MA

Clinical AI Engineer

Hiring from
United Kingdom
Work type
Hybrid
Posted

615,257 remote jobs, straight from company career pages

100% free · New jobs every minute

Show job description

About Us

MastarRec is a specialist recruitment and staffing agency supporting high-growth and technology-driven industries across the United Kingdom, the United States, and global markets. We partner with organizations to deliver tailored staffing solutions focused on quality, integrity, and long-term value for both clients and candidates.​


Job Description

Job Description:

Mastar Limited is partnering with a pioneering Healthcare AI company to hire a Clinical AI Engineer who will work on cutting-edge solutions that improve clinical diagnostics, treatment outcomes, and healthcare decision-making. You will develop, deploy, and optimize machine learning models using real-world clinical data in a regulated, high-impact environment.



Key Responsibilities:

  • Design and implement ML/AI algorithms for healthcare applications (e.g., diagnosis, risk prediction, patient stratification).
  • Work with clinicians, data scientists, and engineers to translate clinical problems into AI-driven solutions.
  • Develop pipelines for data preprocessing, model training, validation, and deployment.
  • Ensure compliance with healthcare standards such as HIPAA, GDPR, and clinical validation protocols.
  • Collaborate on regulatory submissions and technical documentation (e.g., CE marking, FDA).
  • Evaluate model performance and generalizability using diverse clinical datasets.


Requirements

Required Skills:

  • Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
  • Experience with healthcare data types (EHR, DICOM, HL7, FHIR).
  • Strong knowledge of statistics, deep learning, and signal processing.
  • Understanding of clinical trial data and medical research practices.
  • Ability to work with interdisciplinary teams including clinicians and regulatory experts.


Desired Skills:

  • Experience in deploying AI models in cloud-based environments (e.g., AWS, GCP, Azure).
  • Knowledge of model explain ability and interpretability in clinical settings.
  • Familiarity with ISO 13485, IEC 62304, or other med-tech standards.
  • Published work or contributions to healthcare AI projects.


Benefits

Job Benefits:

  • Competitive salary with performance-based bonuses
  • 28 days annual leave + bank holidays
  • Hybrid work model and flexible hours
  • Private health insurance
  • Professional training budget and AI/ML conference access
  • Inclusive and mission-driven culture


Attachments

Similar jobs