Artificial Intelligence / Machine Learning Engineer – 6 Month Fixed Term Full-time

Position Summary

We have an opportunity available for an experienced AI/ML Engineer to join us here at Samsung Research UK (SRUK).

The role sits within the Technology Incubation Lab at SRUK, which is dedicated to developing and validating cutting-edge solutions across health, accessibility and energy, bridging the gap between early-stage research and commercialization of Samsung products. We work on externally funded projects, leveraging collaborations with academia, industry and public sector organizations to explore next-generation technologies before they are integrated into commercial offerings.

This position requires immediate start so we politely request that you only apply if you are available to start within 1 month of accepting the role. This means unfortunately visa sponsorship is not available.

Role and Responsibilities

The core focus area of our team is threefold;

• Develop AI-powered predictive healthcare solutions, integrating real-world health data from wearables, IoT devices and medical records to enhance early disease detection and personalized health monitoring
• Work on AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, particularly in vision and cognitive support
• Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses

Main Responsibilities:

• Develop and optimize machine learning models for disease prediction and early diagnosis
• Process and analyze structured and unstructured health data – Implement deep learning for predictive healthcare applications
• Contribute to the research on AI-driven user personalization for visually impaired individuals
• Develop AI-powered accessibility solutions for Samsung products
• Ensure compliance with data privacy and ethical AI guidelines

Skills and Qualifications

Essential:

• Machine learning & deep learning – Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn
• Strong skills in Python, experience with R or JavaScript is a plus
• Experience with Health data processing – HER, FHIR, Wearable sensor data
• Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools
• Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
• Comprehensive knowledge of RAG and GraphRag systems and architecture
• Experience building ontologies in the e-commerce and semantic search spaces
• Knowledge Graph and RAG -AI Architecture

Desirable:

• Experience with OCR, Image captioning, object detection for assistive technologies
• Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver)
• Experience working in Horizon Europe, Digital Europe or other EU-funded research projects
• Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA)
• Experience in multi-modal AI (text, image, audio) for accessibility applications
• Knowledge of Reinforcement Learning or Federated learning for decentralised AI solutions
• Familiarity with cloud platforms (AWS, GCP, Azure)

Soft Skills:

• Ability to work in interdisciplinary, international research teams
• Clear documentation and reporting skills for EU project deliverables
• Passion for AI applications in healthcare, energy and digital inclusion
• Self-learner, independent contributor, proposal writing.

Contract Type: 6 Month Fixed Term Contract

Location: Staines-upon-Thames, Surrey, UK

Hybrid Policy: 3 days onsite and 2 days working from home weekly Employee Benefits: Highly competitive salary, performance bonus up to 21.5%, 25 days holiday + Bank Holidays, life assurance, medical insurance, income protection, flexible benefits scheme with £600 annually to spend on them, Samsung product discounts, subsidised employee restaurant and free parking

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

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