-term value to the business.
Data plays a critical role in how National Gas operates and plans for the future. From forecasting network demand and understanding weather impacts to optimising asset performance and operational decisions, you'll help ensure data science solutions are deployed, scalable, maintainable, and trusted across the business.
This is an opportunity to work on meaningful challenges with direct impact on national infrastructure. You'll collaborate closely with Data Scientists, engineers, operators, and technology teams while applying modern machine learning engineering practices in a production environment.
What you'll be doing
- Deploy, monitor, and maintain forecasting, optimisation, machine learning, and AI solutions in production environments.
- Build and manage model monitoring, automated testing, deployment processes, and operational support capabilities for machine learning and AI solutions.
- Work closely with Data Scientists to productionise analytical models and ensure they remain reliable, scalable, supportable, and aligned with operational requirements throughout their lifecycle.
- Analyse and prepare large datasets from operational, asset, weather, and market sources.
- Support the development of forecasting, optimisation, and machine learning models where required.
- Create dashboards, visualisations, and applications that communicate insights to stakeholders.
- Work closely with engineers, operators, and business teams to embed solutions into day-to-day operations.
- Measure and demonstrate the value delivered by analytical solutions.
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What you'll bring
Essential
- Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist, or similar quantitative role.
- Experience supporting the development, deployment, or operation of forecasting, optimisation, or machine learning models within a business environment.
- Strong Python programming skills, including experience with libraries such as pandas and scikit-learn.
- Strong experience deploying, monitoring, and maintaining machine learning or analytical solutions in production environments, including automated testing, model monitoring, and version control.
- Experience extracting, manipulating, and analysing data using SQL.
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Degree in a quantitative discipline such as Data Science, Mathematics, Engineering, Statistics, Computer Science, or a related STEM subject, or equivalent industry experience.
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Desirable
- Experience with Azure Machine Learning, Azure DevOps, or similar cloud platforms.
- Experience working with meteorological or climatological data and models, with the ability to interpret weather and climate drivers, understand data limitations, and apply these insights to forecasting, optimisation, and operational decision-support problems.
- Experience within energy, utilities, infrastructure, or other asset-intensive industries.
- Postgraduate qualifications, including a Master's or PhD in a quantitative discipline.
Inclusive recruitment
We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond.
National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant.
What we offer
- Market-leading double-match pension (up to 12% company contribution)
- Annual performance bonus up to 6%
- Access to the Tusker salary sacrifice car scheme
- 26 days holiday (plus statutory holidays)
- 10x salary life assurance and income protection
- Flexible benefits including healthcare, dental, and technology options
- Family-friendly policies, wellbeing support, and professional development opportunities
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