Registered Nurse - Trauma and Orthopedic

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

Related Jobs

View all jobs

Senior Machine Learning Engineer

Staff Machine Learning Engineer

Job summary

Do you want to work for one of the UK's largest Trusts, situated in the heart of the "Garden of England", just a stone's throw from London and with easy, fast access to France and beyond?

Are you a Registered Nurse, a newly qualified Nurse, or training to be a Nurse? Are you looking for an exciting and interesting role, working with a multi-disciplinary team who are committed to delivering high quality and safe patient care? If you are motivated, dedicated, passionate and looking for a new challenge to enhance your personal and professional development, then we would love to hear from you!

We are a 24 bedded, Elective Orthopaedic Ward, who officer great development opportunities for you to flourish within this role, as well as career development.

We have a strong team, who will support you to develop and gain excellent experience in delivering compassionate and safe care.

We have created a positive learning experience for staff with our links to Fracture clinic, EOC, SAL, and Theatres.

We are also dedicated to provide education and training to support you with your CPD, with our links to Canterbury Christ Church Uni and in-house nurse development team.

Main duties of the job

Registered Nurse with Trauma and Orthopaedic skills

To provide effective patient care whilst working as a member of the nursing team across East Kent Hospitals NHS Trust. To ensure the maintenance of high standards of patient care in response to service needs

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.