SVP AI and Computer Vision

Fortis Executive Search

Leeds

1 month ago

Applications closed

SVP, AI and Computer Vision

📍 Europe or US (Hybrid / Remote)

We’re partnering with a global technology leader building large-scale real-time tracking and vision systems that operate across data, video, and analytics platforms worldwide.

The business is investing heavily in next‑generation computer vision infrastructure — using advanced imaging, real‑time inference, and automation to transform how live data is captured, processed, and delivered.

As SVP, AI and Computer Vision , you’ll :

Lead global strategy and execution across computer vision, ML, and data engineering.
Scale world‑class engineering and research teams across multiple regions.
Oversee the design, optimization, and deployment of real‑time tracking and visual intelligence systems.
Collaborate with C‑level stakeholders to translate technical innovation into commercial and product impact.

Essential requirements :

Proven background leading large computer vision or real‑time data engineering teams.
Expertise in object tracking, image / video processing, or large‑scale ML deployment.
Strong technical leadership and cross‑functional delivery at global scale.
Experience turning advanced R&D into production‑grade systems.

This is a high‑visibility global leadership role , reporting directly to the executive board, with ownership of a critical innovation function driving the company’s next phase of growth.

#J-18808-Ljbffr

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.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

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.

Jan 29, 2026

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.