Artificial Intelligence / Machine Learning Engineer in Staines

Location: Staines-upon-Thames, Surrey, UK

Working model: Hybrid 3 days onsite, 2 days remote

Fixterm 12 month Contract

About Our Client

Our client is a global technology leader with a dedicated innovation and incubation lab focused on transforming early stage research into real world, scalable products. The lab works on externally funded projects in collaboration with academic institutions, industry partners, and public sector organisations across Europe. Key focus areas include digital health, accessibility, and responsible AI, with strong emphasis on clinical relevance, regulatory compliance, and measurable impact.

Role Overview

Our client is seeking an experienced Artificial Intelligence / Machine Learning Engineer with a strong healthcare or biomedical background to join their Technology Incubation & Innovation Lab. The role focuses on developing AI driven predictive healthcare and accessibility solutions using real world data from wearables, IoT devices, and electronic health records. You will work on projects that bridge research and production, ensuring solutions are clinically meaningful, explainable, and compliant with healthcare regulations.

Key Responsibilities

• Design, develop, and optimise machine learning models for disease prediction, early diagnosis, and personalised healthcare
• Process and analyse structured and unstructured healthcare data, including EHRs, wearable sensor data, and medical signals
• Work with healthcare data standards such as HL7 and FHIR
• Develop and validate time series models using physiological signals such as ECG and PPG
• Apply explainable AI techniques to ensure transparency and trust in clinical settings
• Contribute to AI driven personalisation strategies for proactive health monitoring
• Develop AI powered accessibility solutions using multimodal AI across text, image, and audio
• Ensure compliance with healthcare regulations including GDPR, MDR, HIPAA, and EHDS
• Collaborate with multidisciplinary teams including clinicians, researchers, engineers, and external partners
• Produce clear technical documentation and structured deliverables for EU funded projects

Essential Qualifications and Experience

• PhD with at least 2 years of relevant experience, or MSc with at least 5 years of relevant experience, in biomedical engineering, health data science, machine learning, or a closely related field
• Strong understanding of cardiovascular diseases, clinical risk factors, and healthcare workflows
• Proven experience working with real world healthcare data, including EHRs and wearable devices
• Expertise in handling missing data, outliers, and feature engineering in medical datasets
• Strong experience in time series analysis for physiological signals such as ECG or PPG
• Proficiency in Python for data analysis, hypothesis testing, and machine learning
• Experience with supervised and unsupervised learning methods and model evaluation
• Strong understanding of metrics such as AUC ROC, precision, recall, and cross validation
• Experience deploying or validating predictive models in clinical or regulated healthcare environments
• Ability to create clear and meaningful data visualisations using tools such as Matplotlib or Seaborn

Desirable Skills and Experience

• Familiarity with healthcare regulatory and compliance frameworks
• Experience with deep learning, reinforcement learning, or federated learning approaches
• Experience with cloud platforms such as AWS, GCP, or Azure
• Knowledge of explainable AI, bias mitigation, and ethical AI practices
• Exposure to multimodal AI including text, image, and audio based models
• Experience contributing to EU funded research or innovation programmes

Soft Skills and Personal Attributes

• Strong documentation and reporting skills for structured project deliverables
• Passion for applying AI to healthcare, accessibility, and digital inclusion
• Ability to work independently while collaborating effectively with diverse teams
• Comfortable working in a research driven environment with evolving requirements
• Strong communication skills, able to translate technical work into clear insights

Additional Information

Our client operates under strict confidentiality and trade secret policies. Candidates must not disclose proprietary or confidential information from previous employers during the recruitment process.