Fullstack Java Developer

Barbican
1 year ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer (Client Facing)

Full Stack Data Engineer (Client Facing)

Senior Full Stack Data Engineer (Client Facing)

Senior Full Stack Data Engineer (Client Facing)

Senior Data Scientist

Data Scientist

Avanti Recruitment is currently working with a growing Data Analytics company based in Central London that is recruiting for a Java Full-stack Developer to join their team on a permanent basis.

You will collaborate with both local and international teams, contributing to the design, development, iteration, and testing of key products, as well as the creation of new features. The company handles over 10 million transactions weekly and focuses on enhancing maintenance performance through automation and machine learning.

You will be focusing on the backend application development predominantly but you will gain exposure to the front-end using Vue.JS, so a desire to learn this or previous experience is needed. If you don’t have experience with Vue but have exposure to a different relevant web framework that is fine.

Due to the nature of the company you will have the opportunity to gain experience in different areas such as; NLP, Big Data, Mentoring, Data Visualization, and Build Management systems.

This role is an on-site position, so you must be willing to go to the office 5 days per week.

Must haves:

  • Java

  • Strong Application Development

  • Spring / Springboot

  • Experience with some relevant front-end (Vue/Angular/React) – Even as a hobby is fine

  • REST

  • Debugging / Maintaining legacy code experience

    Desirable:

  • Vue.JS

  • AWS / Azure

  • ElasticSearch / InfluxDB

  • Some front-end exposure, ideally with Vue.JS but anything else is fine (This can be used on hobby projects)

    Interview process:

  • 1st stage: Face to face meeting with the Head of Engineer at the office

  • 2nd stage: Technical assignment to complete

  • Final: Face to face interview – overview of assessment

    The salary is up to £73,000.

    If you are interested in the role, then click Apply Now! or contact Paul at Avanti Recruitment

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.

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.