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- Tasks: Join our team to develop AI solutions for healthcare, accessibility, and energy management.
- Company: We're a forward-thinking company based in Egham, focused on innovative AI applications.
- Benefits: Enjoy flexible working options and the chance to make a real impact in your field.
- Why this job: Be part of a mission-driven team that enhances lives through technology and sustainability.
- Qualifications: Proficiency in machine learning, Python, and knowledge of Semantic Web technologies required.
- Other info: Immediate start needed; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
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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Machine Learning/Semantic Web - FTC (6 Months) - West London employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/Semantic Web - FTC (6 Months) - West London
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and semantic web technologies. Being well-versed in tools like TensorFlow, PyTorch, and knowledge of transformer models will give you a competitive edge during discussions.
✨Tip Number 2
Engage with online communities or forums related to AI and healthcare. Networking with professionals in these areas can provide insights into current trends and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world applications of your skills, especially in predictive healthcare and accessibility solutions. Having concrete examples ready can demonstrate your practical experience and passion for the role.
✨Tip Number 4
Stay updated on data privacy regulations like GDPR and HIPAA, as compliance is crucial in this field. Showing your understanding of these frameworks can set you apart as a candidate who is not only skilled but also responsible.
We think you need these skills to ace Machine Learning/Semantic Web - FTC (6 Months) - West London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning, particularly with TensorFlow and PyTorch. Include specific projects or roles that demonstrate your skills in processing health data and developing AI solutions.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI applications in healthcare and accessibility. Mention any relevant experience with semantic web technologies and how you can contribute to the team's goals.
Showcase Relevant Projects: If you have worked on projects involving health data processing, AI-driven accessibility solutions, or energy management systems, be sure to include these in your application. Provide links to your work or a portfolio if possible.
Highlight Soft Skills: Don’t forget to mention your ability to work in interdisciplinary teams and your clear documentation skills. These soft skills are essential for the role and should be evident in your application.
How to prepare for a job interview at microTECH Global Limited
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've developed or optimised models, especially in healthcare applications, as this will demonstrate your hands-on experience.
✨Understand the Role's Focus Areas
Familiarise yourself with the specific areas the team is working on, such as AI-powered predictive healthcare solutions and accessibility technologies. This knowledge will allow you to tailor your responses and show genuine interest in their mission.
✨Prepare for Ethical Discussions
Given the emphasis on data privacy and ethical AI guidelines, be ready to discuss how you approach these issues in your work. Highlight any relevant experiences or frameworks you’ve worked with, such as GDPR or HIPAA compliance.
✨Demonstrate Interdisciplinary Collaboration
Since the role involves working in interdisciplinary teams, share examples of how you've successfully collaborated with diverse groups. Emphasise your communication skills and ability to adapt to different perspectives, which are crucial for this position.
