Company Description: Scarlet - Creandum-backed medical AI authority
Job Description: You will join the Devices function as a software expert assessing the world's most innovative medical AI systems. By certifying cutting-edge technology for market access, you'll bridge the gap between complex software engineering and regulatory safety, ensuring life-saving diagnostics and monitoring tools reach patients quickly and safely across global jurisdictions.
Location: London, UK
Why this role is remarkable:
Work at the frontier of healthcare as part of the only Notified Body in Europe specializing exclusively in software and AI medical devices.
Join a high-growth, Series A startup backed by Creandum with proven product-market fit and exponentially growing revenue from industry-leading customers.
Directly influence how the next generation of generative AI and LLMs are safely integrated into clinical environments and public health systems.
What you will do:
Conduct technical assessments of software lifecycle processes and verification/validation protocols for advanced medical devices.
Collaborate with multidisciplinary teams of clinicians and ML experts to evaluate technical documentation and cybersecurity resilience.
Support product and engineering functions in building internal systems that automate and improve the regulatory approval journey.
The ideal candidate:
Holds a computer science degree with at least four years of experience in healthcare, manufacturing, or safety-critical software auditing.
Possesses two+ years of hands-on experience in the design, testing, or programming of medical device software or critical systems.
Demonstrates technical fluency in modern software development lifecycles, including V&V testing, debugging, and familiarity with AI/ML evaluation techniques.
Software Safety Engineer
Salary: £75K – £85K + Equity
Company Description: Scarlet - Creandum-backed medical AI authority
Job Description: You will join the Devices function as a software expert assessing the world's most innovative medical AI systems. By certifying cutting-edge technology for market access, you'll bridge the gap between complex software engineering and regulatory safety, ensuring life-saving diagnostics and monitoring tools reach patients quickly and safely across global jurisdictions.
Location: London, UK
Why this role is remarkable:
Work at the frontier of healthcare as part of the only Notified Body in Europe specializing exclusively in software and AI medical devices.
Join a high-growth, Series A startup backed by Creandum with proven product-market fit and exponentially growing revenue from industry-leading customers.
Directly influence how the next generation of generative AI and LLMs are safely integrated into clinical environments and public health systems.
What you will do:
Conduct technical assessments of software lifecycle processes and verification/validation protocols for advanced medical devices.
Collaborate with multidisciplinary teams of clinicians and ML experts to evaluate technical documentation and cybersecurity resilience.
Support product and engineering functions in building internal systems that automate and improve the regulatory approval journey.
The ideal candidate:
Holds a computer science degree with at least four years of experience in healthcare, manufacturing, or safety-critical software auditing.
Possesses two+ years of hands-on experience in the design, testing, or programming of medical device software or critical systems.
Demonstrates technical fluency in modern software development lifecycles, including V&V testing, debugging, and familiarity with AI/ML evaluation techniques.
What You'll Do
Work at the frontier of healthcare as part of the only Notified Body in Europe specializing exclusively in software and AI medical devices.
Join a high-growth, Series A startup backed by Creandum with proven product-market fit and exponentially growing revenue from industry-leading customers.
Directly influence how the next generation of generative AI and LLMs are safely integrated into clinical environments and public health systems.
Conduct technical assessments of software lifecycle processes and verification/validation protocols for advanced medical devices.
Collaborate with multidisciplinary teams of clinicians and ML experts to evaluate technical documentation and cybersecurity resilience.
Support product and engineering functions in building internal systems that automate and improve the regulatory approval journey.
