For over sixteen years, Campbell North has operated at the intersection of advanced analytics, quantitative research, and technology. We’ve witnessed and supported the evolution from statistical modeling and quantitative finance through to today’s era of Machine Learning and Artificial Intelligence.
Our long-standing relationships with the world’s leading researchers and engineers mean we’re uniquely positioned to help organisations build exceptional AI capability and to guide individuals seeking their next step at the frontier of innovation.
We operate in the following areas:
Quantitative Finance
Machine learning may be reshaping finance today, but predictive modelling has been at its core for decades.
We’ve partnered with the most advanced quant firms throughout this evolution, connecting them with exceptional researchers and engineers driving innovation in trading, forecasting, and optimisation.
AI Startups & Scale-Ups
From foundation-model ventures to applied AI innovators, we work with deep-tech founders scaling teams at speed.
Our understanding of frontier research and commercial deployment enables us to identify the rare individuals who thrive in dynamic, high-impact environments.
Enterprise & Technology Firms
Established technology and non-quant enterprises are building internal AI capabilities at scale.
We support their growth by sourcing machine learning experts who can embed advanced intelligence into core products, services, and platforms.
Machine Learning Research and Application
Our heritage in quantitative research naturally extends to the rapidly advancing world of AI and machine learning.
We partner with the leading minds who are pushing technical boundaries - from academic researchers and applied scientists to research engineers translating discovery into production.
With deep networks across finance, technology, and emerging AI ventures, we understand what it takes to identify and attract true scientific talent.
Research Scientists
Designing and advancing the frontier of intelligence.
We represent leading researchers developing novel architectures, generative models, and multimodal systems, many with publications in NeurIPS, ICML, ICLR, and CVPR.
Applied Scientists
Bridging discovery and deployment.
Our network includes specialists who transform complex theory into measurable business value from algorithmic trading to autonomous systems and AI-driven decision tools.
Research Engineers
Engineering scientific ideas into scalable systems.
We partner with engineers fluent in both research and software - optimising training pipelines, data efficiency, and performance across distributed environments.
Core AI Technology & Infrastructure
Behind every high-performing AI system is a foundation of robust technology and engineering excellence.
We work with experts building and maintaining the infrastructure that allows research to scale - enabling experimentation, deployment, optimisation, and secure operation across complex distributed systems.
Our focus spans ML optimisation, MLOps platforms, and AI system security - the backbone of modern AI performance.
ML Optimisation Engineers
Driving performance and efficiency at scale.
These experts refine training systems, optimise compute utilisation, and push the limits of throughput and latency across large-scale ML platforms.
Platform & MLOps Engineers
Building the foundation for intelligent systems.
We work with technologists developing infrastructure for experimentation, deployment, and monitoring - the frameworks that make modern AI possible.
Security & Reliability Specialists
Ensuring resilience in AI systems.
As models grow in complexity and scale, we help firms find experts focused on data integrity, privacy, and secure model deployment across sensitive environments.
