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

Apply Now

Java Software Engineer

Dorchester
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Software Engineer - Full Stack (LLM) in London - Aquent

Junior Data Engineer in Cardiff - Admiral

Senior Software Engineer - Data Engineering Team

Senior Software Engineer, Machine Learning

Software Engineer II, Applied Machine Learning

Software Engineer - Graph Data Science

Copello have partnered with an established defence engineering business based in Dorchester, in the recruitment of a Software Engineer.
Knowledge, skills required:

  • Proven ability to support or lead software developments
  • Knowledge and understanding of Software Engineering
  • Preferably have an understanding of military systems, in particular maritime systems
  • Understanding of Open Systems Architectures and Principles
  • Experience of Software Engineering Lifecycle processes and tools
  • Ability to expand knowledge into new domain areas, work across domains and see the bigger picture
  • Good written skills including technical report writing, ability to communicate with both experts and non experts
  • Ideally the candidate will have experience in one or more of the following domain areas:
    • Maritime Combat Systems, integration of equipment and software
    • Command and Control Systems
    • Hardware and software network design, implementation and management
    • Acoustics / Sonar
    • RF communications
    • Autonomy, AI, Machine learning
    • Data management
    • Engagement modelling
    • Software Safety (DEF STAN 00-56 & IEC 61508 or equivalent)
      Desirable software/system skills:
  • Java / JavaFX / Netbeans
  • Requirements management (DOORS experience desirable)
  • UML / Enterprise Architect for system design
  • Unit Testing / JUnit / CppUnit
  • HMI design and development
  • Atlassian Toolset
  • Network protocols
  • Databases
  • ISO 9001 and TickITplus standards
    This business offers great progression opportunities, a competitive salary and bonus package. This position will be based in Dorchester 4 days a week, with flexible working hours

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.