Sen Infrastructure Engineer / IT Manager

Glasgow
1 week ago
Create job alert

Senior Infrastructure Engineer / IT Manager

Glasgow - Hybrid (3 days in the office)

FPSG seek an experienced Infrastructure Engineer / hands-on IT Manager to join an exciting market sector leader in Glasgow City Centre, to take ownership for the maintenance, enhancement and security for core systems.

The Sen Engineer / IT Manager will have responsibility for maintaining IT systems, policies and processes across all locations internationally. Driving system improvements and owning planning, deployment and security, also monitoring, maintaining and innovating multi-site infrastructure.

The successful candidate will have key responsibilities including the following:

Provide IT support across all locations
Implement / maintaining group-wide IT policies and processes (inc ISO 27001 and Soc2)
Maintenance and improvement of infrastructure of critical business systems
Managing Windows Server, Active Directory, LAN/WAN, Microsoft O365
Taking ownership for infrastructure improvement such as Cloud, SaaS, IaaS
Supplier management, IT procurement and managing IT operational budget.

To be successful in the role, your career will include the following:

A proven track record of IT infrastructure support and management in a similar role
Expert knowledge in Windows Server, Active Directory, LAN/WAN, DNS, O365
Knowledge of Jira, Confluence, Endpoint Security, RDS, Mimecast, Unified Comms
Exposure to Linux, Azure, Intune, Endpoint
Understanding of document management, device management and security functions
Familiarity with infrastructure transitioning from on-premises to Cloud SaaS
An understanding of IT procurement and Operational budget.
Comfort maintaining and improving ISO 27001, Cyber credentials, Soc2
A proven ability to manage and set expectations in a highly IT-literate user-base

**This post is hybrid-working with an expected 3 days a week in the Glasgow City centre office. Hence a commutable distance will be required. Travel to other national and international office may be necessary.

**Candidates may be required to meet security requirements for this role. You must have rights to live and work in the UK, have not lived outside the UK for 6 month or more in the last 5 years, and be able to gain UK security clearances. Candidates will be required to have or obtain security vetting to Baseline Personnel Security Standard (BPSS) level as part of on-boarding process.

**There is NO Visa sponsorship support available at this time

Reward

In return for your hard work, we'll offer you a salary and package that's commensurate with your experience. (Banded between £50 - 55k) Package includes Holidays, Pension, Private Medical, Insurance, EAP, Study Support etc

Key skills

IT Manager, Senior Infrastructure Engineer, Infrastructure Manager, Infrastructure Lead, Windows Server, Active Directory, LAN/WAN, DNS, Microsoft O365, Cloud, SaaS, IaaS, Jira, Confluence, Endpoint Security, Linux, Azure, Intune, Endpoint, RDS, Mimecast, Unified Comms, ISO 27001, Cyber credentials, Soc2, IOT, AI, Machine Learning

We are Disability Confident and neurodiverse aware. If you have a disability, please tell us if there are any reasonable adjustments we can make to assist you in your application or with your recruitment process

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.

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.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!