Staff Machine Learning Engineer
Accurx · London (Shoreditch) · GB
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand85
Career growth90
Healthcare fit25
Remote potential50
5-year outlook
Strong growth potential with senior engineering compensation in the UK health tech sector, likely above market average for engineering roles.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have substantial ML engineering experience; otherwise, not a fit. For clinicians with dual technical skills, this is a high-impact opportunity to shape AI in healthcare.
Who should apply
Clinicians with a strong background in machine learning, data science, and software engineering, particularly those interested in health tech and NHS innovation.
CV angle
Highlight any clinical experience as domain expertise, but emphasize technical skills in ML, NLP, and production systems. Frame clinical knowledge as a differentiator for understanding patient communication and triage.
Skills to highlight
- Python
- NLP
- Deep Learning
- ML production
- System design
- Healthcare domain knowledge
- Cross-functional collaboration
Role summary
Senior ML engineer leading AI/ML strategy for a healthcare communication platform, setting technical direction and building scalable ML systems for the NHS.
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