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Machine Learning / Semantic Web - FTC (6 Months) - West London

microTECH Global LimitedEgham, England, United Kingdom

30+ days ago

Job type

Full-time

Job description

Machine Learning / Semantic Web - FTC (6 Months) - West London

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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Month Ftc • Egham, England, United Kingdom

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