Medical Physics jobs in Edinburgh

We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications.

This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment.

The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring.

Key Responsibilities

• Develop and optimise machine learning and computer vision algorithms for real-world applications.
• Investigate complex technical challenges, designing experiments and approaches to identify effective solutions.
• Analyse datasets, model performance, and system behaviour to improve algorithm capability.
• Support the development of automated workflows for data processing, training, testing, and evaluation.
• Contribute to the integration and deployment of algorithms within advanced software systems.
• Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team.
• Keep up to date with emerging developments in AI, machine learning, and computer vision.

Experience Required

• Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline.
• Proven experience developing machine learning or computer vision algorithms for production or near-production environments.
• Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures.
• Experience working with image datasets and applying image processing techniques to improve model performance.
• Strong programming skills in Python, with experience in C++ for performance-critical applications.
• Ability to solve complex technical problems through structured investigation and practical experimentation.
• Strong communication skills with the ability to explain technical concepts clearly.
• Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance.

Desirable Experience

Experience with any of the following would be beneficial:

• Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques.
• Synthetic data generation, multi-modal AI, or action recognition.
• Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines.
• Automation of development, testing, or deployment workflows.
• Cross-platform C++ development and build systems such as CMake.

Benefits

• Hybrid and flexible working arrangements.
• 37.5-hour working week with Friday lunchtime finish.
• 28 days annual leave plus Christmas closure.
• Holiday purchasing scheme.
• Matched pension contributions up to 6%.
• Private medical insurance and income protection.
• Life assurance and employee assistance programme.
• Share incentive and savings schemes.
• Electric vehicle salary sacrifice scheme.
• Wellbeing support and employee benefits platform.
• Learning and development opportunities.

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