About the Role
We are seeking a curious, hands-on, and motivated individual to join us as an Imaging Systems Engineer. This role is key in developing, validating, and deploying our surgical vision platform, involving benchtop experimentation, data acquisition, system validation, and real-world system support. You will work at the intersection of optical imaging, instrumentation, and scientific software, ensuring our cameras, scopes, and accessories meet surgical use standards. Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting both deployed clinical systems and next-generation hardware development.
Responsibilities
- Plan, set up, and execute optical and imaging benchtop tests for new camera platforms, light sources, scopes, and accessories.
- Collect optical and spectral performance data and produce analyses, referencing defined performance metrics and acceptance criteria.
- Maintain accurate and up-to-date technical documentation of benchtop procedures, characterisation results, and component performance baselines for regulatory submissions.
- Design and implement automated data-acquisition routines in Python (or similar) for repeatable benchtop and integration testing.
- Develop and maintain scripts that link multiple instruments into reproducible, well-documented measurement workflows.
- Contribute to internal tooling that lowers the friction of routine characterisation, calibration, maintenance, and verification work.
- Take ownership of routine calibration, maintenance, and quality control across deployed clinical systems.
- Support the development and formalisation of calibration and maintenance procedures.
- Investigate anomalies and perform root-cause analysis on imaging performance issues.
- Work closely with research scientists, system integration engineers, software developers, and clinical application specialists to bring learnings from the bench into product and pipeline improvements.
- Translate findings from characterisation and testing into clear, actionable input for engineering and product decisions.
- Contribute to test documentation and evidence packages for verification, validation, and regulatory submissions.
Requirements
- BSc or MSc (with strong practical experience) in Physics, Optics, Biomedical Engineering, Electrical Engineering, or a related technical discipline.
- Hands-on experience with optical imaging systems and optics-bench measurements, including spectral and transmission characterisation, gain and exposure characterisation, and resolution or image quality assessment.
- Experience working with image and video data, including basic processing, quality assessment, and debugging of imaging pipelines.
- Comfortable interacting with clinicians, customers, or external partners to diagnose issues and translate them into engineering improvements.
- Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas).
- Experience interfacing Python with hardware via vendor SDKs or standard protocols.
- Comfortable bridging hardware and software — wiring up cameras, light sources, and motion control to scripted acquisition pipelines.
- Strong attention to detail and a methodical, documentation-first approach to lab work.
- Excellent oral and written communication skills.
- Analytical thinker, attentive to details, creative and a team player.
- Experience working with hyperspectral, multispectral, or other scientific imaging cameras, including spectral and per-band performance characterisation.
- Experience working in a regulated industry, preferably MedTech, including familiarity with ISO 13485-compliant laboratory practice.
- Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets.
Skills
- Optical imaging
- Instrumentation
- Scientific software
- System validation
- Benchtop experimentation
- Data acquisition
- System support
- Optical imaging systems
- Optics-bench measurements
- Spectral characterisation
- Transmission characterisation
- Gain characterisation
- Exposure characterisation
- Resolution assessment
- Image quality assessment
- Image data processing
- Video data processing
- Imaging pipeline debugging
- Python
- NumPy
- SciPy
- Pandas
- Hardware interfacing
- Vendor SDKs
- Standard protocols
- Instrument control
- Benchtop automation
- Data analysis
- Hyperspectral imaging
- Multispectral imaging
- Scientific imaging cameras
- Per-band performance characterisation
- ISO 13485
- Liquid tissue phantoms
- Tissue-mimicking optical materials
Location
- London
Work Type
- Hybrid working
Experience Level
- Hands-on experience with optical imaging systems
- Experience working with image and video data
- Experience working with hyperspectral, multispectral, or other scientific imaging cameras
- Experience working in a regulated industry, preferably MedTech
- Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets
Education Level
- BSc or MSc (with strong practical experience) in Physics, Optics, Biomedical Engineering, Electrical Engineering, or a related technical discipline
Salary/Compensations
- Competitive salary
Benefits
- Equity participation via share option scheme
- 25 days of annual leave plus bank holidays
- Employee Assistance Programme for wellbeing, legal, and financial support
- Cycle to Work Scheme
- Workplace Nursery Benefits
- £150 annual tech stipend for productivity and office essentials
- Complimentary office snacks and drinks
- Monthly team socials
About the Company
- The opportunity to make a direct contribution to patient care and deliver real-world surgical impact.
- Access to state-of-the-art surgical development facilities at St Thomas’ MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering.
- An inclusive, collaborative culture.
