GQA Artificial Intelligence Certification Lead

BSI
1 year ago
Applications closed

Great that you're thinking about a career with BSI!

Job Title: Global Quality and Accreditation Artificial Intelligence Certification Lead

Reports to: GQA Technical Manager

Location: Netherlands, UK, Germany, Italy, France, Spain

Job Advertisement

An excellent opportunity to contribute to AI safety, regulation and advancement in a well-established and globally respected organisation!

At an exciting time in the development of our Artificial Intelligence (AI) business, we are looking for a Global Quality Assurance (GQA) AI Certification Lead. 

This role provides accreditation leadership to our AI certification body, notified bodies and quality management teams globally. Main elements include:

Managing the ISO 42001 scheme globally within ISO 17021 and other applicable accreditation requirements, as well as related regulated schemes (e.g. EU AI Act). Providing policy, input and expertise on AI management systems and developing related certification schemes. Leading improvement projects.

You may be just who we are looking for if you have:

A degree or equivalent in Data Science, IT, AI/ML, Maths, Physics, Engineering, Cybersecurity, Statistics or similar subject. aMINIMUMof 2 years’ experience in AI applications, together with a further 2 years’ experience in IT or data protection. experience in accredited management system certification a good understanding of Information Security Management systems (ISO/IEC 27001) and an awareness of AI Management Systems (ISO/IEC 42001) and AI legislation a good understanding of statistics, software developing processes and technologies including algorithms, methods, processes and tools that fall under AI/ML An excellent standard of business English language, both written and oral

Travel Requirements:

The role is home based, with travel for supporting of training delivery, regulator/accreditor audits and for individual training. Additionally, opportunities should be taken to attend or speak at events that will support continuing professional development. Typically, this should constitute no more than 20% of your time, although this may initially be higher during the initial learning phase of the job role. The candidate should hold and maintain a valid passport.

Do you believe the world deserves excellence?

As the leading global business standards company BSI helps 80,000 clients worldwide to improve their businesses. From business continuity to recycling waste, from medical devices to the exploration of space, we help businesses embed the habits of excellence so that they perform better, manage their risks more effectively and achieve sustainable growth and in doing so we touch the lives of many across the globe.

Our Excellence Behaviours: Client-centric, Agile, Collaborative. These three behaviours represent how we do things at BSI. They help us ensure that BSI is a great place to work and a highly successful business.

#LI-BH1

#LI-Homebased

Our Excellence Behaviours: Client-centric, Agile, Collaborative. These three behaviours represent how we do things at BSI. They help us ensure that BSI is a great place to work and a highly successful business.

BSI is conducting face-to-face interviews where appropriate and possible. If you are invited to a face-to-face interview but feel more comfortable with conducting the interview virtually, please speak to a member of our recruitment team.

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.

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.