James Barrett — Consultant

I'm a researcher and lecturer with a deep focus on machine learning, explainable AI (XAI), and time series forecasting. My work bridges the gap between theory and application — building systems that not only perform well, but can be understood, trusted, and acted upon in real-world settings. Currently completing my PhD in XAI for telecoms forecasting, I've developed interactive ML tools, designed custom ensemble models, and led studies on human-in-the-loop decision systems. I’ve also taught at undergraduate level and contributed to curriculum design, giving me experience in communicating complex technical topics clearly and effectively. Whether it's developing interpretable forecasting models, structuring messy data into something usable, or helping others understand and trust the systems they’re working with — I focus on solving the problem, not just applying the method. I'm comfortable working across disciplines, collaborating with engineers, analysts, or researchers to deliver results that are both robust and usable. I'm interested in opportunities across industry, research, and consulting — particularly those that value rigour, clarity, and practical impact. If you're working on something complex and want someone who can make it make sense (and work reliably), feel free to reach out.

Stackforce AI infers this person is a Machine Learning and Telecommunications expert with a focus on explainable AI applications.

Location: Bristol, England, United Kingdom

Experience: 4 yrs 2 mos