Delivery Manager (AI Safety)

Faculty
London, United Kingdom
2 months ago
Job Type
Permanent
Posted
4 Feb 2026 (2 months ago)

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


Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions.

We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.

About the role

As a Delivery Manager within our AI Safety team, you’ll own the end-to-end success of high-impact AI projects for our clients focusing on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space.

You will be the crucial link between our customers and our dedicated data scientists to translate cutting edge AI safety research into actionable changes as well as model red teaming and safeguard testing with labs like OpenAI and Anthropic into strategic, impactful solutions.

What you'll be doing:

  • Owning the end-to-end delivery of customer projects, from initial scoping to final implementation

  • Collaborating with technical teams, and customers, to design innovative AI solutions that solve their challenges and leverage opportunities

  • Managing project development and ensuring a delivery approach that provides maximum value to the customer

  • Forming strong, trusting relationships with customers, internal safety data scientists, and technical partners, including frontier labs.

  • Developing and executing compelling proposals to grow our AI safety and governance work across a wide range of sectors.

  • Advising clients on AI safety strategy and technical implementation, acting as a trusted partner and consultant.

  • Developing and mentoring your peers’ taking a proactive role in building good processes and practices

Who we're looking for:

  • You bring a passion for Applied AI safety, possibly from your experience within labs, academia, or evaluation/red teaming roles.

  • You have previous experience in professional services, ideally from a consulting, technology, or data background

  • You take full responsibility for the successful delivery of your projects, from initial scoping to end-user adoption

  • You are an exceptional communicator, with outstanding written and verbal skills, and experience managing senior stakeholders

  • You are comfortable working with technical teams and have experience delivering technical projects, ideally in AI

  • You are a practical problem-solver, identifying potential issues and proactively implementing solutions

The Interview Process

  1. Talent Team Screen (30 minutes)

  2. Introduction Interview (60 minutes)

  3. Case Study Interview (60 minutes)

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.

Some of our standout benefits:

  • Unlimited Annual Leave Policy

  • Private healthcare and dental

  • Enhanced parental leave

  • Family-Friendly Flexibility & Flexible working

  • Sanctus Coaching

  • Hybrid Working

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.

Related Jobs

View all jobs

Delivery Manager

Faculty London, United Kingdom
Hybrid

Team Manager (Evening Shift), Artificial General Intelligence – Data Services

Amazon London, United Kingdom
Permanent

Engineering Manager (Avatars)

Synthesia London, United Kingdom
Remote

Engineering Manager (Growth)

Synthesia London, United Kingdom
Remote

Senior Manager - Insurance

Faculty London, United Kingdom
Permanent

Senior Manager (AI Safety)

Faculty London, United Kingdom
Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.