At a Glance
- Tasks: Design and build AI applications that make a real difference in the energy sector.
- Company: Join Ofgem, a key player in the UK's energy system, focused on innovation.
- Benefits: Competitive salary, generous pension, flexible working, and 30 days leave after 2 years.
- Other info: Dynamic work environment with excellent training and career growth opportunities.
- Why this job: Be at the forefront of AI technology, shaping the future of energy services.
- Qualifications: Experience in AI applications, strong Python skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
Successful candidates may be based in any of our office locations – Cardiff, Glasgow or London. We especially welcome applicants from Cardiff and Glasgow.
Across government, artificial intelligence is becoming a powerful enabler of improved services, operational efficiency and better decision-making. The opportunity now is to move beyond experimentation and build AI products that work reliably in real operational settings, with solutions that are secure, well‑governed, measurable and useful to the people who rely on them.
Ofgem plays a vital role in the UK’s energy system, protecting consumers and enabling a more secure, fair and sustainable energy future, and applied AI is a key component of how we will modernise and innovate. Within the Digital, Data and Security Services (DDSS) directorate, we are building a modern data and AI capability that embeds advanced technologies into products and services. This includes the use of large language models, AI assistants and agentic systems to support regulatory delivery, improve efficiency and enhance user experience, all within a strong framework of governance and responsible AI.
As a Senior AI Engineer, you will play a critical role in designing, building and operating AI‑enabled applications, shaping the engineering patterns, architecture and delivery practices that allow AI to be used safely at scale. You will work at the intersection of software engineering, data and AI, focusing on the practical application of advanced AI models within secure and scalable digital services. You will collaborate with multidisciplinary teams to take AI solutions from prototype to production, with a focus on reliability, observability, security, cost control and measurable user value. This is a genuinely hands‑on engineering role in a fast‑moving area, with the chance to build reusable patterns for how Ofgem designs, deploys and runs AI‑enabled services. You will combine engineering expertise with a strong understanding of AI capabilities, contributing to innovative solutions while ensuring that systems are reliable, secure and aligned with organisational standards.
Responsibilities
- Designing, developing and deploying AI‑enabled applications and services, using platforms such as Azure AI, Copilot Studio and Azure OpenAI.
- Building and operating advanced AI solutions, including retrieval‑augmented generation (RAG) pipelines and agentic AI systems integrated with trusted data sources.
- Applying strong software engineering practices, including APIs, version control, CI/CD and automated testing, to ensure robust and scalable AI solutions.
- Evaluating and refining prompts, workflows and model configurations to optimise performance, reliability and user outcomes.
- Operationalising AI solutions into live services, ensuring performance, cost, security and compliance are effectively managed.
- Monitoring and maintaining AI systems in production, identifying issues and driving continuous improvement.
- Collaborating with data scientists, engineers and product teams to transition experimental AI capabilities into production‑ready services.
- Engaging stakeholders to identify AI use cases, assess feasibility and define expected value and outcomes.
- Ensuring compliance with Responsible AI, data governance and security requirements across all AI implementations.
- Designing for observability, evaluation and continuous improvement, including monitoring model behaviour, usage, performance, cost and quality over time.
- Creating reusable engineering patterns, technical documentation and reference implementations that help Ofgem scale AI delivery beyond individual prototypes.
We are looking for
A skilled, pragmatic AI engineer who enjoys turning emerging AI capabilities into production‑ready services that solve real user and organisational problems. You will bring strong software engineering experience, combined with hands‑on knowledge of modern AI technologies and platforms. You may come from software engineering, machine learning, data engineering or applied AI, but you will be able to demonstrate:
- Experience delivering AI‑enabled applications into production environments.
- Strong programming capability, particularly in Python and cloud‑based platforms.
- Practical experience working with large language models and modern AI systems.
- The ability to design and integrate AI solutions within complex digital architectures.
- Experience working within multidisciplinary teams in an agile or product‑led environment.
- Experience applying engineering discipline to AI systems, including testing, evaluation, monitoring, security and maintainability.
Experience within government or regulated environments, and familiarity with responsible AI practices, would be beneficial.
Person Specification
- Strong experience delivering AI‑enabled applications in production (Lead Criteria).
- Proven software engineering capability using Python and cloud platforms (Lead Criteria).
- Experience operating large language model‑based systems.
- Experience working in multidisciplinary delivery teams.
- Proven experience of developing AI use cases and recommendations.
- Experience delivering AI in regulated or public sector environments.
- Experience with agile or user‑centred delivery approaches.
Behaviours
- Changing and Improving
- Working Together
- Managing a Quality Service
Benefits
Alongside a salary of £49,452, Ofgem contributes £14,326 towards membership of the Civil Service Defined Benefit Pension scheme. Ofgem can offer a comprehensive and competitive benefits package, which includes 30 days annual leave after 2 years; excellent training and development opportunities; the opportunity to join the generous Civil Service pension; hybrid working (currently 1 day a week in the office but this is kept under review); flexible working hours and family‑friendly policies; and other benefits including clean and bright offices and engaging networks and teams.
Senior AI Engineer employer: Ofgem
Ofgem is an exceptional employer, offering a dynamic work environment where innovation meets public service. With a strong focus on employee growth, we provide excellent training and development opportunities, alongside a competitive benefits package that includes generous leave and a robust pension scheme. Our collaborative culture fosters teamwork and creativity, making it an ideal place for Senior AI Engineers to thrive while contributing to a sustainable energy future.
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We think this is how you could land Senior AI Engineer
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We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ofgem, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ofgem. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ofgem
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ofgem!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
