Senior Machine Learning Software Engineer

Das ist der Job

Explore emerging technologies and techniques to continuously improve product capabilities.

Darum lohnt es sich

Design, develop and maintain robust software solutions using modern software engineering practices. Provide technical guidance, mentoring and support to other software engineers and test team members. Share knowledge and promote engineering excellence across the team.

Strong knowledge of modern deep learning architectures including CNNs, U‑Net and related computer vision frameworks. 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. 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.

Contribute to technical investigations and architectural decisions. 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. 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. #J-18808-Ljbffr