Machine Learning/Semantic Web

microTECH Global LTD
Egham
2 months ago
Applications closed

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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.

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