Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director of Artificial Intelligence - Manufacturing & Industrial

Birmingham
4 months ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Expressions of interest: artificial intelligence humanities sandpits: Canada, UK and US

Associate Director Real World Data Science

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Data Science Manager

Artificial Intelligence Engineer

Director of Artificial Intelligence – Manufacturing & Industrial Systems

We’re representing a global manufacturing group investing heavily in AI and data-driven transformation. With a footprint across automotive, aerospace, and precision engineering, the business is embedding AI across predictive maintenance, process automation, and real-time analytics.

As they scale, they’re seeking a Director of Artificial Intelligence to drive enterprise-wide AI integration – from proof-of-concept to full deployment – working cross-functionally across operations, supply chain, and executive leadership.

Key Responsibilities:



Own and lead the AI strategy across industrial applications, driving long-term innovation and commercial impact.

*

Build and manage a high-performing AI team including Data Scientists, ML Engineers, and external partners.

*

Collaborate with manufacturing, engineering, and C-suite leaders to identify business-critical AI use cases.

*

Oversee AI/ML model development, deployment, and lifecycle management across complex manufacturing systems.

*

Lead vendor selection, tech stack decisions, and budget for AI transformation.

Experience Required:

*

Proven leadership in AI within manufacturing, industrial automation, or automotive environments.

*

Hands-on understanding of ML, deep learning, computer vision, or time-series data analytics.

*

Strong background with tools like Python, TensorFlow, PyTorch, and data pipeline architecture.

*

Experience delivering AI at scale — from concept through implementation and post-deployment optimization.

*

Excellent stakeholder management across technical and non-technical teams.

What’s on Offer:

*

Strategic global leadership role within a business committed to AI-led transformation.

*

Opportunities for board-level interaction and influence.

*

Competitive salary + long-term incentives + autonomy to drive innovation.

*

Career-defining projects that push the boundaries of smart manufacturing.

Apply Today
Ready to transform industrial performance through AI? Submit your CV and we’ll be in touch for a confidential discussion. Only applicants with demonstrable AI project experience in a commercial environment will be considered

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.