Mark Worrall

Co-Founder

London, England, United Kingdom15 yrs 11 mos experience

Highly Stable

Key Highlights

Founder of a mastery-driven learning platform
Expertise in machine learning and data science
Strong background in quantitative research and risk management

Stackforce AI infers this person is a leader in EdTech and Data Science with a focus on AI-driven learning solutions.

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Skills

Core Skills

Machine LearningPythonData ScienceNlpBayesian ModellingStatistical ModellingQuantitative Risk ManagementQuantitative Modelling

Other Skills

Cognitive ScienceProbabilistic Time-Series ForecastingApplied Machine LearningRMATLABSQLDeep LearningPyTorchComputer VisionStatisticsNatural Language Processing (NLP)

About

I work at the intersection of learning science, philosophy, and technology - helping people learn faster, understand more deeply, and keep their edge in a world increasingly run by algorithms. The future belongs to those who can learn, adapt, and create - not just consume whatever AI produces next week. I call this idea The Infinite Human. It stands for human agency and mastery in an age of intelligent machines. At the centre of that mission is Nodeledge - a mastery‑based learning platform built on cognitive science for people who want to develop expertise in Python, machine learning and the mathematics behind it. Most online learning is edutainment: flashy videos, shallow quizzes, no feedback, and no accountability. Nodeledge fixes that by breaking complex topics into tiny, logical steps connected by strict prerequisites. You practise actively, get precise feedback, and only move on when you’ve truly mastered each step. Before building Nodeledge, I spent years in quantitative research and technical leadership, building ML systems that had to work in production. That experience made one thing clear: most technical learning is surface‑level. Education should demand mastery, not mimicry - and that’s the future I’m working toward. ➤ Follow me for insights on learning science, philosophy, AI, and the journey of building a human‑centric future. ➤ Learn more at theinfinitehuman.ai and nodeledge.ai

Experience

15 yrs 11 mos

Total Experience

3 yrs 6 mos

Average Tenure

1 yr 9 mos

Current Experience

Nodeledge.ai

Founder

Jul 2024 – Present · 1 yr 9 mos · London Area, United Kingdom · Hybrid

Nodeledge is the science-backed, mastery-driven learning platform for professionals who demand genuine understanding in Python, ML, and advanced technical fields.

PythonMachine LearningCognitive Science

Faculty

4 roles

Lead Research / Data Scientist

Promoted

Jan 2022 – Jun 2024 · 2 yrs 5 mos · London, England, United Kingdom

Technical lead for several squads spanning both Product and R&D.
Led cross-functional teams with software engineers, research engineers and data scientists.
Proficient across the full-stack for data science.
Key focus areas: data science tooling, Bayesian modelling, probabilistic time-series forecasting, NLP.

Data ScienceBayesian ModellingNLPProbabilistic Time-Series Forecasting

Senior Data Scientist

Jun 2021 – Dec 2021 · 6 mos · London, England, United Kingdom

Worked in R&D focused on Bayesian modelling and probabilistic time-series forecasting.

Bayesian ModellingProbabilistic Time-Series ForecastingData Science

Senior Data Scientist

Promoted

Jul 2020 – Jun 2021 · 11 mos · London, England, United Kingdom

Technical lead for the build and delivery of applied machine learning projects.

Applied Machine LearningMachine Learning

Data Scientist

Sep 2019 – Jul 2020 · 10 mos · London, England, United Kingdom

Career change into applied machine learning.
Worked on projects with extensive elements of applied machine learning - this was typically the development of bespoke solutions across a range of domains, including: deepfake detection, synthetic data generation, event-based simulation, time-series forecasting, anomaly and fraud detection and many more.

Applied Machine LearningMachine Learning

Aberdeen asset management

3 roles

Investment Manager | Quant

May 2015 – Jun 2018 · 3 yrs 1 mo · London, United Kingdom

Statistical modelling of financial markets and portfolio risk for multi-asset funds.
Responsible for developing investment strategies and deploying into production.
Languages used: Python, R and MATLAB

Statistical ModellingPythonRMATLAB