Machine Learning Software Engineer / Senior Machine Learning Software Engineer (

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