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An Applied Research and Engineering Team is looking for a Machine Learning Engineer to work on real-world healthcare and life sciences projects. The role focuses on developing, validating, and deploying machine learning models using complex, regulated data sets, with an emphasis on moving research into production environments. This position sits within a multidisciplinary team delivering externally funded R&D and early-stage product work, collaborating with engineers, researchers, and domain specialists.

Overview

The role involves developing, validating, and deploying ML models in healthcare settings, with attention to data protection and regulatory requirements.

Responsibilities

• Design, train, and evaluate machine learning models for classification and prediction tasks using healthcare data
• Work with large-scale, structured and semi-structured datasets (e.g. EHR-style or clinical datasets)
• Develop end-to-end ML pipelines from data ingestion through to deployment
• Deploy and maintain models in production environments
• Apply appropriate model validation, monitoring, and performance evaluation techniques
• Ensure work aligns with data protection and regulatory requirements (e.g. GDPR)
• Contribute to technical documentation and project reporting
• Collaborate closely with non-ML stakeholders to translate requirements into technical solutions

Required Skills & Experience

• A PhD with 2 years of experience or a MSc with 5 years of experience
• Strong background in machine learning with hands-on, applied experience
• Commercial experience working with healthcare, medical, or life sciences data
• Strong Python skills and experience with common ML libraries and frameworks
• Experience deploying ML models into production environments
• Familiarity with working in regulated or compliance-driven settings
• Experience handling noisy, incomplete, or real-world datasets
• Ability to communicate technical work clearly and concisely

Desirable Experience

• Experience with distributed data processing or cloud-based ML workflows
• Exposure to deep learning techniques
• Experience with time-series or longitudinal data
• Knowledge of model interpretability or explainability techniques
• Background in applied research or R&D environments

If you have the relevant experience, and are interested, then apply now. Otherwise, if you’re interested in any other positions within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources.

Position Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Staffing and Recruiting

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