Hypervision Surgical Ltd
HypervisionSurgical("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 achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. 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
HypervisionSurgical("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 achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. 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
Avanti Recruitment
We are recruiting for a Senior Software Test Engineer to join a medical diagnostics business developing rapid point-of-care testing technology used in healthcare environments. This is an excellent opportunity for an experienced Software Test Engineer who enjoys working on complex products where quality, reliability and safety are critical. You will be involved in the verification and validation of software used within regulated medical device products, working closely with software, hardware and systems engineering teams. The Role As Senior Software Test Engineer, you will be responsible for planning, designing and executing software verification activities across the product lifecycle. You will review requirements, create detailed test plans and test cases, execute system-level testing, investigate defects and produce high-quality documentation in line with regulated development processes. This is a senior position, so you will also support junior engineers, contribute to test strategy and help drive improvements across the testing function. Key Responsibilities Review software requirements and ensure they are clear, complete and testable Design and execute manual and system-level software tests Produce test plans, test cases, test reports and verification documentation Raise, investigate and track software defects Work closely with Software, Hardware, Systems and Quality teams Support root cause analysis and re-testing of fixes Contribute to test strategy, tools and process improvements Mentor and support less experienced engineers Skills and Experience Required Experience in software testing, software QA or software verification Strong background in writing test cases, test plans and test documentation Experience reviewing requirements and identifying test scenarios Defect management and root cause analysis experience Ability to work closely with multi-disciplinary engineering teams Strong attention to detail and communication skills Desirable Experience Medical device, diagnostics, IVD or MedTech experience Experience working in a regulated environment Knowledge of IEC 62304, ISO 13485 or similar standards Embedded software, system testing or hardware/software integration experience Experience mentoring junior engineers Why Apply? This is a chance to work on meaningful technology used in healthcare settings, where your testing expertise directly contributes to product safety and reliability. You will join a collaborative engineering environment, take ownership of complex verification work and play a key role in improving software quality across regulated products. Apply now for immediate consideration or contact us for more information.
We are recruiting for a Senior Software Test Engineer to join a medical diagnostics business developing rapid point-of-care testing technology used in healthcare environments. This is an excellent opportunity for an experienced Software Test Engineer who enjoys working on complex products where quality, reliability and safety are critical. You will be involved in the verification and validation of software used within regulated medical device products, working closely with software, hardware and systems engineering teams. The Role As Senior Software Test Engineer, you will be responsible for planning, designing and executing software verification activities across the product lifecycle. You will review requirements, create detailed test plans and test cases, execute system-level testing, investigate defects and produce high-quality documentation in line with regulated development processes. This is a senior position, so you will also support junior engineers, contribute to test strategy and help drive improvements across the testing function. Key Responsibilities Review software requirements and ensure they are clear, complete and testable Design and execute manual and system-level software tests Produce test plans, test cases, test reports and verification documentation Raise, investigate and track software defects Work closely with Software, Hardware, Systems and Quality teams Support root cause analysis and re-testing of fixes Contribute to test strategy, tools and process improvements Mentor and support less experienced engineers Skills and Experience Required Experience in software testing, software QA or software verification Strong background in writing test cases, test plans and test documentation Experience reviewing requirements and identifying test scenarios Defect management and root cause analysis experience Ability to work closely with multi-disciplinary engineering teams Strong attention to detail and communication skills Desirable Experience Medical device, diagnostics, IVD or MedTech experience Experience working in a regulated environment Knowledge of IEC 62304, ISO 13485 or similar standards Embedded software, system testing or hardware/software integration experience Experience mentoring junior engineers Why Apply? This is a chance to work on meaningful technology used in healthcare settings, where your testing expertise directly contributes to product safety and reliability. You will join a collaborative engineering environment, take ownership of complex verification work and play a key role in improving software quality across regulated products. Apply now for immediate consideration or contact us for more information.
