Discover the advantages of Advanced Independent Practice - Advanced Institute of Urology (AUI) - powered by Urology Alliance. 

As a member of Urology Alliance (UA), Advanced Institute of Urology (AUI) is supported by the nation’s leading patient-focused, excellence-driven physician-led urology network. This partnership empowers Advanced Institute of Urology (AUI) to deliver superior, individualized patient care by leveraging  Urology Alliance’s robust, world-class business and organizational support, ensuring our physicians can focus on what they do best – providing top-notch care in a successful and dynamic private practice setting. 

Job description

Role Overview 

The Software Engineer will play a vital role in the design, development, troubleshooting, and debugging of software programs for both our existing product line and new innovations. This position involves developing software and tools that support design, infrastructure, and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, and cloud-based or Internet-related tools. Additionally, the engineer will assess hardware compatibility and its influence on hardware design.

We are particularly keen on candidates who possess experience in embedded software development for this role.

Key responsibilities for this role include:  

• Design, develop, and maintain scalable systems software and platform tools to support new product development
• Build and enhance high-performance applications using object-oriented programming languages such as Python and Rust.
• Develop data processing pipelines, analytical models, and optimisation algorithms using scientific computing libraries including NumPy, SciPy, TensorFlow, and PyTorch.
• Create intuitive data visualisation and monitoring tools using Matplotlib, PyQtGraph, and related frameworks to support engineering and operational decision-making.
• Design and implement responsive desktop user interfaces using Qt, PySide6, and QML, ensuring strong usability and user experience standards.
• Troubleshoot, debug, and resolve complex software and system issues across development, testing, and production environments.
• Collaborate with cross-functional engineering teams to influence system architecture, software design, and hardware compatibility decisions.
• Develop and maintain deployment pipelines and release automation processes using Azure DevOps Pipelines, PyInstaller, and CI/CD best practices.
• Implement robust software quality assurance practices, including automated testing, static analysis, and code quality validation using pytest, mypy, and pylint.
• Participate in agile software development processes, including sprint planning, backlog refinement, and technical documentation using Jira and Confluence.
• Manage source code, branching strategies, and peer code reviews using Git, Bitbucket, and related version control tools.
• Contribute to the continuous improvement of software engineering standards, development workflows, and testing methodologies.
• Support the full software development lifecycle from requirements gathering and prototyping through deployment, maintenance, and enhancement.
• Work closely with stakeholders to translate technical and operational requirements into reliable and maintainable software solutions.

We are ideally looking for someone with the following skills and experience:

• Strong object-oriented programming experience with Python and related modern development practices.
• Experience developing data analysis workflows, optimisation routines, and algorithms using scientific computing and machine learning frameworks including NumPy, SciPy, Jupyter, TensorFlow, and PyTorch.
• Proficient in creating data visualisation and analytical reporting tools using libraries such as Matplotlib and PyQtGraph.
• Experience designing and developing desktop user interfaces and user experiences using Qt and PySide2/PyQt5 frameworks.
• Knowledge of software packaging, deployment automation, and CI/CD processes using tools including PyInstaller and Azure DevOps Pipelines.
• Proficient in version control, branching strategies, and collaborative development workflows using Git, Sourcetree, and Bitbucket.
• Familiarity with Agile software development methodologies, issue tracking, sprint planning, and technical documentation using Jira and Confluence.
• Strong understanding of software quality assurance, automated testing, static analysis, and validation frameworks including pytest, mypy, pylint, Xray, and TestRail.

We know there is no such thing as the perfect candidate and that there is great value in transferrable skills, so please don’t feel you have to tick all of the above boxes to apply!

Why work for Refeyn?

Compensation and core benefits

• We anticipate a base salary of £45,000 to £60,000 for this role, depending on candidate experience 
• 25 days annual leave per year in addition to bank holidays
• Up to 7% employer matched pension contribution
• Private health insurance from day one plus critical illness cover, income protection and life insurance
• Give as You Earn and Cycle to Work salary sacrifice schemes.
• Annual Company and Individual bonus scheme 
• Paid volunteer day

Family Friendly Benefits

Refeyn offers YellowNest Nursery Scheme to all employees once probation is passed, and new parents can benefit from up to 17 weeks fully paid maternity, adoption and shared parental leave, 4 weeks fully paid paternity leave, plus an annual allowance for emergency childcare.

Supporting your Development

All employees receive access to Linkedin Learning which offers thousands of courses to support their personal and professional development. We also run frequent training sessions on both hard and soft skills.

Creating an Engaging Culture

Refeyn supports hybrid working where the role allows and offers flexible start and finish times. We also have a subsidised weekly lunch for onsite employees and a vibrant social calendar which includes holiday parties and midsummer festivals plus an annual team budget for managers to plan team-building activities.

Values-Led 

Refeyn is committed to celebrating each other’s differences and creating a dynamic, driven and diverse culture where everyone can flourish. We are proud to have been awarded Committed Status by the Inclusive Employers Standard in 2024 and are working hard to create a safe and empowering environment for all.

We firmly believe that there is great strength in building teams with different voices, experiences, perspectives, and backgrounds so that we can continue to share the team workload and enable our customers to succeed, and we welcome applicants from all sections of society to join us on our mission to advance discovery through innovation. 

Refeyn is proud to use anonymised hiring practices. Identifying information such as a candidate's name, email address, date of birth and photo will not be visible to the hiring manager when they review CVs.

Are you an enthusiastic and highly motivated engineer / scientist seeking a change? We are currently expanding our Hydrodynamic and Metocean Team, where support and problem sharing is an important part of our culture.  We will provide you with an opportunity to keep developing your career in a world leading organisation.

About the role

In our Coasts and Oceans Group, within the Hydrodynamic and Metocean Team, we have projects involving modelling of hydrodynamics,. We predict winds, waves, water levels and currents for design of coastal structures and investigate the impact of developments such as offshore wind farms, harbours or coastal developments.

Key responsibilities:

• Analysis and interpretation of measured and hindcast metocean data
• Delivery of metocean analysis and computational wave modelling studies
• Lead and support the preparation of bids for metocean and coastal wave modelling studies
• Project management, including communication with the client
• Contribute to the development of in-house tools and models
• Participate in internal forums, working groups, conferences to stay current with industry best practises and be at the forefront of the research and technology.

About you

For the role you will need to demonstrate:

• BSc/BEng and preferably MSc/MEng or PhD in a relevant field (e.g. oceanography, meteorology, applied mathematics, physics, civil engineering).
• Track record in estimating metocean extreme values for design criteria, including the quantification of uncertainties.
• Experience in the application of numerical wave models (e.g. SWAN, SWASH, FUNWAVE)
• Experience in programming using one or more languages: Python, Matlab, R
• Experience in managing projects
• That you are highly numerate with strong analytical and problem-solving abilities
• Strong, effective communication skills, both verbally and in writing
• Collaborative team work
• Good attention to detail, record keeping, presentation and report writing skills
• Adaptability and self-motivation

Desirable Skills and experience

Further skills, of interest but not essential, include :

• Experience in the application of numerical wind models (e.g. WRF, WASP)
• Code management (GIT, branch management, unit testing)
• Knowledge of machine learning techniques and their limitations
• Knowledge of relevant industry standards
• Fortran programming language
• GIS

Flexible working

Helping our people achieve a healthy work-life balance is important to us, and we would be happy to explore flexible working and job share arrangements. Please talk to us about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

About us

We deliver smart solutions where water interacts with people, infrastructure and the environment.

It’s our exceptional people that make us who we are. A diverse range of individuals, we work together to push the boundaries of conventional thinking. We are innovators, bridging the gap between academia and industry. As a not-for-profit company, we don’t have shareholders; instead our profits are used to advance our research and to develop our people, our tools and our technology. We value the independence this brings us, our business and our environment in the long term, creating a company that we are all proud to be part of.

We are an equal opportunity employer and value diversity in our workplace. We do not discriminate, and work to create an inclusive culture across our business.

Further information

• Download a full job description and person specification.
• Check out our exceptional benefits at hrwallingford.com/careers.
• Salary range: £42,000 - £55,000 dependant on experience.
• The closing date for applications is 25^th May 2026

Graduate Software Engineer – Build Technology That Moves in the Real World

Want to write code that doesn’t just sit on a screen—but powers real robots in real environments?

At Dexory, our engineers build the systems behind autonomous robots that navigate warehouses, scan inventory, and generate insights at scale. From robotics and computer vision to machine learning and cloud infrastructure, the problems we solve are complex, fast-moving, and deeply technical.

This is more than a graduate role. It’s a launchpad.

Why this role is different

From your first few weeks, you’ll be shipping production code—software that runs on robots, processes live data, and supports real operations.

Your first year is structured to accelerate your growth:

• Start in a core team aligned with your interests
• Rotate across teams every 2–3 months
• Build both depth and breadth across a modern engineering stack

By the end of the year, you won’t just understand the system—you’ll have helped build it.

If you’re excited by complex systems, real-world impact, and rapid growth, this is where your engineering career starts.

Where you could work

You’ll join one of our core teams, with rotations across others:

Autonomy
Build the systems that allow robots to safely navigate busy, real-world warehouse environments.
Think: motion planning, real-time systems, and safety-critical software.

AI / Perception
Turn raw sensor data into meaningful insights using computer vision and machine learning.
Think: ML pipelines, point cloud data, and large-scale perception systems.

Platform
Power everything behind the scenes with scalable infrastructure and developer tooling.
Think: cloud systems, CI/CD, and production reliability at scale.

What you’ll be doing

• Ship production code early—whether it’s running on robots, powering pipelines, or supporting infrastructure
• Work on systems that interact with the physical world, not just simulations
• Progress from well-defined tasks to owning features and leading small projects
• Design, build, test, and deploy software to production standards from day one
• Collaborate with engineers and cross-functional teams to deliver real-world solutions
• Contribute to technical discussions and grow into architectural thinking

What we’re looking for

You don’t need industry experience—but you do need strong fundamentals and curiosity.

You should have:

• A degree in Computer Science, Engineering, Robotics, AI/ML, Maths, Physics, or similar
• Strong foundations in Python
• Experience with Git and Linux
• Evidence of building real projects (coursework, personal projects, open source, etc.)

Depending on your interests, it’s great if you have:

• Autonomy: C++, robotics, or real-time systems
• AI / Perception: PyTorch, TensorFlow, or computer vision
• Platform: Docker, CI/CD, or cloud infrastructure

We care more about depth than ticking every box. If you’re strong in one area and motivated to learn, you’ll thrive here.

How you’ll grow

You’ll be supported from day one with structured mentorship and clear progression:

• Dedicated mentor: A senior engineer to guide your development
• Real feedback: Regular input on your code, decisions, and growth
• Access to leadership: Learn from experienced engineers across the business

Your first year:

• 3 months: Shipping independently, confident in your team’s domain
• 6 months: Owning features end-to-end, contributing to design discussions
• 12 months: Operating as a well-rounded engineer across multiple systems

Technologies you’ll work with

Depending on your team and rotations:

• Core: Python, Linux, CI/CD
• Autonomy: C++, ROS
• AI / Perception: PyTorch, TensorFlow
• Platform: Docker, Kubernetes, AWS, Golang, TypeScript, React

What you’ll gain

• Experience building production systems from day one
• Exposure to robotics, AI, and scalable infrastructure
• A fast-tracked path to becoming a confident, well-rounded engineer
• The chance to work on technology that directly impacts real-world operations

Benefits

Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:

• Performance: High standards, outstanding results,
• Impact: Big challenges, bigger results
• Commitment: All in, every time
• One team: One mission, shared success

Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. 

You will also receive:

• Private healthcare via Bupa with 24/7 medical helpline 
• Life insurance
• Income protection 
• Pension: 4+% employee with option to opt into salary exchange, 5% employer
• Employee Assistance Programme - mental wellbeing, financial and legal advice/support 
• 25 holidays per year 
• Full meals onsite in Wallingford
• Fun team events on and offsite, snacks of all kinds in the office 

AAP/EEO Statement  

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Please note: We are unable to provide sponsorship or relocation for this role.

Start date will be September 2026