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

Apply Now

Software & Systems Integration Engineer

Gateshead
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer

Data Science Specialist

Data Engineer – use your expertise to integrate, analyse and visualise data from our Defence cu[...]

Data Engineer

Senior Data Engineer

A Systems Integration Engineer with experience of delivering IT, Network and Software services is needed by a Gateshead based company

This is a key role in a new business unit delivering IT solutions to customers. You will be responsible for integrating and delivering software systems, including requirements management, test environments & platforms, system integration, test, QA, and release process. You will also carry out analysis and diagnosis of IT / software problems, providing recommendations and implementing corrective solutions as required.

Your main Tasks and Responsibilities will include: -

Data engineering from field devices through to the software applications
Configuration of IT infrastructure
Prepare Functional and Test Specifications and agree with customers
Interface with customers on all technical elements and schedules
Engage with sub-contractors and external suppliers for integration of project elements
Building and configuration of customer software
Software integration testing
Releasing customer software complete with software release notes
Software installation and support on customer environments
System testing including device testing, integration testing, FAT, commissioning, and SAT with documented results
Creating appropriate documentation for both internal and external use
Troubleshooting application and system issues across a broad range of IT and communication systems with an emphasis on Linux environments, virtualisation, security, and networking
Provision of after-sales support for projects, including on-site supportThe successful candidate will have a degree in Software Engineering or Computer Science and a background in software / IT systems background, with a good knowledge of server virtualization, web-services, and Linux OS an advantage. A good track record of delivering IT/Software/Automation systems and experience of AWS environments including set up and maintenance, network communications, routing protocols and VPNs coupled with experience of a wide range of tools such as GIT, JIRA, Confluence etc are essential to success within this role

You will need to be organised, self-motivated and have a good focus on processes and quality assurance of software. Excellent communication and interpersonal skills, attention to detail and the ability to work under pressure and resolve issues inside SLA requirements is essential

This is an exciting and varied role within a company who are expanding their service provision to deliver network & software solutions within the engineering sector

If you would like more information on this interesting role please call Adam Jones at Major Recruitment or click Apply Now to send your CV

INDJB

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.

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.

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.

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.