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    Lead Software Engineer - London, United Kingdom - Faculty

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    Description
    Faculty transforms organisational performance through safe, impactful and human-led AI.
    We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists.

    Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship.

    Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely.

    Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online.

    AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely.

    You'll play a key role in building the product to ensure the scalability for seamless deployment to multiple customers, leveraging your expertise to build a robust application, integrate with operational systems, and craft intuitive and delightful user experiences.

    Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.

    This role is a combination of practical technical implementation, leadership and collaboration with internal stakeholders from across Faculty to implement Frontier.

    Taking the lead as the technical expert for one of the Squads in the broader Solutions Group, comprising Engineers, Product Designers, Data Scientists and a Product Manager.

    Implementing the product using one or more of our primary languages - Python & TypeScript. Proven experience leading Backend and Frontend Engineers.
    Proficiency in Python, AsyncIO, FastAPI.
    Familiarity with GraphQL, Typescript, and ReactJS.
    Experience championing automated testing strategies across various levels of the test pyramid.
    Expertise in Docker with deployment on Kubernetes, preferred


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