Founding Machine Learning Engineer

Established Search is a medical imaging AI organization focused on building infrastructure for the evaluation of AI systems throughout their lifecycle. They are seeking a Founding Machine Learning Engineer to lead customer engagements and provide analytical insights into model behavior for regulatory submissions.

Responsibilities:

• Lead customer engagements from initial scoping through delivery of evaluation outcomes
• Design and execute investigations assessing model performance across datasets, institutions, and patient subpopulations
• Analyse failure modes, generalisation limits, and performance variability in real-world data
• Identify distribution shift, bias, and uncertainty using statistical and representation-level analysis
• Work with complex and imperfect clinical datasets to produce robust, evidence-backed conclusions
• Translate technical findings into clear insights for both technical and non-technical stakeholders
• Deliver structured evidence supporting internal go/no-go decisions and regulatory submissions
• Contribute to early product direction, evaluation methodology, and technical strategy as a founding team member

Requirements:

• Demonstrated experience delivering meaningful machine learning or analytical work (projects, research, or production systems)
• Strong empirical ML skills, including experiment design and model debugging
• Ability to investigate model behaviour beyond metrics and identify underlying causes of failure
• Experience reasoning about distribution shift, uncertainty, and real-world data limitations
• High analytical ownership using Python for end-to-end workflows (data analysis → conclusions)
• Comfortable working with ambiguity, evolving scope, and messy datasets
• Strong communication skills and confidence presenting technical findings to customers and stakeholders