National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Java Full-stack engineer | London - AI & Machine learning

London
7 months ago
Applications closed

Related Jobs

View all jobs

Full-stack Software Engineer

Principal Software Engineer

Data Scientist / Software Developer With Data

Data Scientist Consultant

Data Scientist Senior Consultant

Data Scientist Manager

Java Developer | AI & Machine Learning - £75k - £85k
Java, Springboot, Microservices, Vue.js, API
 
Want to work for a data-driven company utilising AI and Machine learning to process large amounts of data?

Want to work with cutting-edge technologies such as Vue.js and be full stack?
 
Perhaps, you like being part of a tight-knit team with a strong engineering culture?
 
I have partnered up with an exciting, start-up who are developing and maintaining in-house products utilising NLP, machine learning and AI. They have created a tech centric team with ambitious Java full-stack engineers and need another x3 to join their team.
 
As a Full-Stack Engineer, you'll be designing and building a complex, multi-service application. You'll work on everything from backend data processing pipelines to the frontend user interface, powered by Vue.js. Their applications are deployed and scaled on AWS, while data processing tasks are automated with Jenkins. Security is paramount, so you'll be involved in regular security reviews and audits.
 
As a full stack engineer, you will be coding away in Java 21, Springboot, Microservices, AWS, API, Vue.js, machine learning and automation.
 
Interested in learning more? Or know a friend who might be? Salary in the range of £70k - £85k, plus range of benefits, bonus, and two-stage interview process in place. 
 
This software team are actively interviewing developers right now, so please get in touch via Rebeka .mulk @ (url removed) or add me on Linkedin – Rebeka Mulk @ Opus recruitment solutions to have an informal chat. This role is based in London.
 
Please note, we cannot sponsor for any roles, currently

National AI Awards 2025

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 Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

Jobs

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

🍪 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.