Clinical AI Engineer | Healthcare Technology | Artificial Intelligence
Salary: £65,000 – £90,000 per year (Dependent on experience)
Location: London, UK (Hybrid – 2–3 days per week in office)
Type: Permanent – Full Time
Industry: Healthcare Technology / Artificial Intelligence
Job Owner: Tariq Masood
Job Description
Mastar Limited is partnering with a pioneering Healthcare AI company to hire a Clinical AI Engineer who will work on cutting-edge artificial intelligence solutions that transform clinical diagnostics, treatment pathways, and healthcare decision-making.
In this role, you will develop, deploy, and optimize machine learning models using real-world clinical and biomedical data, contributing directly to advancements in AI-driven healthcare innovation.
This position offers an opportunity to work at the intersection of AI, medicine, and data science, delivering technologies that make a measurable impact on patient outcomes in a regulated, high-impact environment.
Experience
3–5 years of experience in AI, Machine Learning, or Data Science, with a focus on healthcare, biomedical, or clinical applications.
Key Responsibilities
- Design and implement ML/AI algorithms for clinical use cases, such as diagnosis, risk prediction, and patient stratification.
- Collaborate with clinicians, data scientists, and software engineers to translate clinical challenges into scalable AI solutions.
- Develop data pipelines for preprocessing, model training, validation, and deployment.
- Ensure compliance with healthcare data standards such as HIPAA, GDPR, and clinical validation protocols.
- Contribute to regulatory documentation and submission materials (e.g., CE marking, FDA approval).
- Evaluate and monitor model performance, bias, and generalizability across diverse clinical datasets.
Required Skills
- Proficiency in Python and experience with TensorFlow, PyTorch, or equivalent ML frameworks.
- Experience with healthcare data formats such as EHR, DICOM, HL7, and FHIR.
- Strong foundation in statistics, deep learning, and signal or image processing.
- Understanding of clinical data analysis, biomedical research, and AI model validation.
- Proven ability to collaborate effectively with interdisciplinary teams including clinicians, researchers, and regulatory specialists.
Desired Skills
- Experience deploying AI models in cloud environments (AWS, GCP, or Azure).
- Knowledge of AI model explainability and interpretability techniques for clinical applications.
- Familiarity with medical device standards (e.g., ISO 13485, IEC 62304) and AI governance frameworks.
- Published research or demonstrated contributions to healthcare AI projects or clinical ML applications.
Job Benefits
- Competitive salary with performance-based bonuses
- 28 days annual leave plus bank holidays
- Hybrid work model with flexible working hours
- Private health insurance and wellbeing support
- Professional training budget and AI/ML conference access
- Inclusive, mission-driven culture focused on innovation and impact
Education
- Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, or related field.
- PhD preferred, particularly in AI, Machine Learning, or Computational Medicine.
Additional Details
- Experience Required: 3–5 years in AI/ML engineering or data science (healthcare focus)
- Work Mode: Hybrid (London-based)
- Sponsorship: Not considered
