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Artificial Intelligence​/Machine Learning Engineer

Remote / Online - Candidates ideally in
Staines-upon-Thames, Surrey County, England, UK
Listing for: Samsung Electronics
Contract, Remote/Work from Home position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
Position: Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

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

Direct message the job poster from Samsung Electronics

Join Samsung Research UK:
Shape the Future of AI in Healthcare and Accessibility!

Are you passionate about leveraging artificial intelligence to transform healthcare and improve accessibility? Samsung Research UK invites you to join our Technology Incubation Lab as an AI/ML Engineer
! This is your chance to work on groundbreaking projects that bridge cutting‑edge research with real‑world applications, making a meaningful impact on people’s lives.

What You’ll Do
  • Innovate in Healthcare
    :
    Develop and optimize machine learning models for disease prediction, early diagnosis, and personalized healthcare solutions.
  • Process Diverse Data
    :
    Analyze structured and unstructured health data from wearables, IoT devices, and medical records to enhance early disease detection.
  • Drive Accessibility
    :
    Create AI‑powered solutions to improve digital and physical accessibility for individuals with disabilities, focusing on vision and cognitive support.
  • Collaborate Across Disciplines
    :
    Work with multidisciplinary teams to translate technical insights into actionable solutions for stakeholders.
  • Ensure Ethical AI
    :
    Adhere to data privacy regulations (GDPR, MDR, HIPAA, EHDS) and implement ethical AI practices.
Who You Are
  • A PhD in a related field with some work experience or a Master’s Degree with extensive relevant experience.
  • Expertise in handling missing data, outliers, and feature engineering.
  • Proficient in Python for hypothesis formulation, testing, and correlation analysis.
  • Experience with supervised/unsupervised learning and model interpretability (SHAP, LIME).
  • Skilled in creating visualizations with Matplotlib or Seaborn.
  • Experience deploying predictive models in clinical settings or EHR systems.
  • Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA, EHDS).
  • Knowledge of Deep Learning, Reinforcement Learning, and Federated Learning architectures.
  • Experience with cloud platforms (AWS, GCP, Azure) and big data tools.
  • Expertise in XAI, bias mitigation, and ethical AI practices for healthcare.
Soft Skills
  • Strong documentation and reporting skills for EU project deliverables.
  • Enthusiasm for AI applications in healthcare, energy, and digital inclusion.
  • Self‑motivated with the ability to thrive in dynamic environments.
Why Join Us?
  • Impactful Work
    :
    Contribute to projects that improve healthcare outcomes and accessibility for millions.
  • Innovative Environment
    :
    Be part of a team dedicated to exploring next‑generation technologies.
  • 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.
Location and Hybrid Working
  • Based at Samsung R&D Institute in Staines‑upon‑Thames, Surrey, UK.
  • Hybrid working policy: 3 days onsite and 2 days working from home weekly.
Seniority level
  • Mid‑Senior level
Employment type
  • Contract
Job function
  • Engineering, Research and Analyst
  • Industries:
    Computers and Electronics Manufacturing, Telecommunications, Appliances and Electrical Engineering
Application

If you’re excited about the opportunity to innovate in AI/ML and contribute to transformative projects in healthcare and accessibility, apply now! Join Samsung Research UK and be part of a team that’s shaping the future.

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