SVP Delivery, EMEA

Quantexa
London, United Kingdom
Today
£150,000 – £200,000 pa

Salary

£150,000 – £200,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
28 Apr 2026 (Today)

Benefits

25 days holiday Pension Private healthcare
Share
Save job
Create job alert

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we go. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

At Quantexa, our project Delivery teams are central to our clients' success, enabling them to adopt our technology effectively for multiple use cases including financial crime and customer lifecycle management. Given the global nature of our client base, teams are often internationally distributed with all projects delivered in line with agile principles and governed by a consistent delivery framework.

To deepen our strategic commitment to the EMEA region, we are appointing an SVP of Delivery. In this role, you will be responsible for leading the Quantexa Delivery organization in the region and ensuring the highest standard of client success.

Our EMEA Delivery team is currently based in London, Liverpool, Malaga, and Dubai, supporting the wider Middle East region, with Malaga operating as a Centre of Excellence for EMEA. As our client base continues to grow, this footprint will evolve. You will be responsible for shaping, aligning, and executing the regional Delivery strategy.

The EMEA Delivery team you will lead is currently structured as follows:

  • Three Delivery Managers – each overseeing a portfolio of client projects.
  • Four Regional Practice Managers – covering Tech Lead & Data Engineering, Solution Architecture, Project Management, and Business Analysts, responsible for the line management of regional staff.

What you’ll be doing.

  • You will report directly to the COO, playing a key role in defining the strategic direction of the Delivery function and driving the achievement of its regional and organisational objectives.
  • You will be leading the EMEA Delivery team setting strategy and providing a strong sense of direction, belonging and well-being. In line with our culture, you will be proactive in managing performance and wellbeing issues with support from a dedicated People Partner.
  • You will provide leadership and strategic oversight of the EMEA Delivery team, driving performance and development through the Regional Practice Managers.
  • In partnership with your Delivery Managers, you will engage directly with clients across the region, ensuring the successful deployment, enhancement, and ongoing support of technology systems using Quantexa technology.
  • You will support all areas of the Quantexa business across EMEA, driving the expansion of our offerings and partnering with Delivery and GTM teams to enable successful implementation projects using our technology
  • You will provide visible leadership and presence across our key EMEA Delivery offices.

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.

🍪 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.