Lead AI Engineer
<p><b>Salary: £70,000 - 70,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers</li><li>Strong stakeholder engagement experience with the ability to translate complex requirements to the board and senior team members</li><li>Proven ability to design analytics-ready data models and metrics layers</li><li>Practical experience with large language models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) architectures</li><li>Proficiency in Python (data manipulation, API interaction) and SQL data modelling</li><li>Experience working with REST APIs and integrating multiple business systems</li><li>Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval)</li><li>Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data</li><li>Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors</li><li>Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models</li><li>Define and govern standard metrics, dimensions, and synonyms to ensure AI systems speak the language of the business</li><li>Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time</li><li>Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements</li><li>Rapidly prototype AI solutions to demonstrate value and accelerate adoption</li><li>Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights</li><li>Implement monitoring frameworks to track cost, latency, and quality of AI outputs</li><li>Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs</li><li>Manage the full lifecycle of AI models and agents from development through production and retirement</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>API</li><li>Cloud</li><li>CRM</li><li>Support</li><li>Python</li><li>REST</li><li>SQL</li><li>Security</li><li>Architect</li><li>LLM</li></ul>
<p><b>More:</b></p>
<p>Choosing to work with us means choosing to make a difference. We are changing how businesses and consumers use energy for the better, helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, we are delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050. This role offers a competitive salary of £60-70k, plus a variety of benefits including 25 personal holiday days per year (increasing to 30 after 5 years) and enhanced maternity and paternity leave.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers</li><li>Strong stakeholder engagement experience with the ability to translate complex requirements to the board and senior team members</li><li>Proven ability to design analytics-ready data models and metrics layers</li><li>Practical experience with large language models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) architectures</li><li>Proficiency in Python (data manipulation, API interaction) and SQL data modelling</li><li>Experience working with REST APIs and integrating multiple business systems</li><li>Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval)</li><li>Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data</li><li>Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors</li><li>Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models</li><li>Define and govern standard metrics, dimensions, and synonyms to ensure AI systems speak the language of the business</li><li>Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time</li><li>Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements</li><li>Rapidly prototype AI solutions to demonstrate value and accelerate adoption</li><li>Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights</li><li>Implement monitoring frameworks to track cost, latency, and quality of AI outputs</li><li>Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs</li><li>Manage the full lifecycle of AI models and agents from development through production and retirement</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>API</li><li>Cloud</li><li>CRM</li><li>Support</li><li>Python</li><li>REST</li><li>SQL</li><li>Security</li><li>Architect</li><li>LLM</li></ul>
<p><b>More:</b></p>
<p>Choosing to work with us means choosing to make a difference. We are changing how businesses and consumers use energy for the better, helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, we are delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050. This role offers a competitive salary of £60-70k, plus a variety of benefits including 25 personal holiday days per year (increasing to 30 after 5 years) and enhanced maternity and paternity leave.</p>
<p>last updated 8 week of 2026</p>