Job Specifications
Artificial Intelligence / Machine Learning Engineer
Technology Incubation & Innovation Lab
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.