Description
Digital Catapult is looking for a Senior Technology Specialist in AI to join our team of experts in applying cutting-edge AI to real-world challenges. In this pivotal role, you'll be the technical bridge between complex requirements and high-impact designs, turning visionary concepts into robust digital realities for a diverse range of stakeholders.
This initial focus of the role will be in our UK Digital Twin Centre programme where you will ensure that AI is best applied in our mission. Funded by the Belfast City Regional Deal and Innovate UK, the Centre is a powerhouse for accelerating the adoption of Digital Twins to give UK businesses a global competitive edge.
We are looking for an experienced applied technologist who understands intelligence as a system capability rather than standalone models. This is a senior hands-on role focused on how best to deploy machine learning into real-world operational systems, solving what matters.
Responsibilities
- Design and demonstrate machine learning approaches for anomaly detections, behaviour baselining, clustering, and predictive use-cases
- Support the engineering of operational systems utilising intelligence; translating analytical outputs into actionable recommendations and supporting operational decisions
- Ensure proposed intelligence approaches are grounded in reality, not unnecessarily complex and meet solution requirements around latency, safety, explainability, and accuracy
- Collaborate with solution architects and engineers to align intelligence approaches with the overall system architecture
- Develop demonstrators, prototypes, and technical collateral materials and to showcase solution approaches and communicate complex AI concepts to multidisciplinary stakeholders such as engineers, industry domain experts, business leaders, academics, and government representatives.
Requirements
- Demonstrable experience explaining complex AI concepts at the right level to different stakeholders
- Strong practical experience applying intelligence techniques to time series and sensor data ideally within operational, resource-constrained environments (e.g., edge AI, TinyML)
- Hands-on use of unsupervised or semi-supervised methods in live or near real-time contexts
- Understanding of data pipelines, APIs, and event-driven systems
- Strong software engineering discipline, with hands-on experience in Python or R for applied machine learning, including deploying, monitoring, and maintaining models in production environments
- Experience with incorporating intelligence into digital twin environments would be highly desirable
Salary £60-75k depending on skills and experience