Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract
Position Summary We have an exciting opportunity available for an AI/ML Engineer to join us in the Technology Incubation Lab here at Samsung Research UK. 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 the commercialization of Samsung products. The lab works on externally funded projects, collaborating with academia, industry, and public sector organizations to explore next-generation technologies before they are integrated into commercial offerings. The team's core focus areas include developing AI-powered predictive healthcare solutions that integrate real-world health data from wearables, IoT devices, and medical records to enhance early disease detection and personalized health monitoring, as well as creating AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, particularly in vision and cognitive support. This role is available on a 12 month fixed term contract basis. Role And Responsibilities
- Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions.
- Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications.
- Contribute to research on AI-driven personalization 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, HIPPA, 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.
- A PhD in the 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 visualizations with Matplotlib or Seaborn.
- Expertise in metrics like AUC-ROC, precision, recall, and cross-validation techniques.
- Experience deploying predictive models in clinical settings or EHR systems.
- 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.
- Strong skills in clear documentation and reporting skills for EU project deliverables
- Enthusiasm for AI applications in healthcare, energy and digital inclusion
- Self-learner with ability to work independently and contribute effectively
- Ability to thrive in dynamic environments, adapt to changing project requirements and meet deadlines effectively.
- Highly competitive salary with performance bonus up to 21.5%.
- Employer pension contributions of 8.5%.
- 25 days paid holiday (increasing to 30 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.
- The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
- Samsung currently operates a hybrid working policy of 3 days onsite and 2 days working from home weekly
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