Java Developer

Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

CAE Developer - Virtual Build

Software Engineer

Software Engineer

AI Engineer - Machine Learning LLM

AI Engineer - Machine Learning LLM

Azure Data Engineer - Java Development

Java Developer is sought on a remote basis by a market leading professional services organisation based near Birmingham.

This Java Developer would be joining the innovation arm of the business tasked with building complex, highly scalable greenfield solutions utilised by governments around the world to deliver key public services.

Due to the R&D driven culture within this team this Java Developer will be given opportunities to learn and work with the latest AI & machine learning technologies developing applications using a modern microservices, automated architecture.

With a real commitment to employee wellbeing and personal development this Java Developer can expect long term commitment to remote, flexible working and a clearing defined progression path with 4 self promotion opportunities a year alongside companywide commitment to wellbeing by providing a best in class physical and mental wellbeing program.

This Java Developer based near Birmingham should have most of the following key skills:

  • 3 years plus of Java experience
  • Strong Spring Boot framework experience
  • Strong RDBMS experience - NoSQL, MongoDB etc
  • Troubleshooting exposure - Splunk, ELK etc
  • Git version control
  • Automation experience - CI/CD, Docker, Kubernetes would be a real plus
  • TDD experience
  • Awareness of cloud technologies would be useful
  • Microservices architecture understanding

    This Java Developer will receive:

  • £65,000 - £75,000 DoE
  • Company ownership shares
  • electric company car scheme
  • long term full remote working
  • Flexible working hours
  • 4 promotion and salary review opportunities each year
  • Best in class physical & mental wellbeing scheme
  • Private pension scheme
  • Training and personal development budget and time allocation
  • Wellbeing protection (death in service, critical illness cover, income protection)
  • Extensive career progression opportunities
  • 25 days holiday plus bank holiday with holiday buy & sell scheme
  • Choice of technology
  • Season ticket loan / cycle to work scheme

    So if you are a Java Developer who likes the idea of building greenfield applications within an autonomous, innovative team that will positively impact millions of people then please apply now to be considered.

    Java Developer
    £65,000 - £75,000
    Birmingham
    Java, Microservices, AWS, RDBMS, Splunk, CI/CD, Docker, Kubernetes, Git, TDD

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.