At a Glance
- Tasks: Build AI solutions that enhance patient care and streamline hospital operations.
- Company: Join Milton Keynes University Hospital, a leader in NHS digital innovation.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to innovation and career advancement.
- Why this job: Make a real impact on healthcare by developing cutting-edge AI technologies.
- Qualifications: Passion for technology and problem-solving; experience in software or automation is a plus.
The predicted salary is between 37035 - 45265 £ per year.
Hours: 37.5 per week, all MKUH roles will be considered for flexible working.
Build AI that makes a real difference. Imagine building AI that helps doctors spend more time with patients. Creating automations that remove thousands of hours of repetitive administration. Developing intelligent solutions that improve patient care across an entire NHS hospital. That’s what you’ll be doing here.
Milton Keynes University Hospital is one of the UK’s leading digitally mature NHS organisations. We have a modern Oracle Health Electronic Patient Record, cloud-first infrastructure, integrated clinical systems and an ambitious vision to become one of the UK’s most AI-enabled hospitals. You can help turn that ambition into reality.
Working as part of our growing Digital Innovation team, you’ll design, build and support AI solutions, intelligent workflows and automations that solve genuine operational and clinical problems. You’ll work with technologies such as:
- Microsoft Power Platform
- AI Agents
- Robotic Process Automation
- APIs and system integration
- Oracle Health AI capabilities
- Workflow automation
If you want your code to have a visible impact on patients, clinicians and the future of healthcare, we’d love to hear from you.
Please note that we are not able to offer sponsorship for this role.
Every week will be different. One day you might be automating a clinical process. The next you’ll be building an AI assistant for staff, integrating systems through APIs, experimenting with new technologies or working directly alongside clinicians to solve problems that have frustrated them for years. You’ll have the freedom to innovate, test ideas and introduce new technologies, while working within the governance and standards expected of one of the UK’s leading NHS digital organisations.
We’re looking for someone who’s naturally curious, enjoys solving problems and loves building things. You might come from software engineering, automation, data engineering, AI development, Microsoft technologies or another technical discipline. What matters most is your passion for using technology to improve people’s lives.
This is an opportunity to work with experienced digital leaders who believe in innovation, invest in technology and actively encourage experimentation.
To design, configure, develop, test, implement and support AI and automation solutions across Milton Keynes University Hospital, enabling safer, more efficient and more reliable clinical and operational workflows.
As a medium sized general hospital, we provide a full range of general medical and surgical services, including a busy Emergency Department, Maternity, and Paediatrics. As the population of our city and surrounding areas continues to grow rapidly, we are expanding and enhancing our facilities to meet rising demand and improve access to care for all our communities. We are also proud to offer a growing portfolio of specialist services.
The post holder will provide specialist technical advice, investigate complex AI and automation issues, contribute to the Trust AI and automation roadmap, and ensure solutions are developed and operated in line with clinical safety, information governance, cyber security and Trust standards.
Provide specialist advice on AI and automation design, configuration, testing, deployment and support to digital teams and service users. Communicate complex and multi‑stranded technical information clearly to clinical, operational and non‑technical colleagues. Negotiate requirements, priorities and practical delivery options with service teams, suppliers and technical colleagues. Develop and deliver demonstrations, guidance, training and handover materials for AI and automation solutions. Analyse, investigate and resolve complex AI, automation, workflow, data, integration and system issues. Assess user requirements, process variation, data quality, error conditions, model/tool limitations and operational risks. Compare technical options and make recommendations based on safety, security, usability, maintainability, cost and benefits. Identify and elevate risks relating to clinical safety, information governance, cyber security, bias, equality or supplier performance. Plan and organise specialist AI and automation development activity across multiple workstreams and service areas. Produce technical plans, estimates, test plans, implementation plans, rollback arrangements and support documentation.
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