Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Community Nurse (District Nursing) - Older Peoples service

NHS Scotland
Glasgow
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Operations Strategy team

Statistician / Data Scientist (Healthcare)

Senior Research Fellow in Epidemiology and Data Science

Data Scientist - Operations Strategy team

Head of Data Science

Data Scientist - Operations Strategy team

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.


The shift pattern for this position is Days, PH, Weekends and OOH shifts.

The role of community staff nurse will be responsible for the support and management of a caseload of community patients, working in partnership with the District Nurse to assist leading and managing a team of qualified nursing staff and health support workers. You will function as an independent autonomous practitioner by virtue of in-depth knowledge, expertise, proficiency and experience to provide a high quality nursing service. You will be responsible and accountable for the ongoing management of patient to ensure the assessment, planning, implementation and evaluation of programmes of care. These will be developed in partnership with patients, family, carers’ and significant others, and will be evidence based taking into consideration the lifestyle, race, gender and cultural background, and factors which impact on physical, mental or emotional health. It is essential that you are currently a Registered Nurse with the NMC PIN up to date. This post requires membership of Disclosure Scotland's PVG Scheme.

Informal contact:Jennifer Mather, Nurse Team Lead, ,


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 contactJobtrain support hubin 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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.