Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning/Semantic Web

microTECH Global LTD
Egham
4 weeks ago
Create job alert

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:

  1. 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.
  2. Work on AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, particularly in vision and cognitive support.
  3. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses.

Main Responsibilities:

  1. Develop and optimize machine learning models for disease prediction and early diagnosis.
  2. Process and analyze structured and unstructured health data – Implement deep learning for predictive healthcare applications.
  3. Contribute to the research on AI-driven user personalization for visually impaired individuals.
  4. Develop AI-powered accessibility solutions.
  5. Ensure compliance with data privacy and ethical AI guidelines.
  6. Machine learning & deep learning – Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn.
  7. Experience with Health data processing – HER, FHIR, Wearable sensor data.
  8. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools.
  9. Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN).
  10. Comprehensive knowledge of RAG and GraphRag systems and architecture.
  11. Experience building ontologies in the e-commerce and semantic search spaces.
  12. Knowledge Graph and RAG -AI Architecture.
  13. Experience with OCR, Image captioning, object detection for assistive technologies.
  14. Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver).
  15. Experience working in Horizon Europe, Digital Europe or other EU-funded research projects.
  16. Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA).
  17. Experience in multi-modal AI (text, image, audio) for accessibility applications.
  18. Knowledge of Reinforcement Learning or Federated learning for decentralised AI solutions.
  19. Familiarity with cloud platforms (AWS, GCP, Azure).

Soft Skills:

  1. Ability to work in interdisciplinary, international research teams.
  2. Clear documentation and reporting skills for EU project deliverables.
  3. Passion for AI applications in healthcare, energy and digital inclusion.
  4. Self-learner, independent contributor, proposal writing.

Seniority level

Mid-Senior level

Employment type

Temporary

Job function

Industries: Semiconductor Manufacturing


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist (Semantic Search/Recommender Systems)

Senior Data Scientist

Senior Data Scientist

Principal Data Scientist

Data Scientist Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.