Senior Machine Learning Software Engineer

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Oxford Instruments plc

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚀 Aerospace

🧬 Biotechnology

🔬 Science

Aerospace • Biotechnology • Science

Oxford Instruments plc is a company that pushes the boundaries of technology, developing innovative solutions that enable customers to achieve breakthroughs in various fields. They focus on creating advanced manufacturing techniques and pioneering new imaging technologies, providing exceptional products that enhance digital connectivity and support the development of next-generation medicines and healthcare technology. Their commitment to addressing the greatest challenges of the 21st century underscores their role as a leader in scientific and industrial advancements.

📋 Description

• 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.

🏖️ Benefits

• Private Medical Insurance (BUPA) for you and your dependants • Employee Assistance Programme • Mental Health First Aiders • Income Protection • Life Assurance and Personal Accident Insurance • Occupational Health Service • Company sick pay • Two paid volunteering days per year • Competitive salary • 6% employer pension contribution • Share Incentive Plan • Leave Purchase Scheme • Cycle to Work Scheme • Car Salary Exchange Scheme • Technology Purchase Scheme • Employee Discount Scheme • Free On-site Parking • Professional qualification support • Accredited learning and development programmes • Career progression opportunities across the Oxford Instruments Group • Long Service Awards • 187.5 hours annual leave plus 9 customary holidays • Early finish every Friday • Enhanced maternity and paternity pay • Bereavement leave