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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 Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, while ensuring engineering decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities Architecting, implementing, and maintaining reliable, scalable ML/software systems, and justifying key architectural decisions. Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth. Proactively developing and executing recommendations for adopting new technologies, tools and changing our ways of working to stay ahead of the competition. Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders. Who we're looking for You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems. , Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes. You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery. You find novel, clever solutions for project delivery and take ownership for successful project outcomes.

Lead Machine Learning Engineer

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