Charge Nurse - Infectious Diseases

NHS Greater Glasgow & Clyde
Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Practitioner

Data Science Practitioner

Data Science Practitioner

Head of Data Science

Senior Data Scientist

Data Scientist, EMEA

NHS Greater Glasgow and Clyde is one of the largest healthcare systems in the UK employing around 40,000 staff in a wide range of clinical and non-clinical professions and job roles. We deliver acute hospital, primary, community and mental health care services to a population of over 1.15 million and a wider population of 2.2 million when our regional and national services are included.

In order to apply to for this position you must have a live pin with the NMC UK.

The shift pattern for this position is rotational. 

An opportunity has arisen within the Infectious Diseases ward in Glasgow’s Queen Elizabeth University Hospital for a highly motivated individual to help lead, implement & evaluate standards of good nursing care. In the absence of the Senior Charge Nurse, the charge nurse will have continuing responsibility for the management and clinical leadership of the area, including supervision, development and deployment of staff. On a daily basis you will be responsible for ensuring that you lead your team promoting & providing a high quality care. You will ensure appropriate learning opportunities are met for all staff, encouraging best practice to deliver a high quality of patient care at all times in line with the CAS standards framework.

You will demonstrate:

excellent leadership confident communication and effective organisational skills.

Evidence of personal development will be expected with a willingness to contribute to education and audit. A good understanding and knowledge of policy and procedures will be required to support the team. You will possess substantial experience at band 5 level and demonstrate a high level of IT skills.

Details on how to contact the Recruitment Service can be found within the Candidate Information Packs.

NHS Greater Glasgow and Clyde encourages applications from all sections of the community. We promote a culture of inclusion across the organisation and are proud of the diverse workforce we have.

By signing the Armed Forces Covenant, NHSGGC has pledged its commitment to being a Forces Friendly Employer. We support applications from across the Armed Forces Community, recognising military skills, experience and qualifications during the recruitment and selection process.

NHS Scotland is reducing their full time working week from 37.5 to 37 hours per week from 1 April 2024 but with no change in pay. This reduction will also be applied pro rata for part time staff. This advert and any subsequent offer/contract of employment therefore reflects the new working hours. However, as not all service areas will be able to adopt the 37 hour working week immediately from 1 April 2024, you may be required to work up to an additional 30 minutes per week for a temporary period for which you would be paid until the service you are working in changes rosters or working patterns to accommodate the new reduced working week. If you have any questions or concerns please contact the Recruiting Board.

Candidates should provide original and authentic responses to all questions within the application form. The use of artificial intelligence (AI), automated tools, or other third-party assistance to generate, draft, or significantly modify responses is strongly discouraged. By submitting your application, you confirm that all answers are your own work, reflect your personal knowledge, skills and experience, and have not been solely produced or altered by AI or similar technologies.

Failure to comply with this requirement may result in your application being withdrawn from the application process.

For application portal/log-in issues, please contact in the first instance

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.