---
title: 'Lead Machine Learning Engineer at Faculty'
canonical: 'https://feeny.ai/job/lead-machine-learning-engineer-faculty-london-nbaefp5rk6k2'
type: 'job'
last_seen: '2026-09-11'
---

# Lead Machine Learning Engineer at Faculty

- **Company:** [Faculty](https://feeny.ai/companies/faculty)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/faculty/3c808ef2-1d15-4352-bf87-93fef11027d1/application

**Skills:** Kubernetes, TensorFlow, PyTorch, CI/CD, Cloud-native ecosystems, Agentic systems, API design, Model deployment, Model lifecycle management

> Lead AI/ML Engineer to set technical direction for complex AI/ML projects, ensuring scalable model performance in production. The role involves designing shared libraries, managing CI/CD pipelines, and coaching a team while defining project roadmaps for high-risk government and public service clients.

## Job description

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](https://faculty.ai/impact).

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

Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.

From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.

Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.

## About the role

As a Lead Machine Learning Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities.

You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams.

This is an ambitious, entrepreneurial leadership role where you will act as a trusted technical expert, defending your architectural rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs.

What you'll be doing:

- Designing, implementing, and maintaining reliable, scalable ML systems while justifying key architectural decisions for production environments.
- Driving the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines.
- Leading model integration with infrastructure by creating APIs and services that enable scalable AI functionality in applications.
- Overseeing the delivery of multiple complex workstreams and defining project problems in high-risk environments.
- Ensuring reliable model performance by defining testing frameworks and model versioning systems for senior engineers to implement.
- Managing and coaching multiple individuals, setting team-wide development goals to improve technical depth and client delivery.
- Executing proactive recommendations for adopting new technologies and AI frameworks to maintain Faculty's competitive market position.

Who we're looking for:

- You are an expert at defining technical roadmaps and managing project priorities to deliver high-stakes outcomes within high-growth environments.
- You possess mastery of cloud-native ecosystems and orchestration tools like Kubernetes to automate complex model lifecycles and robust CI/CD pipelines.
- You have a proven ability to design large-scale, AI-powered platforms and provide the technical justification for critical architectural decisions in high-risk environments.
- You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges.
- You define the engineering standards and architecture patterns for agentic systems, ensuring teams build to a consistent, production-grade bar.
- You demonstrate an exceptional ability to align multi-disciplinary technical teams with broader business objectives and evolving customer needs.

The Interview Process

- Talent Team Screen (30 minutes)
- Introduction to the Hiring Manager (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial & Leadership Interview (60 minutes)

## #LI-PRIO

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

## About Faculty

## Company Overview
- **One-liner**: Faculty is a British AI company that builds and deploys safe, human-led AI systems to help organizations across government and industry make better decisions and improve performance.
- **Entity Type**: Private (Growth Stage)
- **Headquarters**: London, United Kingdom
- **Founded**: 2014
- **Founders**: Dr. Marc Warner (CEO), Dr. Angie Ma, and Andrew Brookes (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Machine Learning, Data Science, AI Safety
- **Target customers**: B2B, Enterprise, Government (including UK Ministry of Defence, NHS, and leading global brands)
- **Mission or purpose statement**: "Putting AI to work for the world" — making AI useful by helping clients access cutting-edge AI to improve business performance.

## Products & Services
- **Frontier (AI Operating System)**: Faculty’s proprietary AI platform that serves as the backbone for building, deploying, and managing AI solutions at scale. It enables clients to operationalize AI across their organizations.
- **AI Consulting & Solutions**: Custom AI projects for clients, spanning decision intelligence, predictive analytics, and process automation. Notable work includes the NHS Covid Early Warning System and mission-critical projects for the UK Ministry of Defence.
- **Fellowship Programme**: A prestigious, highly selective program that retrains academics (PhD-level) into commercial data scientists. It has over 425 alumni and is considered one of the best in Europe.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Revenue has grown by more than 20x under the tenure of Chief Commercial Officer John Gibson. Specific revenue figures are not publicly available.
- **Notable Investors/Partners**: Not publicly disclosed in detail, but the company has worked with hundreds of organizations globally, including the UK Government, NHS, and major brands. The CCO, John Gibson, is a member of the Innovate UK Council.
- **Growth Signals**: 
  - 663 total employees (as per Built In profile)
  - Revenue growth of 20x+ under current commercial leadership
  - Over 425 alumni from its Fellowship programme
  - Active hiring across multiple senior roles (ML Engineer, Research Scientist, Full Stack Engineer, Data Scientist)
  - Strong government and defense sector relationships

## Competitive Advantages
- **Deep Government & Defense Ties**: Proven track record with the UK Ministry of Defence and NHS, creating a high barrier to entry for competitors.
- **AI Safety Focus**: Explicit commitment to safe, human-led AI — a key differentiator as AI regulation and ethics become paramount.
- **Proprietary Platform (Frontier)**: A mature, in-house AI operating system that provides a technical moat and enables rapid deployment.
- **Elite Talent Pipeline**: The Fellowship programme creates a unique, high-quality talent pool of PhD-level data scientists.
- **Decade of Focus**: The company has been exclusively focused on AI since 2014, avoiding hype cycles and building deep expertise.

## Strategic Focus
- **Scaling AI Impact**: Moving from bespoke consulting to platform-driven solutions via Frontier.
- **AI Safety Leadership**: Investing heavily in AI safety research and roles (e.g., Principal Research Scientist - AI Safety).
- **Government & Enterprise Expansion**: Deepening relationships with public sector clients while expanding into new commercial verticals.
- **Talent Development**: Continuing to grow the Fellowship programme and invest in internal training and development.

## Why Work Here
- **Mission-Driven Work**: Employees work on "the world’s most important problems" — from pandemic response to national security.
- **Autonomy & Trust**: The company emphasizes operating with "an unusual amount of trust and autonomy."
- **Culture of Depth & Kindness**: Values include "Be Humble & Kind," "Seek Truth," and "Maximise Impact." The culture is described as intellectually rigorous but collaborative.
- **Hybrid Work Model**: Based in London with a hybrid working policy. Some roles are listed as remote (UK-based).
- **Strong Benefits Package**: Includes equity, performance bonuses, generous parental leave, health/dental/vision insurance, free snacks and drinks, employee discounts, and job training/conferences.
- **Diversity & Inclusion**: Offers diversity-based Employee Resource Groups and publishes a Gender Pay Gap report.
- **Elite Peer Group**: Described as a place where you work with "conspicuously smart and kind" people — a "professional challenge of a lifetime."

## Sources
1. [faculty.ai](https://faculty.ai/company)
2. [faculty.ai](https://faculty.ai/current-vacancies)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty)
4. [builtin.com](https://builtin.com/company/faculty-0)

## Other roles at Faculty

- [Senior Manager](https://feeny.ai/job/senior-manager-faculty-london-9651z715vzmm) — London, United Kingdom
- [Platform Engineer](https://feeny.ai/job/platform-engineer-faculty-london-f11p2az0kcse) — London, United Kingdom
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-faculty-london-79d036wwxsx4) — London, United Kingdom
- [Delivery Manager (Safety)](https://feeny.ai/job/delivery-manager-safety-faculty-london-5j0k9ctbwe6d) — London, United Kingdom
- [Frontend Engineer](https://feeny.ai/job/frontend-engineer-faculty-london-3djra6jpccye) — London, United Kingdom
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-faculty-london-czxqccttb608) — London, United Kingdom
- [Learning and Development Manager](https://feeny.ai/job/learning-and-development-manager-faculty-london-srqkx83pxwkj) — London, United Kingdom
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-faculty-london-4b4mw5w5vzj1) — London, United Kingdom
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-faculty-london-h98ke65ga8nf) — London, United Kingdom
- [Senior Manager - PE](https://feeny.ai/job/senior-manager-pe-faculty-london-3150yhf6c0qy) — London, United Kingdom