Engineering

Data Scientist (ML/AI)

  • Location

    London

  • Sector:

    Medical Devices

  • Job type:

    Permanent

  • Salary:

    £75000 - £80000 per annum

  • Contact:

    James Burchill

  • Contact email:

    j.burchill@ioassociates.co.uk

  • Job ref:

    BBBH168115_1760106724

About the Company

iO Associates are delighted to be working with a pioneering Diagnostics company at the forefront of HealthTech innovation. The organisation is dedicated to transforming patient outcomes through advanced data-driven diagnostics and AI-powered healthcare solutions.

You'll be joining a multidisciplinary team of scientists, engineers, and clinicians focused on developing cutting-edge technologies that leverage Machine Learning and Artificial Intelligence to accelerate disease detection, improve diagnostic accuracy, and enable personalised medicine.

The Role

As a Data Scientist (ML/AI), you will play a key role in designing, developing, and deploying advanced data models that directly impact patient care and clinical outcomes. You'll work across the full data science lifecycle-from data exploration and feature engineering through to model training, evaluation, and implementation in production systems.

This is a hands-on role where you'll collaborate closely with data engineers, bioinformaticians, and clinical experts to turn complex biomedical data into actionable insights.

Key Responsibilities

  • Develop, train, and validate machine learning and AI models for diagnostic and predictive applications.

  • Analyse large, multi-modal healthcare datasets (e.g. genomic, imaging, and clinical data).

  • Conduct exploratory data analysis and feature engineering to extract key biological and clinical signals.

  • Collaborate with engineers to integrate models into cloud-based diagnostic platforms.

  • Evaluate and optimise model performance, ensuring compliance with medical data governance and regulatory standards (GDPR, ISO 13485, MHRA).

  • Contribute to research publications and present findings at internal and external scientific forums.

  • Stay up-to-date with advancements in ML/AI, particularly within biomedical and diagnostic applications.

Skills & Experience Required

  • MSc or PhD in Data Science, Machine Learning, Computer Science, Bioinformatics, or a related field.

  • Proven experience developing ML/AI models using Python, TensorFlow, PyTorch, scikit-learn, or similar frameworks.

  • Strong background in statistics, predictive modelling, and data visualisation.

  • Experience with healthcare, diagnostics, or biomedical datasets (structured or unstructured).

  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps pipelines.

  • Solid understanding of data privacy and regulatory considerations in the health sector.

  • Excellent communication skills and a collaborative mindset-comfortable working in cross-functional, scientific teams.

Desirable

  • Experience with medical imaging (e.g. MRI, CT, histopathology) or omics data (genomic, proteomic, metabolomic).

  • Knowledge of NLP or generative AI applications in healthcare.

  • Familiarity with DevOps / CI/CD for ML models.

  • Previous experience in a regulated medical device or diagnostic environment.

Benefits

  • Competitive salary and bonus

  • Flexible hybrid working model (London HQ)

  • Private healthcare and wellbeing support

  • Generous learning & development budget

  • Opportunity to contribute to life-changing healthcare innovations