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

Apply Now

KDB Developer

London
6 months ago
Applications closed

We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.

Our investment banking client has been present in the UK for more than 150 years, they're a long-term partner to British business. Today, the Group is formed of 10 divisions and employs 9,300 staff based in 21 core locations right across the country. Their role is simply stated: help clients achieve their goals by combining local know-how and global reach. In so doing, they seek to make a positive, sustainable contribution to both the UK economy and society.

On behalf of this organisation, AMS are looking for a KDB Developer for an initial 6 month contract based in London with remote work available (Hybrid).

Purpose of the Role:

As a KDB developer you will play a crucial role in supporting the clients financial technology team by gaining hands-on experience in developing and maintaining KDB+/q applications.

As a KDB Developer you will be responsible for:

Collaborate with the development team to design, code, test, and implement KDB+/q solutions for efficient data processing and analytics.
Assist in the maintenance and enhancement of existing KDB applications, ensuring optimal performance and reliability.
Analyze and optimize KDB queries for improved performance and responsiveness.
Identify and address bottlenecks in data retrieval and processing.
Document code, processes, and procedures to ensure knowledge transfer and maintain a comprehensive record of development activities.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand requirements and deliver effective solutions.What we require from the candidate:

Familiarity with KDB+/q technologies.
Strong analytical and problem-solving skills.
Experienced of analysing and presenting data for end-users and applications.Next steps

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

This client will only accept workers operating via an Umbrella or PAYE engagement model.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 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.