Software Engineer

Occuity
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer III - MLOps

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineering Manager – Machine Learning

Lead Software Engineer - MLOps

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

About Occuity

At Occuity, we are pioneering ground-breaking technological solutions to alleviate some of humanity’s greatest healthcare challenges by developing technology that takes instant health diagnostic information simply by looking in the eye. With our clear vision and values, a world-leading team of experts, 9 international patents and more pending, we are developing a hugely innovative range of products that will improve the lives of millions of people around the world. Healthcare challenges are there to be solved and at Occuity, we have the vision and the technical ability to succeed. Occuity’s aim is for our accessible, non-contact, mobile diagnostic health devices to make repetitive, invasive monitoring a thing of the past.

At Occuity, we value being at the forefront of cutting-edge technology and we have an incredible team of people helping us do just that. Our employees are excited to be part of a team that thrives in a culture of innovation and imagination. Our success means that we are now expanding at a rapid pace and we are seeking truly exceptional people to join our team. We are looking for trailblazers, visionaries and the naturally inquisitive; those who can challenge and who can inspire. At Occuity, every single person has a voice - and a vital contribution to make to our success.

If this sounds like you, why not join us on our journey?

The Role

As part of our ambitious growth plans, Occuity is seeking a Software Engineer to drive the development of a new generation of transformational diagnostic medical devices. These devices use novel optical methods to identify signatures of chronic and systemic diseases Alzheimer’s disease and diabetes).

The applicant will work with scientists and engineers to design and develop the software to control devices and instruments, run experiments and control clinical devices. The role will involve designing and implementing software control of prototype medical instruments and components cameras, detectors), and developing suitable user interfaces. This includes all stages of development from the definition of the software requirements and specifications to the choice of the technologies, software architecture and programming languages. You will be working as part of a diverse team of engineers and scientists. 

This is a great opportunity for someone looking to take full ownership of the software architecture and development at an early stage and drive the project forward. In addition, this role offers future opportunities to work on the development of novel data processing methodologies, neural networks and AI applied to medical data.

Key Duties and Responsibilities

Writing and maintaining code specifications and requirements Designing whole code platforms and architecture Ensuring code integrity and documentation Ensuring continuous development through automated testing Developing and enforcing coding guidelines Managing software release and versioning Implementing control protocols for instruments and devices cameras) Developing user-friendly control and display interfaces Implementing data analysis and data processing protocols
Documentation of code

This role offers a unique opportunity to be an integral part of a growing, innovative and award-winning company with experience of bringing medical devices to the market. The candidate will be involved in many aspects of the business and therefore will significantly broaden their experience and allow them to grow with the company.

Experience, Skills and Qualifications

Essential

1st or Honors degree in Computer Science, Software Engineering or similar 2-4 years of experience of software development Low level programming language (such as C, C++) for embedded software and real-time hardware interface High level programming language (such as C#, Python) for control software and user interface Version control using Git, SVN or similar Strong written and verbal communications skills Test-driven software development  Agile software development

Desirable

Experience of developing medical software Knowledge of medical device directives, standards and regulatory frameworks MDD, EN60601, ISO13845) Real-time data processing Microprocessor programming FPGA programming High performance data management and storage HD5) Big data, convolution neural network experience Experience controlling optical and photonics equipment cameras, lasers) Experience with Micro-manager Experience designing platform architecture to control devices

Personal Attributes

You are looking to work on projects that have a lasting impact on our society and people, bringing revolutionary devices to healthcare that have the potential to save lives and improve the quality of life for people suffering with long terms conditions Enthusiastic and passionate, you are a keen analytical thinker and problem solver  Self-motivated, persistent and collaborative, you have a “can-do” attitude and approach A keen eye for detail Tenacious and persistent with a determination to go the extra mile to see all projects through to completion Equally capable of working independently or as part of a team An excellent communicator, you are adept at information sharing and contributing towards an open, positive team atmosphere

Equality and Diversity

Occuity is committed to encouraging equality, diversity and inclusion among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best.

Further details on our Equality, Diversity and Inclusion policy can be found online.

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.