AI Engineering Manager

Data Science Festival; City Of London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading technology organization is seeking an AI Engineering Manager to set strategy and lead the delivery of AI solutions. The role involves building a new function from scratch, consolidating teams, and driving real-world impact with AI technologies. The ideal candidate will have strong leadership experience and a passion for innovation in the AI space. This position is based in London with hybrid work flexibility.

Qualifications

• Proven leadership experience within data, ML, or AI engineering.
• Hands-on technical understanding of modern AI tooling, MLOps, and model deployment.
• Commercial mindset with experience bringing AI use cases into production.

Responsibilities

• Set the strategy and lead delivery for a new AI Engineering area.
• Develop practical AI solutions including intelligent agents and automation tools.
• Consolidate existing ML and AI Ops teams under one function.

Skills

Leadership in data, ML, or AI engineering

Understanding of AI tooling and MLOps

Experience in production AI use cases

Strong communication skills

Passion for AI innovation

Job description

AI Engineering Manager

Salary: £100,000 – £125,000 + bonus
Location: London / Hybrid

Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the ground up within an established enterprise.

The Opportunity

You’ll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from intelligent agents and automation tools to advanced operational AI systems. This is not a research role, it’s about turning AI into real-world impact. You’ll consolidate existing ML and AI Ops teams under one function, shaping how the organisation scales AI delivery across the business.

Skills and Experience

• Proven leadership experience within data, ML, or AI engineering
• Hands-on technical understanding of modern AI tooling, MLOps, and model deployment
• Commercial mindset, experience bringing AI use cases into production
• Strong communication skills and the ability to build and scale new teams
• Passion for AI innovation and keeping up with industry advances

If you are looking for a new challenge, please submit your CV for initial screening and more details.