Director of Artificial Intelligence - Manufacturing & Industrial

Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Engineer

Data Analyst

Data Scientist

Data Analyst and Systems Implementation Owner

Lead Data Engineer (Azure)

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.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.