Senior IT Engineer

Workington
10 months ago
Applications closed

Related Jobs

View all jobs

Data Science Engineer

Senior Data Analyst

Senior Data Analyst

Graduate Data Science Consultant

Contract Data Engineering Manager

Senior Data Engineer, Azure

My client is known for its market leading innovative digital aerial surveys which have been deployed in ten countries. We are expanding across all of our services, combining technical and scientific excellence, and its crucial to the company that we continue to lead in the innovation of new products, based upon credible science, and deliver all of our services in a consistent and efficient manner. We work on a range of projects from our digital aerial surveys, ornithological and marine mammal statistical analysis and research and development projects in fields such as machine learning and artificial intelligence.

Our Vision: to provide trusted, high quality environmental data, analysis, and consultancy to support decision-making for the renewables industry and conservation.

Our Mission: to be a leading marine environmental consultancy for the global offshore renewables industry.

Our Values: our shared values – Innovative, Supportive, and Honest, sit at the heart of our company culture and impact everything we do.

Quality lies at the heart of my clients services and following a growth of business the company is looking to recruit a Senior IT Engineer to join our busy IT team. This position within the company offers significant opportunities for the right person who will be enthusiastic, methodical, diligent, and an excellent team player with effective communication skills and a willingness to learn.

Location: this role is based at Head Office in Lillyhall, Cumbria – or at any other location as deemed reasonably necessary. Occasional travel outside of the UK may also be required.

The Role:

  • Designing, implementing, and maintaining IT infrastructure, including networks, servers, storage, and enterprise systems, ensuring high availability, performance, and security;

  • Managing virtualisation environments, particularly VMware vSphere Enterprise, optimising resource allocation and system efficiency;

  • Implementing and maintaining cybersecurity best practices, including firewalls, endpoint security, and encryption, while ensuring compliance with GDPR, ISO 27001, and internal security policies;

  • Monitoring and responding to security incidents, vulnerabilities, and threats, taking proactive measures to protect company assets;

  • Automating IT processes using tools like PowerShell, Ansible, or SCCM to improve efficiency and reduce manual workload;

  • Developing and maintaining disaster recovery plans and backup strategies, regularly testing recovery procedures to ensure business continuity;

  • Troubleshooting complex IT issues, including system failures, network outages, and performance bottlenecks, while serving as an escalation point for unresolved problems;

  • Overseeing configuration management, ensuring systems are consistently documented, monitored, and maintained for stability and security;

  • Managing software and hardware updates, including patches, firmware, and upgrades, to maintain an optimally performing IT environment;

  • Collaborating with business units and external vendors to procure, implement, and support IT solutions aligned with business needs;

  • Maintaining comprehensive IT documentation, including configurations, processes, standard operating procedures (SOPs), and system architectures; and

  • Contributing to IT strategy and roadmaps, identifying new technologies to improve efficiency, security, and system resilience while escalating critical issues to the Head of ICT when necessary.

    The successful candidate will need:

    Qualifications

  • Minimum HND in IT, Computer Science, or a related field; and

  • Industry-standard certifications are desirable (e.g., VMware VCP, Microsoft MCSA/MCSE, ITIL).

    Skills & Knowledge

  • Strong experience with virtualisation technologies, particularly VMware vSphere Enterprise;

  • Knowledge of automation tools (e.g., PowerShell, Ansible, SCCM) for IT process automation and configuration management;

  • Experience with configuration management solutions, ensuring system consistency and reliability;

  • Solid understanding of Microsoft technologies, including Windows Server, Active Directory, and Office 365;

  • Strong networking knowledge, including VLANs, QoS, routing, and firewall configurations;

  • Experience with enterprise backup solutions and disaster recovery best practices;

  • Knowledge of security principles and compliance standards; and

  • Ability to troubleshoot complex IT issues and provide clear technical resolutions.

    Experience

  • Proven experience in an IT infrastructure support role, ideally within a multi-site environment;

  • Experience with managing virtualisation platforms in an enterprise setting;

  • Demonstrated experience in automating IT processes using scripting or automation tools;

  • Hands-on experience with configuration management to maintain system stability; and

    Exposure to enterprise IT projects, such as cloud migrations, infrastructure upgrades, or security improvements

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.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.