Lead Software Engineer - Delivery

About Faculty

Faculty transforms organisational performance through safe, impactful and human-led AI. 

We are Europe’s leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. 

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.

Role Description

Faculty is one of Europe’s leading applied artificial intelligence companies. We build, deploy and operate AI solutions to increase our customers’ performance and help them realise their full potential. We believe that AI should be trustworthy, impactful and beneficial across society. Those principles have shaped our work with more than 230 organisations across the public and private sectors as we help them use AI to understand more deeply, make better decisions and act faster.

About the Role

We're actively seeking an experienced Lead Software Engineer to build  the engineering team within Frontier Delivery; owning and embedding best practice engineering for the deployment of Frontier.

As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, whilst leading the way in best technical practices. 

In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising bed management in healthcare institutions to addressing logistics in the military and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights.

What you will be doing:

In Faculty, the Frontier team is building a Decision Intelligence platform, which we believe will empower enterprises to transform their decision-making processes.

At the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions. 

As an engineer in the Frontier Delivery team, you will have a key role in building our capacity to build CT’s for our customers, and work with our delivery partners to scale this capability further.

Your responsibilities will include:

  • Operational involvement  in the delivery of Frontier projects as needed.
  • Getting involved in technical pre-sales conversations.
  • Hiring and mentoring Engineers in the delivery team
  • Technical guidance on implementation best practices

What we are looking for:

We're seeking a candidate with the following qualifications:

  • Demonstrable experience leading engineers in building and deploying technically complex platforms
  • Experience building and scaling engineering teams
  • Experience with startup-centric fast-paced work, sometimes introducing creative approaches to difficult problems.
  • Comfortable interacting with partners, customers and other stakeholders.
  • Experience working with platform and services delivery models
  • An understanding of the AI value chain
  • Experience with a platform product team and iterating platform features.
  • Working experience with Python, Javascript and React
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logo Faculty Software Engineering FullTime 🌎 Remote 📍 Hybrid - London Apply Now
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