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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, engineering leadership, and confident client-facing skills.
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.
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.
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More from this employer
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
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, engineering leadership, and confident client-facing skills.
Leading technical scoping and architectural decisions for high-impact ML and software systems
Designing and building production-grade ML/software, tools, and scalable infrastructure
Defining and implementing best practices and standards for deploying machine learning at scale across the business
Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
You possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems.
You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
Talent Team Screen (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial Interview (60 minutes)
UK-based applied AI services company helping public and private organizations design, build, and safely deploy AI systems.
Visit company websiteJobs and hiring trendsFull Time, Part Time
Senior
Hybrid
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