Imaging Systems Engineer - Medical Technology Development in London

Imaging Systems Engineer - Medical Technology Development in London

London Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Hypervision Surgical

At a Glance

  • Tasks: Join us to develop and validate cutting-edge surgical imaging systems.
  • Company: Innovative medical tech company focused on improving surgical precision.
  • Benefits: Competitive salary, equity options, hybrid work, and 25 days annual leave.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact in patient care with advanced imaging technology.
  • Qualifications: BSc/MSc in relevant fields and hands-on experience with optical imaging.

The predicted salary is between 40000 - 50000 £ per year.

We are seeking a curious, hands‑on and motivated individual to join us as our Imaging Systems Engineer, to play a key role in the development, validation, and deployment of our surgical vision platform, spanning benchtop experimentation, data acquisition, system validation, and real‑world system support. In this role, you will work at the intersection of optical imaging, instrumentation, and scientific software, supporting system validation and ensuring that our cameras, scopes, and accessories are characterised, calibrated, and validated to the standards required for surgical use.

You will contribute to the design and execution of experiments for system‑level characterisation, alongside the acquisition of high‑quality reference datasets to support algorithm development and performance benchmarking. A particular focus of your work will be characterising the spectral performance and image quality of our surgical vision system. In addition, you will help translate benchtop performance into real‑world settings by supporting system deployment, troubleshooting, and technical interactions with clinical and external partners.

Working closely with our research scientists and system integration engineers, you will plan and execute benchtop experiments, build the automation that makes those experiments robust and repeatable, and produce the analyses that turn raw measurements into actionable engineering decisions. Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting both ongoing maintenance of deployed clinical systems and the development of next‑generation hardware. You will contribute to the technical records and performance baselines that underpin our regulatory submissions and post‑market surveillance activities.

Key Responsibilities

  • Optical & Spectral Characterisation: 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 the analyses to interpret them, referencing defined performance metrics and acceptance criteria. Maintain accurate and up‑to‑date technical documentation of benchtop procedures, characterisation results, and component performance baselines, to the standard required for regulatory submissions.
  • Acquisition Automation & Integration: Design and implement automated data‑acquisition routines in Python (or similar) for repeatable benchtop and integration testing, including scripted control of cameras, light sources, motion stages, and spectrometers via their respective hardware interfaces and SDKs. 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 across the team.
  • Calibration & Maintenance Cycle: Take ownership of routine calibration, maintenance and quality control across deployed clinical systems, including management of calibration schedules, traceability to reference standards, and clear pass/fail records. Support the development and formalisation of calibration and maintenance procedures as the number of deployed systems grows. Investigate anomalies and perform root‑cause analysis on imaging performance issues identified in the lab or in the field.
  • Cross‑Functional Collaboration: Work closely with research scientists, system integration engineers, software developers, clinical application specialists and the clinical development team members 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 in support of verification, validation, and regulatory submissions.

About You

You are a hands‑on, methodical engineer who enjoys working in the lab, assembling optics‑based rigs and writing scripts that make lab work repeatable. You are comfortable bridging hardware and software, enjoying wiring up instrumentation, scripting acquisition pipelines, and analysing the resulting data. You take pride in well‑characterised systems, well‑documented procedures, and measurements that other people can rely on, including in regulated contexts where the quality of your records matters as much as the quality of your data.

You bring:

  • 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.

Bonus points if you bring a special talent, interest, language, or unique life experience to the team.

About Us

Hypervision Surgical (“Hypervision”) is a spin‑out from King’s College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real‑time, AI‑driven tissue intelligence to improve precision and patient safety. We are pioneering the world’s first regulatory‑cleared real‑time intraoperative spectral imaging platform, combining on‑chip spectral sensing with high‑speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data‑rich tools — revealing anatomical, physiological, and pathological information beyond human vision.

Certified for both open and minimally invasive surgery, our platform achieved UKCA certification and FDA clearance in 2025 under a newly established AI/ML product code, and was admitted into the FDA’s Safer Technology Program. With multi‑centre clinical evaluations underway and strategic partnerships with world‑leading technology and surgical manufacturers, including imec and ZEISS Ventures, Hypervision is shaping the future of data‑driven surgery.

What We Offer

  • 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.
  • Equity participation via share option scheme.
  • 25 days of annual leave plus bank holidays.
  • Hybrid working arrangements, tailored with your manager to suit the needs of the role.
  • Employee Assistance Programme for wellbeing, legal, and financial support.
  • Cycle to Work Scheme and Workplace Nursery Benefits.
  • £150 annual tech stipend for productivity and office essentials.
  • Complimentary office snacks and drinks.
  • Monthly team socials in an inclusive, collaborative culture.

Imaging Systems Engineer - Medical Technology Development in London employer: Hypervision Surgical

At Hypervision Surgical, we pride ourselves on being an innovative employer that empowers our Imaging Systems Engineers to make a tangible impact on patient care through cutting-edge medical technology. Our collaborative work culture fosters creativity and growth, with access to state-of-the-art facilities at St Thomas’ MedTech Hub and opportunities for professional development, including equity participation and hybrid working arrangements. Join us in shaping the future of data-driven surgery while enjoying a supportive environment that values your contributions and well-being.

Hypervision Surgical

Contact Details:

Hypervision Surgical Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Imaging Systems Engineer - Medical Technology Development in London

Tip Number 1

Network like a pro! Reach out to people in the medical technology field, especially those working with imaging systems. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your hands-on projects, especially those related to optical imaging and data acquisition. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python and any imaging systems you've worked with. Practice explaining complex concepts in simple terms, as you'll likely need to communicate with non-technical team members.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Hypervision Surgical. Don’t miss out on this opportunity!

We think you need these skills to ace Imaging Systems Engineer - Medical Technology Development in London

Optical Imaging Systems
Spectral Characterisation
Data Acquisition Automation
Python Programming
Instrument Control
Image Quality Assessment
Root Cause Analysis

Some tips for your application 🫡

Show Your Curiosity:We love a curious mind! When writing your application, highlight your hands-on experiences and how they’ve shaped your interest in imaging systems. Let us see your passion for learning and problem-solving!

Be Specific About Your Skills:Make sure to detail your technical skills, especially in optical imaging and Python. We want to know how you’ve used these skills in real-world scenarios, so don’t hold back on the specifics!

Keep It Organised:A well-structured application goes a long way. Use clear headings and bullet points to make it easy for us to read. Remember, we appreciate attention to detail, so keep it neat and tidy!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Hypervision Surgical

Know Your Tech Inside Out

Make sure you’re well-versed in the technical aspects of optical imaging systems and the specific technologies mentioned in the job description. Brush up on your knowledge of spectral performance, image quality assessment, and any relevant software tools like Python. Being able to discuss these topics confidently will show that you're not just interested but also knowledgeable.

Prepare for Hands-On Questions

Since this role is very hands-on, be ready for practical questions or even a mini-assessment. Think about how you would set up benchtop experiments or troubleshoot issues with imaging systems. Practising your thought process out loud can help you articulate your approach during the interview.

Showcase Your Collaboration Skills

This position requires working closely with various teams, so be prepared to discuss your experience in cross-functional collaboration. Share examples of how you've worked with engineers, scientists, or clinicians in the past, and highlight your ability to translate technical findings into actionable insights.

Document Your Achievements

Since attention to detail and documentation are crucial in this role, come prepared with examples of how you've maintained accurate records in previous projects. Discuss how you ensure compliance with regulatory standards and how your meticulous approach has positively impacted your work.