Artificial Intelligence​/Machine Learning Engineer

Position: Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

We have an exciting opportunity for an AI/ML Engineer to join the Technology Incubation Lab at Samsung Research UK.

Position Summary

The Technology Incubation Lab is dedicated to developing and validating cutting‑edge solutions in health and accessibility, bridging the gap between early‑stage research and commercialisation. The lab works on externally funded projects, collaborating with academia, industry and public sector organisations to explore next‑generation technologies before they are integrated into commercial offerings. The team focuses on AI‑powered predictive healthcare solutions that integrate real‑world health data from wearables, IoT devices and medical records to enhance early disease detection and personalise health monitoring, as well as AI‑powered accessibility solutions to improve digital and physical accessibility for individuals with disabilities.

Role

And Responsibilities

• Develop and optimise machine learning models for disease prediction, early diagnosis and personalised healthcare solutions.
• Process and analyse structured and unstructured health data (EHR, wearables, HL7/FHIR) and implement deep‑learning algorithms for predictive healthcare applications.
• Contribute to research on AI‑driven personalisation strategies to empower users in managing their health effectively.
• Develop AI‑powered accessibility solutions for Samsung products, leveraging multi‑modal AI (text, image, audio).
• Adhere to data privacy regulations (GDPR, MDR, HIPAA, EHDS) and implement ethical AI practices.
• Work with multidisciplinary teams to translate technical insights into actionable solutions for stakeholders.
• Maintain clear documentation and deliverables for EU projects, ensuring transparency and accountability.

Skills And Qualifications Essential

• A PhD in a related field with a good level of work experience, or a master’s degree with extensive work experience in the related field.
• Good understanding of cardiovascular diseases, risk factors and clinical workflows.
• Expertise in handling missing data, outliers and feature engineering.
• Experience in processing health data from various sources (EHR, wearables) and formats (e.g., HL7/FHIR, CSV, PDF, PNG, JPEG).
• Skilled in analysing time‑series data from wearable sensors or medical devices (e.g., ECG, PPG).
• Proficient in hypothesis formulation, testing and correlation analysis using Python.
• Experience with supervised/unsupervised learning and model interpretability (e.g., SHAP, LIME).
• Skilled in creating clear visualisations with Matplotlib or Seaborn.
• Expertise in metrics such as AUC‑ROC, precision, recall and cross‑validation techniques.
• Experience deploying predictive models in clinical settings or EHR systems.

Desirable

• Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA, EHDS).
• Ability to work with diverse teams and communicate technical insights effectively.
• Knowledge of deep learning, reinforcement learning and federated learning architectures.
• Familiarity with cloud platforms (AWS, GCP, Azure) and big‑data tools.
• Expertise in XAI, bias mitigation and ethical AI practices for healthcare.
• Experience with text, image and audio AI for accessibility applications.

Soft Skills

• Strong skills in clear documentation and reporting for EU project deliverables.
• Enthusiasm for AI applications in healthcare, energy and digital inclusion.
• Self‑learner with the ability to work independently and contribute effectively.
• Ability to thrive in dynamic environments, adapt to changing project requirements and meet deadlines effectively.

Employee Benefits

• Highly competitive salary with performance bonus up to 21.5 %.
• Employer pension contributions of 8.5 %.
• 25 days paid holiday (increasing to 30 days with time served).
• Life assurance, medical insurance and income protection.
• Flexible benefits scheme with £600 annually to spend on benefits.
• Samsung product discounts, subsidised employee restaurant and free parking.

Location and Hybrid Working

• The role is based at Samsung R&D Institute in Staines‑upon‑Thames, Surrey, UK.
• Hybrid working policy: 3 days onsite and 2 days working from home each week.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology – Computers and Electronics Manufacturing

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