Director of Artificial Intelligence

Harnham
London
3 months ago
Applications closed

Related Jobs

View all jobs

Director of Data Science

Director of Data Science

Director of Software Engineering: Observability & AIOps

Associate Director, Data Science - Market Access

Data Scientist

Senior Data Scientist

Do you want to design and lead AI strategy across a PE portfolio?

Have you built and delivered AI/ML systems that directly impacted business outcomes?

Are you ready to work with board-level leaders to define how AI transforms financial services?


A specialist private equity firm is hiring a Principal or Director of Data & AI to lead strategic and technical AI initiatives across its portfolio of financial services and fintech companies. The firm operates internationally and maintains a collaborative, flat-structured team culture with a strong emphasis on innovation, impact, and value creation.


This role sits within their internal innovation and value creation function. You will work closely with investment teams, portfolio executives, and internal stakeholders to deploy LLMs, design AI strategies, and build capabilities that drive measurable impact across the group.


This person needs financial services/banking/capital markets domain expertise.


Key Responsibilities

  • Design and deliver AI & data strategies across portfolio companies and internal teams
  • Lead technical diligence on AI-readiness and opportunities during deal evaluation
  • Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value
  • Define governance frameworks across risk, explainability, audit, and compliance
  • Own internal AI transformation—deploying tools, platforms, and training programmes
  • Build and manage a small, high-performing AI team (strategists, engineers, architects)
  • Act as a thought leader across the portfolio, publishing insights and sharing best practices


Key Details

  • Location: London (hybrid, 2 days/week in-office)
  • Director: £120,000–£200,000 base + ~20% bonus
  • Principal: £120,000–£140,000 base + ~20%+ bonus
  • Team: 3–4 person AI team within a 100-person private equity firm
  • Tech Stack: Python, LLMs, MLOps, cloud (Azure, AWS, GCP), agentic systems
  • Visa Sponsorship: Happy to sponsor


Interested? Please apply below.

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.