Machine Learning / LLM Engineer(Developer)/ Medical AI
Location: Remote
Salary: Upto £50k
Role Description
• Utilize GPTs and LLMs to process, summarize, and generate medical reports.
• Enhance the accuracy and efficiency of clinical data extraction and interpretation.
• Develop and implement advanced algorithms for analyzing medical and radiology images.
• Work with various imaging modalities (e.g., MRI, CT, X-ray) to extract meaningful insights and patterns.
• Collaborate with radiologists and medical professionals to validate and refine imaging models.
• Medical Imaging Analysis
• Design and implement NLP models (Natural Language Processing) to extract and interpret contextual information from medical documents.
• Develop, fine-tune, and deploy machine learning models using state-of-the-art techniques.
• Ensure models are scalable, robust, and compliant with healthcare industry standards.
• Continuously evaluate and improve model performance through rigorous testing and validation.
Qualifications:
(Essential)
• Strong expertise in natural language processing, specifically with GPTs and large language models (LLM)
• Proficiency in programming languages such as Python, Java, or C++
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras)
• Ability to analyze complex datasets and apply statistical techniques
• Excellent problem-solving and critical thinking skills
• Strong communication and collaboration skills
(Desirable)
• Proven experience in analyzing medical and radiology images using AI and machine learning techniques.
• Understanding of medical terminology and healthcare data
• Master's or PhD in Computer Science, Engineering, or a related field is preferred
• Experience with medical imaging analysis is a plus
Job Type: Full-time
Pay: Up to £50,000.00 per year
Benefits:
• Company pension
• Free parking
• On-site parking
Schedule:
• Monday to Friday
Experience:
• LLM (Large Language Models): 1 year (preferred)
• AI: 1 year (preferred)
• Medical imaging: 1 year (preferred)
• Model Development and Optimization: 1 year (preferred)
Work Location: Remote
Location: Anywhere
Posted: Aug. 9, 2024, 8:19 p.m.
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