Lead Software Engineer; Machine Learning

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,Ahead join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net‑zero emissions and drive efficiencies for a new era of utility companies.

We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients – from major energy operators, to Green Tech startups, and national infrastructure providers – to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world.

Join us as a Lead Software Engineer with a focus on Machine Learning, to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from client‑side deployments to advising on AILetuhalten, while ensuring architectural 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.

• Setting the technical direction and overseeing delivery of high‑risk, ill‑defined software and infrastructure projects while balancing strategic trade‑offs and helping teams prioritise in shifting environments, taking full ownership of successful outcomes for our most challenging projects.

• Designing and developing reliable, production‑grade ML systems and justifying critical architectural decisions to ensure robust delivery.

• Developing clear, compreh պաշտպանhoodroadmaps for novel solutions to help customers achieve their strategic goals and accurately estimating effort on large work streams to ensure successful and timely delivery.

• Engaging with technical and non‑technical customers at all stages of the customer lifecycle, giving reasoned and credible advice and opinions on a broad range of engineering topics.

• Collaborating proactively both within multidisciplinary delivery teams and across the engineering community at Faculty to overcome technical challenges.

• Coaching team members on specific technologies and driving the development of shared organisational resources and libraries to streamline delivery and improve engineering methods across the company.

• Leading the hiring and selection process while mentoring multiple individuals and managers to define the future shape of the engineering team.

• You

• You have an entrepreneurial mindset and are proactive in recommending new technologies or ways of working to keep our offering ahead of the competition.

• You bring expert‑level experience in at least one major Cloud Solution Provider (AWS, GCP, or Azure) and have led teams to build full‑stack web applications.

• You are a proven leader, capable of managing other managers and setting team‑wide development goals to elevate client delivery.

• You thrive in high‑stakes environments, demonstrating the ability to turn innovative ideas into practical, measurable outcomes for global…