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:
1. 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.
2. Work on AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, particularly in vision and cognitive support.
3. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses.
Main Responsibilities:
1. Develop and optimize machine learning models for disease prediction and early diagnosis.
2. Process and analyze structured and unstructured health data – Implement deep learning for predictive healthcare applications.
3. Contribute to the research on AI-driven user personalization for visually impaired individuals.
4. Develop AI-powered accessibility solutions.
5. Ensure compliance with data privacy and ethical AI guidelines.
Essential:
1. Machine learning & deep learning – Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn.
2. Strong skills in Python, experience with R or JavaScript is a plus.
3. Experience with health data processing – EHR, FHIR, wearable sensor data.
4. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools.
5. Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN).
6. Comprehensive knowledge of RAG and GraphRag systems and architecture.
7. Experience building ontologies in the e-commerce and semantic search spaces.
8. Knowledge Graph and RAG -AI Architecture.
Desirable:
1. Experience with OCR, image captioning, object detection for assistive technologies.
2. Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver).
3. Experience working in Horizon Europe, Digital Europe or other EU-funded research projects.
4. Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA).
5. Experience in multi-modal AI (text, image, audio) for accessibility applications.
6. Knowledge of Reinforcement Learning or Federated learning for decentralized AI solutions.
7. Familiarity with cloud platforms (AWS, GCP, Azure).
Soft Skills:
1. Ability to work in interdisciplinary, international research teams.
2. Clear documentation and reporting skills for EU project deliverables.
3. Passion for AI applications in healthcare, energy and digital inclusion.
4. Self-learner, independent contributor, proposal writing.
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