Infrastructure Field Support Engineer - Liverpool

Experis
Sefton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist (Mid level)

Data Scientist (Junior level)

AI Infrastructure Engineer / MLOps Engineer

Advisory AI Infrastructure / MLOps Engineer

Lead Machine Learning Engineer

Senior Machine Learning Engineer

Location: Sefton Job Type: Permanent Industry: Cloud & Infrastructure Job reference: BBBH379355_1728381607 Posted: about 2 hours ago

The Company:

Are a leading IT Solutions and IT Services Provider with 20+ years of experience who employ over 1,000 skilled IT Professionals across the UK are a trusted leader in delivering Data-Driven solutions tailored for the Healthcare, Local Government, and many other public sector organisations.

Through their extensive knowledge in AI (Artificial Intelligence), Decision Intelligence, Advanced Analytics, Automation Solutions, they are seeking to onboard a client facing and professional IT Field Engineer / Infrastructure Engineer to support their expanding client base in the North West area.

Role Requirements:

You will require expertise in providing comprehensive hardware support, covering a range of devices such as laptops, desktops, tablets, docking stations, printers, and Multi-Function Devices (MFDs). You will have extensive experience in supporting and managing Windows 10/11 operating systems, Virtual Desktops, Active Directory, Anti-virus solutions, SCCM, InTune, and the full suite of Microsoft 365 products. You will be highly skilled in diagnosing and resolving issues related to correctly and efficiently.

Skills Needed:

Expertise in providing comprehensive hardware support, covering a range of devices such as laptops, desktops, tablets, docking stations, printers, and Multi-Function Devices (MFDs). Extensive experience in supporting and managing Windows 10/11 operating systems, Virtual Desktops, Active Directory, Anti-virus solutions, SCCM, InTune, and the full suite of Microsoft 365 products. Highly skilled in diagnosing and resolving issues related to corporate networks and IT infrastructure, ensuring minimal downtime and efficient operations. Strong proficiency in supporting a wide range of desktop applications within corporate environments, with a deep understanding of their integration with IT systems and troubleshooting potential conflicts. Familiar with Windows deployment technologies and adept at streamlining the setup and configuration of systems across an organisation. Proven track record in providing high-quality desktop and application support, including offering remote technical assistance to end users, ensuring seamless issue resolution. Exceptional attention to detail, ensuring that all technical tasks are completed to the highest standards and aligned with organisational requirements.

Your Knowledge:

Solid understanding of corporate networks and firewalls, with the ability to recognise their influence on field support activities and ensure proper functionality without requiring direct administration. Experience in assisting employees with varying levels of IT expertise, adapting communication and support approaches to meet diverse needs effectively. Knowledge of asset management practices and processes for handling redundant IT equipment, ensuring smooth transitions and accurate record-keeping. Familiarity with disk encryption software and its implementation within a corporate security framework. Outstanding customer service skills, consistently delivering solutions in a professional and approachable manner, focused on user satisfaction. Capable of managing complex, fast-paced workloads and juggling multiple priorities to ensure timely completion of tasks and projects. Exceptional written and verbal communication abilities, allowing for clear, concise explanations of technical concepts to both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with a focus on proactive troubleshooting and delivering efficient, timely solutions. ITIL V3 Foundation certification (or equivalent) is a valuable asset, demonstrating a solid understanding of IT service management best practices. Proficient in stakeholder management, fostering collaborative relationships to ensure alignment on objectives and the successful delivery of services. Passionate about driving innovation and committed to contributing to the enhancement and modernisation of public services, always seeking opportunities to improve processes and outcomes.

Reach out to Callum Hughes for more information. To discuss further call .

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.