---
title: 'Learning and Development Manager at Faculty'
canonical: 'https://feeny.ai/job/learning-and-development-manager-faculty-london-srqkx83pxwkj'
type: 'job'
last_seen: '2026-09-04'
---

# Learning and Development Manager at Faculty

- **Company:** [Faculty](https://feeny.ai/companies/faculty)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/faculty/4fa6c8ff-63b3-43ac-b9c3-e394c6abec56

## 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 role

You will design the end-to-end learning experience behind our flagship Fellowship as it scales across new regions and cohorts as the Learning and Development Manager. Working closely with the Fellowship team, reporting into our Head of Talent Development, you will shape everything from core curriculum and mentor tools to building our train-the-trainer model and secondment pipeline. You will lead the transition to modular, scalable learning architecture, track high-impact outcomes, and take on emerging capability projects. This is an exciting opportunity to build sustainable, high-impact learning systems that directly empower top talent and drive Faculty’s growth.

What you'll be doing:

- Designing and evolving the Fellowship learning experience, refining the 8-week structure through data, feedback, and iterative pacing changes
- Building scalable learning architectures and modular content that seamlessly flex across regional tracks, client requirements, and future offerings
- Partnering directly with SMEs, facilitators, and ops coordinators to translate performance gaps into targeted learning pathways
- Establishing train-the-trainer curricula and delivery calibration standards to ensure consistent, high-quality facilitation across all cohorts
- Collaborate with Ops, BU Leads and People partners to ensure smooth secondments of staff to deliver fellowship program and minimise disruption to delivery teams
- Creating continuous improvement loops and reporting rhythms to evaluate fellow progression, mentor impact, and overall programme quality
- Scoping and delivering broader, non-Fellowship capability projects as strategic priorities emerge across the business

Who we're looking for:

- You bring proven experience designing, piloting, and scaling structured learning programmes for technical or early-career talent in fast-growth environments.
- You understand global learning dynamics, including how cultural nuances impact facilitators, mentors, and learners across international markets.
- You possess modern instructional design skills, with hands-on experience leveraging AI-assisted authoring tools or LXP creator platforms.
- You have a track record of building train-the-trainer models and setting robust delivery standards that maintain quality across multiple locations.
- You are experienced in secondment or mobility design, successfully navigating backfill strategies, incentive structures, and stakeholder buy-in.
- You thrive in ambiguous environments, comfortably managing cross-functional relationships, analyzing feedback loops, and taking ownership of emerging priorities.

Our Interview Process

1. Talent Team Screen (30 mins)
2. Hiring Manager Intro (60 mins)
3. Interview with Director of Operations, Fellowship (6 mins)

## 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

- [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
- [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
- [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-faculty-london-3w05crhh4hvh) — London, United Kingdom
- [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-faculty-london-4q4ndjrj1s15) — London, United Kingdom