Senior/Staff Process Development Engineer
SAVA
- London
- Permanent
- Full-time
- Develop scalable, repeatable processes from early manual or semi-automated stages
- Define process parameters, windows, and manufacturing recipes
- Characterise process limits and optimise for yield, throughput, and stability
- Establish and monitor metrics for quality, throughput, and yield
- Implement systems to track and visualise process health
- Use data to drive decision-making, troubleshooting, and continuous improvement
- Act as the project manager for your processes, aligning priorities and timelines
- Communicate risks, wins, and progress clearly to stakeholders
- Liaise with suppliers and internal teams to enable successful process execution
- Collaborate closely with Sensor Development, Automated Equipment, Mechanical Engineering, and Data Engineering teams
- Develop test protocols and qualification strategies (IQ/OQ/PQ)
- Ensure processes meet functional and regulatory requirements
- Support operator training, auditing, and vendor management
- Degree in Engineering (Manufacturing, Mechanical, Industrial, or Biomedical)
- 2–5 years of experience in process development or manufacturing engineering, preferably in a regulated industry (medical devices, aerospace, automotive, etc.)
- Proven ability to develop, characterise, and optimise manual or semi-automated manufacturing processes
- Strong background in experimental design, statistical analysis, and root cause problem solving
- Hands-on experience with setting process windows, recipes, and acceptance criteria
- Familiarity with process qualification (IQ/OQ/PQ) and test method validation
- Comfortable managing multiple projects simultaneously and working cross-functionally with R&D, automation, data, and mechanical engineering teams
- Strong communication skills to clearly convey technical issues, risks, and results to stakeholders at all levels
- Experience with data-driven process control, manufacturing dashboards, or metrics development
- Exposure to high-volume or scale-up manufacturing environments, specifically medical devices
- Proficiency in statistical tools (e.g., JMP, Minitab, or similar)
- Lean Six Sigma Black Belt or equivalent process improvement training