Director of Artificial Intelligence

Harnham

London

5 months ago

Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Associate Director, AI & Advanced Analytics

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.

Industry Insights

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

Apr 8, 2026

Products

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.

Mar 24, 2026

Jobs

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.

Feb 9, 2026

Careers

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.