Principal Applied AI Engineer
28th November 2023
£90000 - £149990
A Civil Service Pension with an average employer contribution of 27%
This job has now expired please search on the home page to find live IT Jobs.Salary £90,000 - £149,990 A Civil Service Pension with an average employer contribution of 27% Job grade SCS Pay Band 1 This is a Senior Civil Service Pay Band SCS 1 role. Existing Civil Servants will be appointed in line with the Civil Service pay rules in place on the date of their appointment. Contract type Fixed Term
Secondment Length of employment 20 month fixed term contract, this will be a 22 month contract for those who are transferring from another government department. Business area CO - Prime Minister's Office - Prime Minister's Delivery Group Type of role Digital
Senior leadership Working pattern Flexible working, Full-time, Job share, Part-time Location Bristol, Glasgow, London, Manchester, York. We embrace flexible working. There will be a requirement for office working in line with new civil service guidelines. We are happy to discuss requirements at interview. If London is not your base location, we would expect you to come into the London office 1-2 times a month. About the job Job summary We are looking for a talented Applied AI Engineer to join our team building the future of critical government AI-powered products. In this role you will work closely with researchers, engineers and product leaders to take your leading AI capability and apply them to real-world, citizen changing problems. You will have the opportunity to apply cutting edge AI models to some of the biggest problems being faced within government. About the team The Incubator for Artificial Intelligence (i.AI) - is an AI for public good programme to harness the opportunities presented by AI to improve the lives of citizens. It will focus on a number of priority projects in home affairs, health, education and government efficiency projects. The i.AI team will use ethical and secure methods at all times to help deliver better public services. Building on the work of No10 Data Science Team (10DS) and other leading technology teams across the civil service i.AI will experiment and prove what is possible in improving the use of AI across the government. You can see more about our work on ai.gov.uk Job description Role Responsibilities Collaborate with cross-functional teams including researchers, product managers and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI. Rapidly prototype AI-powered features and iterate based on user feedback. Optimise AI models and infrastructure for performance, scalability and reliability. Lead the design of and establish frameworks, tools and processes to responsibly develop, deploy and monitor AI systems. Evangelise best practices in applied AI across government. Person specification Proficiency in Python and experience with the full data science and machine learning stack (Pandas, Numpy, PyTorch, Langchain, Pydantic). Strong software engineering skills with a focus on building robust, production ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI including prompt engineering. Passion for building AI that augments human capabilities and improves citizen's lives. Minimum of a PhD or MSc in Computer Science, Machine Learning, Data Science or technically equivalent subject. We welcome a broad range of applicants and encourage you to apply. Strong candidates come from many different backgrounds. Studies show that talented people, especially those from groups underrepresented in their field, are more likely to doubt themselves and feel like an "imposter". Unique perspectives enrich teams, so we urge you to have confidence in your potential contributions. If aspects of this role resonate with you, please apply. We look forward to your application highlighting your skills and experiences Qualifications Minimum of a PhD or MSc in Computer Science, Machine Learning, Data Science or technically equivalent subject. Behaviours We'll assess you against these behaviours during the selection process: Working Together Seeing the Big Picture Delivering at Pace Making Effective Decisions Communicating and Influencing We only ask for evidence of these behaviours on your application form: Working Together Technical skills We'll assess you against these technical skills during the selection process: Technical assessment at interview will be based on the listed essential criteria and will be confirmed to candidates at shortlisting stage Benefits Alongside your salary of £90,000, Cabinet Office contributes £24,300 towards you being a member of the Civil Service Defined Benefit Pension scheme. Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. A Civil Service Pensionwhich provides an attractive pension, benefits for dependants and average employer contributions of 27%. A minimum of 25 days of paid annual leave, increasing by one day per year up to a maximum of 30. Selection process details This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours, Experience and Technical skills. To submit an application, you will need to provide an up to date CV. We would also like you to submit a 500 word personal statement. Please ensure your CV and personal statement demonstrates how you meet the following criteria: Proficiency in Python and experience with the full data science and machine learning stack (Pandas, Numpy, PyTorch, Langchain, Pydantic). Strong software engineering skills with a focus on building robust, production ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI including prompt engineering. Passion for building AI that augments human capabilities and improves citizen's lives. Minimum of a PhD or MSc in Computer Science, Machine Learning, Data Science or technically equivalent subject. Should a large number of applications be received, an initial sift may be undertaken the lead Behaviour, Working Together. Assessment and interview process Your application will be reviewed by a panel. If you have been shortlisted, you will be invited to complete a technical assessment. Technical assessment Candidates will be sent through a problem and asked to solve it. You will present your solution technical panel for 30 minutes. We are looking to understand your thought process and hands-on experience. If you pass the technical assessment, the final stage will be an interview where you will be asked questions on behaviours: Working together Seeing the Big Picture, Delivering at pace Making Effective Decisions and Communicating & Influencing
Candidates that do not pass the interview but have demonstrated an acceptable standard may be considered for similar roles at a lower grade. Depending on the amount of application we get there might be an additional technical assessment.
Expected timeline (subject to change) Expected sift date - 18th December 2023 Technical assessment - 1st-8th January 2024 Expected interview date/s - 15th January 2024 Apply before 11:55 pm on Sunday 10th December 2023.