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

Apply Now

Bank - Mental Health Inpatient Nurse

NELFT NHS Foundation Trust
Rainham
7 months ago
Applications closed

Related Jobs

View all jobs

NLP Data Scientist

Senior Platform Engineer, Machine Learning

Machine Learning & AI Engineer

Engineering Manager, Machine Learning Platform

Machine Learning & AI Engineer

Machine Learning & AI Engineer

Joining #TeamNELFT means you’ll become part of a welcoming and supportive working environment. We’re CQC rated Good, and we want you to join us on the journey towards an Outstanding rating. NELFT has sites across North East London, Essex, Kent and Medway. We provide community and mental healthcare services to adults and children within these areas.

The Trust has award winning equality and diversity initiatives and staff health and wellbeing activities. We invest heavily in your development, because when you are valued and supported, we provide the best care to our patients. We are a Level 3 Disability Confident Leader, have been featured in the Working Families Top 10 Employers benchmark for three consecutive years, and we have achieved a Carers UK Level 1 Accreditation. Along with our staff networks and training opportunities, we work hard to embed a just and compassionate culture here at NELFT.

Find out more about NELFT careers and what makes our Trust a great place to work, in this video

Job overview

We are seeking experienced Band 5 Mental Health Nurses to join our temporary staffing bank on an as-needed basis, supporting our teams and contributing to the Trust's mission of delivering "the best care by the best people."

Applicants must hold current RMN registration with at least six months of post-qualification experience. Strong written and verbal communication skills, the ability to work effectively as part of a team, and a solid understanding of mental health issues are essential. Experience in managing emotional distress with empathy and compassion is vital.

You will be responsible for assessing, planning, implementing, and evaluating all aspects of care, collaborating with multi-disciplinary teams and external agencies to ensure comprehensive care delivery. CAMHS experience is highly desirable.

Main duties of the job

Key Responsibilities include but are not limited to:

1. Operating, as named clinician, for a group of clients, under the supervision of a Team Manager.
2. Providing high quality evidence-based and individualised mental health care to a clearly defined group of patients, relatives and carers.
3. Supervising unqualified staff in the delivery of their care.
4. Working and acting as a key member of the multi-disciplinary teams, supporting each service user in achievement of planned outcomes.

Leadership:

1. To supervise unqualified staff in the delivery of care.
2. To demonstrate appropriate values to working with a mental health setting to junior staff.
3. Identify any performance concerns about agency staff and liaise with line manager when necessary.
4. Identify performance concerns about support staff working on the unit and ensure they are interacting appropriately and effectively with service users, relatives and carers at all times.
5. Facilitate students achieving their competencies relevant to their outcome.

Clinical Skills

1. Ensure that own knowledge and skills are constantly updated
2. Actively participate in clinical supervisions
3. Actively participate in management supervision
4. Be aware of the KSF outline for the post and develop and maintain a portfolio of evidence for KSF review meetings.
5. Achieve and demonstrate agreed standards of personal and professional development with the agreed time scale

Working for our organisation

We operate a Temporary Staffing service and offer our Bank Staff excellent benefits including:

Competitive hourly rates and weekly pay; Access to paid annual leave and statutory sick pay; My Trust Benefits discount scheme; Access to the NHS pension scheme; Paid mandatory training; Opportunities for locally agreed training; PAMOVA training for Mental Health staff; Flexibility of hours/location; Priority over agency staff for booking shifts; Opportunity to apply for permanent posts.

NELFT provides award winning community and mental healthcare for over 2 million people. We work to ensure our patients, their friends and family, feel confident that their health needs are well met.

We are committed to the delivering thebest carefor our patients. The successful candidate will share this commitment and demonstrate our Trust values.

Detailed job description and main responsibilities

The main duties of the post are outlined fully in the attached job description.

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.


For more information about working on the Temporary Staffing Bank please contact the Temporary Staffing Team on .

Person specification

Qualification

Essential criteria

RGN

Experience

Essential criteria

1-2 Years Post-Reg experience. Broad experience of working with adult people with mental health needs.

Skills

Essential criteria

To demonstrate ability to use effective time management and work under pressure.

Benefits

We believe in bringing your authentic and best self to work, in order to deliver the best care to our patients. We are committed to supporting our employees holistically. Here is a snapshot of what is on offer at NELFT:

A long-standing and award-winning approach to equality and diversity with supportive networks for ethnic minority staff, staff with disabilities or long term/chronic conditions and LGBT staff. A commitment to supporting colleagues to achieve a work life balance, through flexible working opportunities and our effortsto support our working parents and carers. This has resulted in us being recognised as a ‘Top 10 Family Friendly Employer’ from the Working Families Charity. Proactive health and wellbeing support, including access to our employee assistance programme, staff psychological support, individual wellbeing conversations and a network of health and wellbeing ambassadors. Detailed information about our wellbeing and benefits offer can be found in this link.

As a flexible working friendly organisation, we want to be sure that you can work in a way that is best for us and for our patients, and for you. Speak to us about how we might be able to accommodate a flexible working arrangement whether that’s a job share, part time hours or another flexible pattern.

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.