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Senior Software Engineer

Organismo
Faculty
País
🇬🇧 Reino Unido
Lugar
UK - London
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the Team Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies. We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role: As a Senior Software Engineer, we’ll look to you to lead development and deployment of cutting-edge AI and software systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML/software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise and confident client-facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML and software systems Designing and building production-grade ML/software, tools, and scalable infrastructure De

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