Machine Learning Software Engineer / Senior ML Engineer

Salary: £40,000 - 80,000 per year

Requirements:

• BSc / MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience.
• Experience in software engineering, machine learning development or advanced applied research.
• Proven experience delivering machine learning projects from concept through to production deployment.
• Strong software development background with object-oriented design principles.
• Experience researching, evaluating and implementing ML solutions for real-world business or scientific applications.
• Strong hands-on programming experience.
• Deep understanding of machine learning theory, mathematics and image processing principles.
• Strong knowledge of modern deep learning architectures including CNNs, U-Net and related computer vision frameworks.
• Production-level experience with PyTorch and/or TensorFlow.
• Experience building, training, evaluating and deploying machine learning models.
• Strong understanding of Python scientific and machine learning ecosystems.
• Expertise in object-oriented software design and development.
• Ability to independently research and implement innovative solutions to complex technical challenges.
• Research experience or publications in Computer Vision, Biomedical Image Analysis or Deep Learning.
• Experience working with multidimensional image data, volumetric datasets or large-scale imaging systems.
• Experience deploying ML models into production environments.
• Knowledge of C++ software development.
• Familiarity with Git and Azure DevOps.
• Experience with cross-platform development (Windows and Mac).
• Exposure to cloud-based training workflows.
• Understanding of cybersecurity principles.

Responsibilities:

• Research, develop and deploy advanced machine learning solutions for image analysis, image processing, object detection and segmentation.
• Evaluate technical challenges and determine the most effective ML approach, whether developing custom models or adapting state-of-the-art solutions.
• Explore emerging technologies and techniques to continuously improve product capabilities.
• Design, develop and maintain robust software solutions using modern software engineering practices.
• Integrate machine learning algorithms into high-performance desktop applications.
• Contribute to the wider C++ application architecture and codebase.
• Participate in code reviews and contribute to development best practices.
• Profile and optimise model execution for CPU and GPU acceleration.
• Ensure efficient processing of large-scale 3D and 4D imaging datasets.
• Develop scalable and maintainable solutions suitable for production environments.
• Provide technical guidance, mentoring and support to other software engineers and test team members.
• Contribute to technical investigations and architectural decisions.
• Share knowledge and promote engineering excellence across the team.
• Work closely with software engineers, scientists, product managers and domain experts.
• Support product development from concept through to deployment.
• Occasionally travel to other Oxford Instruments sites and customer locations when required.

Technologies:

• 3D
• Azure
• Cloud
• Computer Vision
• DevOps
• Git
• Support
• Machine Learning
• PyTorch
• Python
• TensorFlow
• Windows

More:

We are Oxford Instruments Andor, a global leader in high-performance light measurement technology, combining expertise in sensors, electronics, optics and software to support scientific breakthroughs in imaging, spectroscopy and microscopy. We are seeking a senior Machine Learning Software Engineer to join our Imaris software development team and help shape intelligent image analysis in our scientific products. This permanent role is based at our headquarters in Belfast or remotely within the UK. We offer a competitive benefits package including private medical insurance, pension contribution, share incentive plan, annual leave, learning and development support, career progression opportunities, and work-life balance benefits. We are committed to inclusion, diversity and creating a workplace where everyone feels valued.

last updated 37 week of 2026