3 of 3 Remote Applied Mathematics Jobs in the UK

expertise and are posed with all potential and skills necessary to help us meet future business challenges. Position not right for you? Share it with someone you know. Applied Machine Learning Engineer Reference: NOV Expiry date: 2025-11-:59:00.000 Location: Liverpool Location: Liverpool, hybrid (minimum 3 days on site per week) Are you ready to push the … boundaries of AI-driven sensing and digital diagnostics, contribute to technological innovation, and develop transformative tools for global health applications? We're looking for an Applied Machine Learning Engineer to join our multidisciplinary research and development team and play a key role in advancing intelligent healthcare sensor technologies within the Infection Innovation Technology Laboratory (iiTECH). You'll … into practice through collaborations, providing training and helping to secure research funding About you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise in developing, training, and validating machine learning and statistical models for predictive More ❯

distributed services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Requirements Bachelor's degree in Computer Science, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience Experience with Python and at least one compiled language, with a desire to learn and work More ❯

an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering … behave safely under live market conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Hard Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series More ❯