Clinical AI & Deep Learning Engineer - Healthcare MLOps

Thames Valley ICB; Stanford Dingley; On-site; GBP 65,000 - 90,000; Full time

Job summary

Thames Valley Integrated Care Board is seeking a Deep Learning Engineer to design, develop and deploy deep learning models that support future disease progression, predictive case finding and population needs across the Connected Care ecosystem. You will work with clinical colleagues to validate models before deployment and ensure outputs feed directly into clinical records and care workflows.

You will apply NLP where relevant, implement monitoring and explainability, and uphold information

Qualifications

• Hands-on experience building deep learning models for clinical outcomes.
• Experience with MLOps and AI deployment.
• Knowledge of NHS information governance and clinical safety standards.

Responsibilities

• Design, validate and deploy DL models for disease progression and predictive case finding.
• Collaborate with clinical teams to ensure safety and relevance.
• Integrate models with population health systems and care workflows.
• Establish model monitoring, explainability and drift detection.

Skills

PyTorch

TensorFlow

Azure Machine Learning

Tools

PyTorch

TensorFlow

Azure Machine Learning

Job description

Thames Valley Integrated Care Board is seeking a Deep Learning Engineer to design, develop and deploy deep learning models that support future disease progression, predictive case finding and population needs across the Connected Care ecosystem. You will work with clinical colleagues to validate models before deployment and ensure outputs feed directly into clinical records and care workflows.

You will apply NLP where relevant, implement monitoring and explainability, and uphold information