Lead Applied AI Engineer (i.AI)
Dyddiad hysbysebu: | 20 Mehefin 2025 |
---|---|
Cyflog: | £67,126 i £103,924 bob blwyddyn, pro rata |
Oriau: | Llawn Amser |
Dyddiad cau: | 13 Gorffennaf 2025 |
Lleoliad: | London, UK |
Gweithio o bell: | Ar y safle yn unig |
Cwmni: | Government Recruitment Service |
Math o swydd: | Parhaol |
Cyfeirnod swydd: | 403565 |
Crynodeb
In November 2023, the creation of the incubator for AI (i.AI) was announced, and following early successes, the team was expanded in March 2024. Our mission is to harness the opportunity of AI to improve lives, drive growth, and deliver better public services. This is an AI product team that focuses on delivery of technical solutions to public service challenges, responding to ministerial steers about priorities and driving impact out into departments from the centre.
i.AI delivers high impact products and is mission-led, delivering value and innovation within government. We are able to move fast and build things, and are set up specifically to pivot quickly towards priority use cases, and re-use technologies for future impact.
You can see more about our work on ai.gov.uk and on LinkedIn. We work in the open and our code can be found here: https://github.com/i-dot-ai
The Incubator for Artificial Intelligence (i.AI) will be moving to the Department for Science, Innovation and Technology (DSIT) to form part of the new digital centre of government. This will happen on 1st June 2025. If offered the position, you will be on-boarded directly into DSIT. If shortlisted, the hiring panel will be happy to answer any questions you might have. You're also welcome to reach out to us at i-dot-ai-recruitment@cabinetoffice.gov.uk.
We are looking for a talented and experienced AI engineer to join our team building the future of critical government AI-powered products. In this role you will work closely with engineers, designers and product leaders to build AI capabilities and products that have an impact on real-world problems. You will be focussed on bringing together all of the technical elements needed to develop and deploy AI products, delivering against robust metrics that you help define.
Role Responsibilities
Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we’re building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts.
Writing and reviewing code daily.
Ensuring that the members of your technical team are delivering to the best of their ability, ensuring continued investment in the project and in their own skills.
Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI.
Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products.
Evangelising best practices in applied AI across government.
Highly focussed on solving problems and identifying the critical path to impact.
Staying on top of the latest developments in AI, including new models and paradigms.
Person specification
We’re looking for experienced software engineers with a passion for building products that augment human capabilities and improve citizens’ lives.
Essential skills:
Proficiency in Python.
Strong software engineering skills with a focus on building production-ready systems
An understanding of deploying and monitoring such systems in a cloud environment.
Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers).
Experience with natural language processing, deep learning and generative AI.
Passion for building products that augment human capabilities and improves citizens’ lives.
Have a humble attitude and an eagerness to help others with empathy.
Working in dynamic environments and navigating ambiguity, prioritising ruthlessly where necessary.
Experience of the following would be beneficial but not essential:
Building AI agents, or products that rely on AI agents.
Developing and working with tools and interfaces for AI applications (e.g. Anthropic’s Model Context Protocol).
Training traditional Machine Learning and Deep Learning models.
Experience delivering applications to production.
Hands-on experience with containerisation technologies such as Docker.
Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate.
Supporting and enabling technical teams via upskilling, mentoring and conflict resolution.
Owning outcomes end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure your team succeeds
Explaining complex technical concepts to both technical and non-technical audiences with clarity
Proven ability to collaborate with “non-engineering” disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.
Strong candidates come from many different backgrounds, and we encourage a broad range of applications to ensure we have a well-balanced team. 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.
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