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

Apply Now

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

London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment

Junior Data Engineer: Build Scalable Data Pipelines

Full Stack Data Engineer

Machine Learning Engineer

Data Engineer

Senior Data Engineer

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

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.