Software and Data Engineer

NHS
Oxford
1 month ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer - Outside IR35 - Hybrid 3 Days in London

Data Engineer ( Scale Up )

Data Engineer

Senior Data Engineer

Data Analyst

Data Engineer

Software and Data Engineer

The closing date is 12 January 2026.


We are seeking experienced individuals with talent, expertise, and ambition in software engineering. We can offer the opportunity to work on innovative solutions that will transform scientific research and healthcare delivery in the NHS.


The successful candidate will work as part of the Thames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted by Oxford University Hospitals NHS Foundation Trust (OUH). They will contribute to the design and implementation of systems for data acquisition, integration, and analysis across a wide range of clinical systems and settings for this important national programme.


The tools and services they deliver will have a significant impact on the delivery of this programme. Working with academic and NHS colleagues across the Thames Valley and Surrey region, the post holders will have the satisfaction of seeing their software in use: improving patient care and supporting cutting‑edge research.


Main duties of the job

The successful candidate will make significant, expert contributions in a range of digital areas, including systems, applications and information interpretation, resolve a range of highly complex software engineering issues, take individual responsibility for strategic contributions and planning in a range of specialised areas and design, develop and adapt complex software solutions.


About us

Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals – the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury.


Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.


We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence.


These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel.


In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to the ten core principles.


Oxford University Hospitals promotes a safe, respectful hiring environment.


If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism.


Job responsibilities

Please refer to the job description and person specification for further details. Please contact Gail Roadknight, Senior Programme Manager for additional information.


Person Specification
Qualifications

  • In-depth knowledge of software engineering acquired through a combination of specialist training and relevant study (eg computer science, software engineering, mathematics) to Master's degree or equivalent level.
  • Extensive, relevant professional experience may be considered against the requirement for a degree in computer science or a related discipline (the expectation of professional, technical competence is at least that associated with a degree level education in this subject).

Experience

  • Good understanding of data models, data structures, and data formats, including JSON, SQL, and XML.
  • Experience of working with sensitive or confidential data, such as financial information or patient records.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.


Salary

£55,690 to £62,682 a year per annum / pro rata.


Contract

Permanent


Working pattern

Full‑time, flexible working, home or remote working, compressed hours.


#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.