6 of 6 Applied Mathematics Jobs in London

to ensure research translates into robust trading systems. Iteratively improve models through experimentation, analysis, and deployment feedback. Requirements Background and experience required Degree in Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative field. 1–5 years of experience in quantitative research, applied machine learning, or data science (finance experience is a plus, but More ❯

hour windows, 2–3 times per week) to review trading simulations, debug models, and exchange quantitative and technical insights. Requirements Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading. Deep understanding of market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming 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 ❯

consuming programming steps, helping manufacturing teams increase productivity and consistency across their workflows. We are a growing engineering-led organisation with strong expertise across software development, applied mathematics, and real-world machining. The Opportunity We are expanding a core engineering group focused on machining strategy and automated toolpath reasoning. This role involves designing and implementing new computational … runtime considerations. Ability to collaborate effectively with a multidisciplinary engineering team. Clear communication skills and the ability to explain complex technical topics. Degree or equivalent background in Computer Science, Mathematics, Physics, Engineering, or a related technical discipline. Helpful Additional Experience Knowledge of computational geometry, CAD/CAM workflows, CNC machining, or manufacturing processes. Familiarity with geometric modeling kernels, simulation More ❯

pipelines for large-scale test data processing. As the successful Systems Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field. Additional Information: Candidates MUST be eligible to work and live in the UK. Copies of Visa and Passport will be requested. Salary/Benefits: In addition … of Benefits including Hybrid and Flexible Working, Stock Options, 25 days holiday, and relocation assistance. Skills: . Optimisation, Algorithm, Optical Networks, Software, Hardware, Test, Computer Science, Electronic Engineering, Applied Mathematics. To Apply Direct: Please send CV to Iona Mulligan More ❯

required to succeed in this role. Qualifications: As the successful Test Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field. Additional Information: Candidates MUST be eligible to work and live in the UK. Copies of Visa and Passport will be requested. Salary/Benefits: In addition … relocation assistance. Job Term: Permanent, Full Time, Hybrid (min 3 days onsite) Skills: . Test Optimisation, Algorithm, Optimisation Algorithms, Optical Networks, Software, Hardware, Test, Computer Science, Electronic Engineering, Applied Mathematics. More ❯