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Come and help us build the next of AI solutions and products for Government. Our team of experts was created by No10 to use AI to deliver for the public good. We do this by experimenting, failing fast, and building products.
We are currently hiring AI engineers and are looking for people who are:
- Passionate about applied AI for the public good
- Strong coding and software engineering skills
- Outcome focussed, rather than output
- Thrive in dynamic environments
- Experiments with the latest advances in AI (agents, MCP, new foundation models)
We have two flavours of AI engineer, so please apply if you are interested either in applied research or product building.
Check out our website for lots of examples of our work: https://ai.gov.uk/
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.
- 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.
- 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.
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.
Other benefits:
- Learning and development tailored to your role.
- An environment with flexible working options.
- A culture encouraging inclusion and diversity.
- ACivil Service Pensionwhich provides an attractive pension, benefits for dependants and employer contributions of 28.97%.
- A minimum of 25 days of paid annual leave, increasing by one day per year up to a maximum of 30.
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Engineering and Information TechnologyIndustries
Government Administration
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