Senior Machine Learning Software Engineer

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.

Requirements

• MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience.
• Senior‑level 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.
• 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.

Core Competencies: Demonstrates expertise in developing and deploying advanced machine learning solutions for image analysis and processing, with a strong foundation in software engineering practices and object‑oriented design. Capable of mentoring and providing technical guidance while contributing to architectural decisions and optimizing model performance.