Machine Learning/Semantic Web - FTC (6 Months) - West London
UK - West London
On-Site
Permanent
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.
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.
19003U9S
| Software & Artificial Intelligence: | A.I. / Machine Learning |
