Machine Learning Software Engineer / Senior Machine Learning Software Engineer (

About this role

Machine Learning Software Engineer / Senior Machine Learning Software Engineer Accelerate Scientific Discovery with Oxford Instruments Andor; Imaris At Oxford Instruments Andor, we are dedicated to enabling the world's greatest scientific breakthroughs. Our cutting-edge imaging, spectroscopy and microscopy technologies are helping researchers develop life-saving treatments, explore deeper into space and advance sustainable energy solutions. As a global leader in high-performance light measurement technology, we combine expertise in sensors, electronics, optics and software to deliver industry-leading solutions to customers in over 55 countries worldwide. Guided by our core values of Inclusive, Innovative, Trusted and Purposeful , we strive to create technologies that make a meaningful difference to science and society. The Opportunity We are seeking a Machine Learning Software Engineer to join our Imaris software development team and help shape the future of intelligent image analysis within our world-class scientific products. This is a senior individual contributor role for an experienced engineer who is passionate about applying machine learning and computer vision techniques to solve complex real-world problems. You will act as the technical expert for machine learning within the Imaris team, researching, developing and deploying advanced ML solutions that directly enhance our image analysis, image processing, object detection and segmentation capabilities. Working at the intersection of software engineering, machine learning and scientific imaging, you'll have the opportunity to tackle highly challenging problems involving large multidimensional datasets, cutting-edge algorithms and high-performance computing environments. What You Will Be Doing Machine Learning Innovation 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. Software Development 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. Performance & Optimisation 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. Technical Leadership 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. Collaboration 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. What We're Looking For Qualifications BSc / MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience. 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. Technical Knowledge Deep understanding of machine learning theory, mathem

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