KO2 Embedded Recruitment Solutions Ltd
Software Safety Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Hybrid
Published on:
16 September 2026
What they need
Software Safety Engineer — AI Powered Medical Device Certification
Location: Central London, hybrid working
Salary: £90,000 to £95,000, plus equity
Fancy working somewhere that's properly rewriting how medical devices get certified as safe? My client holds the authority to formally assess and certify medical devices, and rather than doing it the slow way, they pair experienced clinical, technical and regulatory minds with AI agents and purpose built software, so certification can keep pace with genuinely cutting edge product development, AI enabled diagnostics and robotic assisted devices included, without ever loosening the safety bar. The result is safe technology reaching patients a good deal quicker than the industry is used to.
As Software Safety Engineer, you'll assess software lifecycle processes and technical documentation from customers, using AI assisted workflows to work through evidence, test hypotheses and surface inconsistencies for review. You'll work closely with product, engineering and applied machine learning colleagues to keep sharpening those tools, support the market access team as the business expands into new jurisdictions, and help explain complex regulatory topics clearly to customers and prospects.
What you'll need
- A degree in computer science or a related discipline
- Four or more years in medical device or other safety critical manufacturing, auditing or research, including two or more years developing safety critical software
- Solid grounding in software development lifecycle processes, verification and validation testing, configuration management and cybersecurity
- Excellent written and verbal communication skills
Nice to have
- Knowledge of relevant standards such as IEC 62304 and IEC 81001 5 1
- Hands on experience with generative AI, LLMs, embeddings, RAG, fine tuning or evaluation and monitoring
If you want to be right in the thick of where healthcare, hard engineering and artificial intelligence meet, I'd love to hear from you.
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