Chris Morter
Senior Machine Learning Engineer at Secondmind
Cambridge, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolChris Morter is a Senior Machine Learning Engineer based in Cambridge with 11 years of experience building production-grade systems that bridge probabilistic modelling and reinforcement learning. At Secondmind he helps deliver VUKU, an AI platform for autonomous decision-making in complex environments, following earlier roles developing optimisation and scheduling software for industrial customers and HR-focused web applications. Trained in mathematics at the University of Oxford, he pairs rigorous quantitative foundations with hands-on engineering across .NET and AI stacks, and a history of shipping automated test suites and scheduler engines. Notably, his career progression shows a steady shift from applied engineering and testing into decision-focused ML, bringing practical product experience to research-driven models.
11 years of coding experience
7 years of employment as a software developer
Cottenham Village CollegeMathematics MA, II.1, Mathematics MA, II.1 at University of OxfordHills Road Sixth Form College
Github Skills (24)
toolbox9
bayesian-statistics9
gaussian-processes9
manifold9
meta-learning9
stochastic-processes9
bayesian9
information-theory9
gpflow9
gaussian9
optimization8
machine-learning8
variational-inference7
tensorflow7
deep-learning7
Programming languages (2)
Github contributions (5)
ChrisMorter/trieste
Nov 2021 - Nov 2024
A Bayesian optimization toolbox built on TensorFlow
Contributions:10 pushes, 5 branches in 2 years 11 months
toolboxoptimizationmachine-learningtensorflowbayesian-optimization
ChrisMorter/GPflow
Aug 2020 - Jun 2023
Gaussian processes in TensorFlow
Contributions:17 pushes, 4 branches in 2 years 10 months
gaussiangaussian-processestensorflow
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