1 to 25 of 217 Mathematics Jobs in the City of London

Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very More ❯

to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/ More ❯

to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/ More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

Management and Leadership · Decision-making and Problem Solving Your Profile: · Minimum years of experience in a related Financial Services discipline with a bachelor’s degree in economics, Computer Science, Mathematics or Scientific discipline from a top university · Knowledge of Greeks (e.g. Delta, Gamma, Vega) & Financial Derivatives · Knowledge of VaR, FRTB and Stress testing calculation · Ability to delve deep into a More ❯

Management and Leadership · Decision-making and Problem Solving Your Profile: · Minimum years of experience in a related Financial Services discipline with a bachelor’s degree in economics, Computer Science, Mathematics or Scientific discipline from a top university · Knowledge of Greeks (e.g. Delta, Gamma, Vega) & Financial Derivatives · Knowledge of VaR, FRTB and Stress testing calculation · Ability to delve deep into a More ❯

skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

governance and risk controls Requirements 3–5 years’ experience in machine learning engineering and/or applied data science Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience More ❯

predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention More ❯

on project ownership Ideal Candidate Profile 1 - 5 years of experience in a technical, data-focused, or quantitative role Bachelor's degree in a STEM field (Computer Science, Engineering, Maths, Physics, etc.) Strong Python skills for scripting, data processing, and API integration Solid SQL experience for data manipulation and querying Proficiency in Excel/VBA for reporting and automation Familiarity More ❯

organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention More ❯

on project ownership Ideal Candidate Profile 1 - 5 years of experience in a technical, data-focused, or quantitative role Bachelor's degree in a STEM field (Computer Science, Engineering, Maths, Physics, etc.) Strong Python skills for scripting, data processing, and API integration Solid SQL experience for data manipulation and querying Proficiency in Excel/VBA for reporting and automation Familiarity More ❯

in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn More ❯