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Scarlet

Software Safety Engineer

Location
London, Greater London, GB
Arrangement
On-site
Employment type
Full-time
Posted
23 September 2026 (7 days ago)

Checked 7 days agoApplications go to the employer, never to RoleSprint

About this role

WE PULL MEDICAL TECHNOLOGY FROM THE FUTURE TO SOLVE HUMAN HEALTH.

Scarlet is authorised to assess and certify medical devices. We combine clinical, technical and regulatory expertise with AI agents and software so rigorous certification can keep pace with product development at the world’s most ambitious technology companies, without lowering the safety bar.

Our customers have cut a year or more from their certification timelines for new AI-enabled medical devices and shortened product-update cycles from months to weeks. You’ll join a team building the infrastructure that makes these outcomes repeatable at scale.

ABOUT THE ROLE

As a Software Safety Engineer, you’ll assess software lifecycle processes and technical documentation for medical device software. You’ll use AI-assisted workflows to navigate evidence, explore failure modes, develop questions and test hypotheses, and surface inconsistencies for deeper review. You’ll experiment with improvements to your workflows as model capabilities improve and work with our product, engineering and applied machine learning teams to improve the tools you use. Your work will identify software risks and evidence gaps so Scarlet can reach rigorous certification decisions about medical device software and help safe devices reach patients sooner.

RESPONSIBILITIES

- Assess software lifecycle processes and technical documentation submitted by our customers

- Screen and action regulatory insights from the latest research, standards and guidance

- Work with our product, engineering and applied machine learning teams to improve our systems

- Work with our market access team to expand Scarlet's responsibility to new jurisdictions and certifications

- Create content to explain complex regulatory topics to customers and prospects

- Provide regulatory insights to prospects and customers

REQUIRED QUALIFICATIONS

- A degree in computer science or a related discipline

- Four or more years’ experience in medical device or other safety-critical product manufacturing, auditing or research, including two or more years’ experience developing safety-critical software

- Practical experience with software development fundamentals, including software development lifecycle processes, software verification and validation testing, software configuration management and cybersecurity

- Exceptional written and verbal communication skills

PREFERRED QUALIFICATIONS

- Knowledge or training in the relevant standards and guidance for medical device software, such as IEC 62304 and IEC 81001-5-1

- Practical experience with generative AI e.g. LLMs, embeddings, RAG, fine-tuning, evaluation/monitoring

INTERVIEW PROCESS

1. Intro call with Hann https://www.linkedin.com/in/hann-yee-son-26101624a/ — 30 mins

2. Interview with one of our Software Safety Engineers — 30 mins

3. Technical task and interview with Hann https://www.linkedin.com/in/hann-yee-son-26101624a/ — 1 hour

4. Culture and values interviews with Sandy https://www.linkedin.com/in/wrightsandy/, James https://www.linkedin.com/in/james-dewar-78758992/?originalSubdomain=uk and Jamie https://www.linkedin.com/in/jamie-cox-01458b3a/?originalSubdomain=uk — 30 mins each

5. Referencing and offer

Work location

  • London, Greater London, GB

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About this listing

Published on Ashby under the board identifier Scarlet, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 23 September 2026, last checked 7 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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