Senior Machine Learning Software Engineer

Oxford Instruments plc

Senior Machine Learning Software Engineer at Oxford Instruments Andor leveraging machine learning for scientific imaging products. Tackle complex problems in image analysis using advanced algorithms and software engineering practices.

Posted 7/6/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

Machine LearningImage AnalysisObject DetectionSegmentationDeep Learning ArchitecturesCNNsU-NetPython ProgrammingSoftware DevelopmentMathematics

Soft Skills

Technical GuidanceMentoringCollaborationProblem SolvingKnowledge Sharing

Certifications

MSc in Computer ScienceMSc in Data ScienceMSc in MathematicsMSc in PhysicsMSc in Engineering