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- Tasks: Develop AI solutions for healthcare, accessibility, and energy management.
- Company: Join microTECH Global LTD, a leader in innovative AI technology.
- Benefits: Competitive salary, dynamic team environment, and impactful projects.
- Why this job: Make a difference with AI while working on cutting-edge technology.
- Qualifications: Experience in machine learning, deep learning, and health data processing.
- Other info: Immediate start required; great opportunity for career growth.
The predicted salary is between 42000 - 84000 £ per year.
Direct message the job poster from microTECH Global LTD.
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.
- Machine learning & deep learning – Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn.
- 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.
- 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.
Seniority level
Mid-Senior level
Employment type
Temporary
Job function
Industries: Semiconductor Manufacturing
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Machine Learning/Semantic Web employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/Semantic Web
✨Tip Number 1
Don't just sit back and wait for the job to come to you! Slide into the DMs of the job poster at microTECH Global LTD. A direct message can show your enthusiasm and give you a chance to stand out from the crowd.
✨Tip Number 2
Get your networking game on! Connect with professionals in the AI/ML field, especially those who have experience in healthcare solutions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 3
Show off your skills! If you’ve got projects or a portfolio that highlights your machine learning expertise, make sure to share it. This is your chance to demonstrate your capabilities beyond just a CV.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're serious about joining our team and ready to dive into exciting AI projects.
We think you need these skills to ace Machine Learning/Semantic Web
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with AI, machine learning, and the specific technologies mentioned in the job description. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI applications in healthcare and accessibility. Share specific examples of your work that relate to the role – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We’re keen to see your hands-on experience with machine learning models and data processing.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with health data processing and how you've applied deep learning in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI projects, especially those related to predictive healthcare or accessibility solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Ethical Side
Familiarise yourself with data privacy regulations like GDPR and ethical AI guidelines. Be prepared to discuss how you ensure compliance in your work, as this is crucial for the role.
✨Demonstrate Your Passion
Let your enthusiasm for AI applications in healthcare and energy shine through. Share any personal projects or research that align with the company's focus areas, showing that you're not just qualified but genuinely interested in making an impact.
