Job description
Contract type:
Permanent Location:
London Salary:
c£65,000 per annum plus civil service pension scheme. Higher ranges may be available for exceptional candidates. Hours:
Flexible working and part time hours will be considered. Closing date for applications:
23:59pm on Sunday 16 February. Nationality Requirement: UK Nationals Nationals of Commonwealth countries who have the right to work in the UK Nationals from the EU, EEA or Switzerland with (or eligible for) status under the European Union Settlement Scheme (EUSS) Please note, we are not able to sponsor work visas or accept temporary visas as we are looking to hire on a permanent basis. Please contact the HR Service desk (hrservicedesk@nao.org.uk) should you have any questions on your nationality eligibility. About the National Audit Office The National Audit Office (NAO) is the UK’s main public sector audit body. Independent of government, we have responsibility for auditing the accounts of various public sector bodies, examining the propriety of government spending, assessing risks to financial control and accountability, and reviewing the economy, efficiency and effectiveness of programmes, projects, and activities. We report directly to Parliament, through the Committee of Public Accounts of the House of Commons which uses our reports as the basis of its own investigations. We employ approx. 1,000 people, most of whom are qualified accountants, trainees, or technicians. The organisation comprises two service lines: financial audit, and value for money (VFM) audit and has a strong core of highly talented corporate teams. The NAO welcomes applications from everyone. We value diversity in all its forms and the difference it makes to our organisation. By removing barriers and creating an inclusive culture all our people can develop and maximise their full potential. As members of the Business Disability Forum and the Disability Confident Scheme we guarantee to interview all disabled applicants who meet the minimum criteria. The NAO supports flexible working and is happy to discuss this with you at application stage. Context and main purpose of the job: The AI engineer is a newly created role within the NAO’s Digital Services (DS) function with responsibility for building AI development and production infrastructure and developing applications and systems that can help organizations increase efficiency, cut costs, increase impact, and make better business decisions. They will support the exploration and evaluation of emerging technology, and how these can support the organisational strategy. Responsibilities of the role: Build AI Development and Production Infrastructure: Design and implement scalable and robust infrastructure to support the development, testing, and deployment of AI models. This includes setting up cloud environments, data pipelines, and continuous integration/continuous deployment (CI/CD) systems. Develop AI Applications and Systems: Create innovative applications and systems that leverage AI technologies to automate processes, enhance productivity, and provide actionable insights. Embed, Integrate, and Deploy AI Models: Ensure AI models are seamlessly embedded into existing systems and workflows. This includes model training, validation, and deployment, as well as monitoring and maintaining model performance in production environments. Provide Inputs to Generative AI Models: Supply relevant text or image inputs to generative AI models to guide their outputs towards desired outcomes. This involves fine-tuning models and curating input data to ensure the generated content meets specific requirements. Support Organizational Strategy with AI: Align AI initiatives with the organization’s strategic objectives. Collaborate with leadership to identify areas where AI can drive significant value and develop roadmaps for AI adoption. Optimize AI Solutions: Continuously refine and optimize AI models and solutions to improve their accuracy, efficiency, and scalability. This includes hyperparameter tuning, model retraining, and performance benchmarking. Collaborate with Cross-Functional Teams: Work closely with teams across the organization, including data scientists, software engineers, product managers, and business analysts, to understand their needs and integrate AI solutions that address those needs effectively. Ensure Data and AI Ethics: Uphold ethical standards in AI development and deployment. This includes ensuring data privacy, avoiding bias in AI models, and promoting transparency and accountability in AI systems. Explore and Evaluate Emerging Technologies: Stay informed about the latest advancements in AI and related fields. Conduct research and pilot projects to assess the feasibility and potential impact of new technologies on the organization’s goals. Stay Updated with AI Trends: Regularly review academic papers, attend conferences, and participate in professional networks to stay current with the latest trends and best practices in AI. Develop and maintain documentation: Create and update comprehensive documentation for all developed processes, including data sources, transformations, and storage. Key skills / competencies required: Applied maths, statistics and scientific practices Communicating between the technical and non-technical Data Analysis and Synthesis Data Innovation Data Modelling, Cleansing and Enrichment Ethics and Privacy (data science) Programming and Build (software engineering) Systems Integration Testing Turning business problems into design Experience: Proven experience in deploying AI models and developing applications. Strong background in designing and implementing AI infrastructure. Demonstrated ability to explore and evaluate emerging technologies. Experience in ensuring ethical AI practices.
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Permanent Location:
London Salary:
c£65,000 per annum plus civil service pension scheme. Higher ranges may be available for exceptional candidates. Hours:
Flexible working and part time hours will be considered. Closing date for applications:
23:59pm on Sunday 16 February. Nationality Requirement: UK Nationals Nationals of Commonwealth countries who have the right to work in the UK Nationals from the EU, EEA or Switzerland with (or eligible for) status under the European Union Settlement Scheme (EUSS) Please note, we are not able to sponsor work visas or accept temporary visas as we are looking to hire on a permanent basis. Please contact the HR Service desk (hrservicedesk@nao.org.uk) should you have any questions on your nationality eligibility. About the National Audit Office The National Audit Office (NAO) is the UK’s main public sector audit body. Independent of government, we have responsibility for auditing the accounts of various public sector bodies, examining the propriety of government spending, assessing risks to financial control and accountability, and reviewing the economy, efficiency and effectiveness of programmes, projects, and activities. We report directly to Parliament, through the Committee of Public Accounts of the House of Commons which uses our reports as the basis of its own investigations. We employ approx. 1,000 people, most of whom are qualified accountants, trainees, or technicians. The organisation comprises two service lines: financial audit, and value for money (VFM) audit and has a strong core of highly talented corporate teams. The NAO welcomes applications from everyone. We value diversity in all its forms and the difference it makes to our organisation. By removing barriers and creating an inclusive culture all our people can develop and maximise their full potential. As members of the Business Disability Forum and the Disability Confident Scheme we guarantee to interview all disabled applicants who meet the minimum criteria. The NAO supports flexible working and is happy to discuss this with you at application stage. Context and main purpose of the job: The AI engineer is a newly created role within the NAO’s Digital Services (DS) function with responsibility for building AI development and production infrastructure and developing applications and systems that can help organizations increase efficiency, cut costs, increase impact, and make better business decisions. They will support the exploration and evaluation of emerging technology, and how these can support the organisational strategy. Responsibilities of the role: Build AI Development and Production Infrastructure: Design and implement scalable and robust infrastructure to support the development, testing, and deployment of AI models. This includes setting up cloud environments, data pipelines, and continuous integration/continuous deployment (CI/CD) systems. Develop AI Applications and Systems: Create innovative applications and systems that leverage AI technologies to automate processes, enhance productivity, and provide actionable insights. Embed, Integrate, and Deploy AI Models: Ensure AI models are seamlessly embedded into existing systems and workflows. This includes model training, validation, and deployment, as well as monitoring and maintaining model performance in production environments. Provide Inputs to Generative AI Models: Supply relevant text or image inputs to generative AI models to guide their outputs towards desired outcomes. This involves fine-tuning models and curating input data to ensure the generated content meets specific requirements. Support Organizational Strategy with AI: Align AI initiatives with the organization’s strategic objectives. Collaborate with leadership to identify areas where AI can drive significant value and develop roadmaps for AI adoption. Optimize AI Solutions: Continuously refine and optimize AI models and solutions to improve their accuracy, efficiency, and scalability. This includes hyperparameter tuning, model retraining, and performance benchmarking. Collaborate with Cross-Functional Teams: Work closely with teams across the organization, including data scientists, software engineers, product managers, and business analysts, to understand their needs and integrate AI solutions that address those needs effectively. Ensure Data and AI Ethics: Uphold ethical standards in AI development and deployment. This includes ensuring data privacy, avoiding bias in AI models, and promoting transparency and accountability in AI systems. Explore and Evaluate Emerging Technologies: Stay informed about the latest advancements in AI and related fields. Conduct research and pilot projects to assess the feasibility and potential impact of new technologies on the organization’s goals. Stay Updated with AI Trends: Regularly review academic papers, attend conferences, and participate in professional networks to stay current with the latest trends and best practices in AI. Develop and maintain documentation: Create and update comprehensive documentation for all developed processes, including data sources, transformations, and storage. Key skills / competencies required: Applied maths, statistics and scientific practices Communicating between the technical and non-technical Data Analysis and Synthesis Data Innovation Data Modelling, Cleansing and Enrichment Ethics and Privacy (data science) Programming and Build (software engineering) Systems Integration Testing Turning business problems into design Experience: Proven experience in deploying AI models and developing applications. Strong background in designing and implementing AI infrastructure. Demonstrated ability to explore and evaluate emerging technologies. Experience in ensuring ethical AI practices.
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