1 to 25 of 1,345 Mathematics Jobs in the UK

like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric More ❯

as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you More ❯

/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering within capital markets; proven 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 ❯

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 ❯

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 ❯

energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative field. Experience deploying machine learning models in a cloud environment. Experience using version control tools such as More ❯

energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative field. Experience deploying machine learning models in a cloud environment. Experience using version control tools such as More ❯

energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative field. Experience deploying machine learning models in a cloud environment. Experience using version control tools such as More ❯

/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Experience: 5+ years of professional experience as a Data Scientist, with a proven track record of building and deploying ML models in a financial services environment (Banking More ❯

and testing. Ensure information security compliance in line with Government regulations. Role Requirements Willing and able to obtain SC clearance; DV clearance later. Essential Qualifications & Skills Degree in engineering, mathematics, science, or equivalent experience. Experience in at least one of: Embedded Linux development, kernel/driver work, or programming in C/C++ or Rust. Knowledge of software development lifecycles More ❯

e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at More ❯

reports on model design and performance Provide mentorship to junior quants and contribute to a culture of innovation and technical excellence About You Postgraduate degree (MSc or PhD) in Mathematics, Physics, Engineering, or Quantitative Finance 10+ years’ experience in quantitative development, with strong programming expertise in C++ or C# Deep understanding of derivatives pricing and risk management, including stochastic calculus More ❯

reports on model design and performance Provide mentorship to junior quants and contribute to a culture of innovation and technical excellence About You Postgraduate degree (MSc or PhD) in Mathematics, Physics, Engineering, or Quantitative Finance 10+ years’ experience in quantitative development, with strong programming expertise in C++ or C# Deep understanding of derivatives pricing and risk management, including stochastic calculus More ❯

reports on model design and performance Provide mentorship to junior quants and contribute to a culture of innovation and technical excellence About You Postgraduate degree (MSc or PhD) in Mathematics, Physics, Engineering, or Quantitative Finance 10+ years’ experience in quantitative development, with strong programming expertise in C++ or C# Deep understanding of derivatives pricing and risk management, including stochastic calculus More ❯

practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products that solve complex, high-value challenges using More ❯

prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯

the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP’s for algorithm design is highly desirable but not essential Ability to gain More ❯

the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP s for algorithm design is highly desirable but not essential Ability to gain 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 ❯

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 ❯

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 ❯