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We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham.
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 Ensure compliance with data privacy and ethical AI guidelines
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.
