Probability Theory Jobs in the UK excluding London

5 of 5 Probability Theory Jobs in the UK excluding London

Mid/Senior Quant

london, south east england, united kingdom
BettingJobs
of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯
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Sports Quant

london, south east england, united kingdom
Hybrid / WFH Options
Harrington Starr
analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯
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Senior Data Analysis

london, south east england, united kingdom
BettingJobs
a team of quants, developers, and analysts, to combine technical expertise with football knowledge. 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries ~ Strong Programming skills, ideally in Python ~ Knowledge of SQL and relational databases ~ Experience in More ❯
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Quantitative Analyst, Power & Gas

london, south east england, united kingdom
Gunvor
learning techniques: Good to have latest applied machine knowledge to improve models Statistics/Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, distribution/probability theory. Data Science: Time series analysis, Object Oriented Programming, Business intelligence, Databases. Fundamental Knowledge: Good to understand the European Power/Natural Gas markets More ❯
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Head of AI

london, south east england, united kingdom
Humanoid
engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in More ❯
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