AI/Machine Learning Engineer

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AI/Machine Learning Engineer

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IC Resources .
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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