Registered Nurse - Day Surgery

East Kent Hospitals University NHS Foundation Trust
Margate
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Data Scientist (KTP Associate)

Associate Data Scientist

2026 Apprentice - Digital (Data Science) - Belfast

Job summary

We are looking for a motivated and enthusiastic nurse who enjoys working in a fast-paced environment providing a high standard of care in a stage 2 post-anaesthetic care unit. The successful applicant will work as part of a team of nurses providing pre and post-op care to patients undergoing elective surgical procedures. You must possess excellent communication and interpersonal skills and demonstrate a caring, supportive and professional attitude.

We offer a full package of benefits, including a car lease scheme; on-site childcare; generous annual leave in line with NHS terms and conditions; High Street and public transport discounts; a 24/7 staff support service - and the little things that make life easier, like on-site Amazon lockers and fresh fruit and veg stalls.

Main duties of the job

Role Specific Duties

Ensure patient episode of care is delivered in a safe and timely manner. Implement Trust policies and protocols. Maximise the use of resources within your sphere of responsibility. Ensure that quality standards of care are implemented in line with the Care Group and Trust aims and objectives. Contribute in the development and maintenance of patient information systems. Collect and enter data onto the theatre computer system in an accurate and timely way, Communicate information to relevant disciplines. Ensure confidentiality is maintained at all times in line with the Data Protection Act and your code of conduct. Ensure compliance with the Trust's risk management policies and procedures. Comply with national and local infection control policies and procedures and any other related infection prevention policies and procedures. Participate in the implementation and evaluation of new developments and be aware of service needs, quality and assurance programmes. Actively promote research awareness and participate in research based projects and participate in working groups as required. Ability to problem solve and escalate to appropriate level.

About us

We are one of the largest hospital trusts in England, with fivehospitals and community clinics serving a local population of around 800,000 people. Our vision is 'great healthcare from great people'. Everything we do is guided by our values: 'People feel cared for, safe, respected and confident that we are making a difference'. We have a new way of working at East Kent Hospitals, called 'We care'. It's about empowering frontline staff to lead improvements day-to-day. We're looking for compassionate people to be part of our improvement journey for the patients, families and carers we care for every day.

Applications for this role should be written by the applicant. If artificial intelligence (AI) programmes are used then the application may be rejected due to this document being an important part of the assessment process. This does not prevent applicants seeking appropriate support with applications should they need to for the purposes of any declared disability.

Please note that if you require a

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.