Head of AI Engineering

Experis
Nottingham, Nottinghamshire, United Kingdom
2 days ago
£120,000 – £150,000 pa

Salary

£120,000 – £150,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
29 Apr 2026 (2 days ago)

Head of AI

Salary: £120,000-£150,000

Location: Nottingham (Hybrid - typically 3 days per week in office)

The Opportunity

This role sits at the centre of a significant UK investment to build senior‑level AI and engineering capability for a market‑leading organisation. Nottingham is being established as a long‑term hub, forming part of a wider programme to house critical technology leadership in the UK.

You will lead the creation of an AI engineering function with responsibility for how intelligent systems are designed, deployed, and scaled across enterprise and regulated environments. This is a hands‑on leadership role with genuine licence to define platforms, teams, and standards from the ground up.

What You'll Do

Set the technical vision for AI engineering across multiple products and use cases

Build and lead senior engineering teams delivering production AI systems

Own platform architecture across training, deployment, and monitoring

Partner with product, data, and domain leaders to deliver real‑world impact

Establish engineering standards appropriate for high‑trust, high‑scale environmentsWhy This Role

A flagship leadership role within a UK‑anchored AI capability programme

Long‑term sponsorship and strategic importance

Opportunity to shape how senior AI engineering is done, not just where it sits

Related Jobs

View all jobs

Head of Applied AI Engineering

Incubator for AI United Kingdom
£100,000 – £150,000 pa Hybrid Clearance Required

Lead AI Engineer

Harnham - Data & Analytics Recruitment London, United Kingdom
£85,000 pa Hybrid

Head of AI – 120k – 150k GenAI / Agentic AI – Brighton – AI-native Scale-up

Opus Recruitment Solutions Brighton, United Kingdom
£120,000 – £150,000 pa Hybrid

Head of EMEA Product Partnerships

OpenAI London, United Kingdom
£150,000 – £200,000 pa Hybrid

Lead Solutions Architect (Digital Natives Business)

Databricks London, United Kingdom

Data Engineer

Coaction Recruitment Manchester, United Kingdom
£65,000 – £75,000 pa Permanent

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.