Roles
Circadacare
AI Engineer
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Description
Hybrid requirements: 3 days per week in the office.
Reports to: CTO
Location: Newcastle upon Tyne (Hybrid/Remote options available)
About Us
Circadacare is an innovative Newcastle-based start-up developing cutting-edge technology to help people live safely and independently for longer. Our product combines advanced AI systems with sophisticated hardware to create solutions that enhance wellbeing and quality of life. We’re expanding our capabilities with state-of-the-art machine learning approaches to create technology that makes a meaningful difference in people’s lives.
Role Overview
We’re seeking an experienced AI Engineer to join our growing team and lead the development of advanced machine learning models. You’ll work closely with our CTO and technical team to develop sophisticated AI systems that leverage multimodal data for pattern recognition and insight generation, while maintaining strong privacy and security standards. This is an opportunity to work on cutting-edge technology that directly improves people’s lives through innovative applications of AI.
Key Responsibilities
Design and implement advanced machine learning models for multimodal data analysis
Develop innovative approaches for temporal pattern recognition and behavioural analysis
Create and optimize algorithms for real-time data processing on edge devices
Implement privacy-preserving computing architectures
Collaborate with the technical team to integrate AI models into our platform
Evaluate and optimize model performance across diverse datasets
Contribute to the development of explainable AI frameworks
Technical Skills & Tools
Core Technologies:
Languages (Python)
Frameworks (PyTorch, NumPy, Pandas, Scikit-learn, ONNX Runtime)
Statistical approaches (Frequentist and Bayesian modelling)
AI/ML Methods:
Model architectures (Deep learning, Computer vision, Natural language processing)
Analysis techniques (Time series, Anomaly detection, Transfer learning)
Data processing (Signal processing, Multimodal fusion, Feature engineering)
Deployment & Production:
Edge computing (SBCs, Linux, TinyML, TensorFlow Lite, Resource optimization, Quantization, Efficient inference)
Privacy & Security (Privacy-preserving ML, Edge architectures, Data minimization)
Requirements
MSc or PhD in Computer Science, AI, Machine Learning or related field
5+ years of experience in developing and deploying machine learning models
Strong expertise in multiple areas from our technical skills list
Excellent problem-solving skills and ability to work in a fast-paced startup environment
Passion for creating technology with positive social impact
Desirable
Experience with embedded programming languages, such as C/C++ or Rust
Experience with IoT or smart home technologies
Knowledge of data privacy regulations
Background in embedded systems
Experience with edge AI deployment
This role offers an exciting opportunity to apply cutting-edge AI techniques to create technology that enhances independence and wellbeing through intelligent, privacy-respecting systems.
Role tech stack
Life at
Circadacare
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Culture overview
Circadacare’s seasoned team boasts over 30 years of combined experience in circadian light technology, underpinned by pioneering research into the intrinsic links between circadian rhythm and neuroscience.
Employee benefits
Laptop
Pension
Share Options
Office vibe
City Centre
Open Plan
Location
Tech at
Circadacare
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Leadership
Tim Wiles
CTO
Tech overview
Circadacare's Heleos system merges breakthrough circadian lighting with AI monitoring to revolutionize elder care. By regulating natural light patterns, this technology actively enhances wellbeing—improving cognition, reducing falls, alleviating sundowning symptoms, and restoring healthy sleep cycles, all while allowing loved ones to live independently longer.
With unanimous positive feedback from users, this unobtrusive system provides families and caregivers peace of mind while preserving dignity. Co-developed with care experts, Heleos represents the intersection of cutting-edge science and compassionate care, offering a powerful solution to one of aging's greatest challenges.
Engineering principles
Collective code ownership
Communication and collaboration
Continuous Development
Continuous integration
Infrastructure as code
Refactoring
Company tech stack
