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Job statistics for Software Safety Engineer

Same-title openings
3
Days open
22 days
Estimated salary
$92,000
Based on Mid-level seniority, the Robotics industry and United Kingdom market rates.
K
KO2 Embedded Recruitment Solutions

Software Safety Engineer

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Focus
Safety-critical
Location
London Area, United Kingdom
Posted
Sep 16, 2026
Source
LinkedIn

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Standards
IEC 62304

Job description

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.