101 to 125 of 1,938 Mathematics Jobs in England

productionize them using MLOps best practices Develop batch and online inference for ML models Required Qualifications, Capabilities, and Skills MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience) Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails Strong ...

operational performance and analytics capability Other duties as assigned. Knowledge & Qualifications Undergraduate student only — enrolled at a UK university in Data Science, Computer Science, Mathematics, Statistics, or a related degree with a placement/sandwich year Predicted 2:1 or 1st Class Honours Academic or practical experience applying AI/ ...

Experience developing scalable, high-performance and well-structured production software. Some experience working with relational databases and SQL. A degree in Computer Science, Engineering, Mathematics, Physics, Statistics, Economics or a related discipline. A genuine interest in financial markets and quantitative finance. Java or another JVM-based language. Exposure to C++. ...

degree or Bachelor's degree in either Mechanical Engineering, Chemical Engineering, Petroleum Engineering, Electrical Engineering, or Industrial Engineering disciplines. Other high-level science or mathematics-based degrees will also be considered. Proficiency in Microsoft Excel for data analysis (formulas, pivot tables, charts). Working knowledge of Python or a similar ...

frameworks (including bias mitigation, transparency and hallucination safeguards). About You Essential Bachelor's degree in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, or a related STEM field). 2+ years of hands‐on experience developing and deploying machine learning or statistical models within a commercial environment. ...

algorithms and manufacturing support and collaborate with cross-functional for high level application coding. Qualifications Required Education: Honors degree in Computer science, Physics, Mathematics, or Engineering (with a strong Physics component) is strictly required. Note: A pure Computer Science degree without a scientific background will not be sufficient. Experience: 5+ ...

work with moving deadlines The ability to translate technical findings into business recommendations Education A minimum of 5 GCSE’s or equivalent including Maths and English Educated to A level standard or equivalent A degree or equivalent in a relevant subject such as Computer Science, Statistics or Finance The Ripe ...

ethical frameworks (including bias mitigation, transparency, and hallucination safeguards).About YouEssentialBachelor's degree in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, or a related STEM field).2+ years of hands-on experience developing and deploying machine learning or statistical models within a commercial environment.Advanced proficiency in Python ...

practice. Actively seek out new opportunities to learn and develop. KEY REQUIREMENTS: Degree in a quantitative or technical field such as computer science, engineering, mathematics, physics, statistics or data science Experience of successfully leading complex software or AI projects from design to deployment Experience working within the Defence sector ...

guides, and onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised ...

explain technical problems clearly and turn evidence into improvements. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Strong Python skills and proficiency in C++ Experience working with Linux operating systems and the ability to learn ...

inference techniques (e.g., Difference in Differences) to evaluate business impact outside of standard A/B testing. Education: Degree in Data Science, Statistics, Economics, Mathematics, Operations Research, or related field. Business Acumen: Understanding of pricing strategies, revenue optimization, and price elasticity. Soft Skills: Strong communication skills, ability to explain technical ...

outcomes and analytical findings clearly to team members and key stakeholders. What You’ll Bring: A strong STEM degree (including Data Science, Computer Science, Mathematics/Statistics, etc), or equivalent experience. Solid understanding of foundational data science concepts and statistical methods. Proficiency with Python and standard data science libraries (e.g. ...

Data Analysis : Strong statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods. Ability to apply statistical analysis techniques to analyze financial data. Mathematics and Machine Learning : Solid foundation in mathematical principles, including linear algebra and calculus, with a focus on regression analysis. Exposure to machine learning and deep ...

explain technical problems clearly and turn evidence into improvements. What we're looking for Bachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related field Strong Python skills and proficiency in C++ Experience working with Linux operating systems and the ability to learn ...

career in data solutions. Essentials A degree, equivalent qualification or demonstrable learning in a relevant subject such as data, computer science, software engineering, mathematics, statistics or a related discipline. 2:1 minimum A foundational understanding of databases, data pipelines, APIs, cloud platforms, data warehousing, analytics or software testing. Practical exposure ...

measurable value. You\’ll drive change, shape innovative solutions, and actively redefine how organisations harness data. What We\’re Looking For Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field. Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous. Experience with version control tools ...

desktop and web applications. Familiarity with Windows & Linux platforms in a commercial environment. Qualifications Geology/Geophysics degree Computer Science/Software Engineering degree Maths, Physics or other highly numerate degree ISEB/ISTQB qualified advantageous TechnicalCompetencies Reporting defects and liaising with various teams to ensure successful resolution. Excellent understanding ...

collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

continuous learning and self-improvement. Desirable Skills Certification from an analytics technology vendor. Insurance or financial services experience. Degree in science, computer science, mathematics or a similar quantitative discipline. About Hiscox As an international specialist insurer we are far removed from the world of mass market insurance products. Instead ...

strong written and spoken English Education A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree. Demonstrated, applied agentic AI capability is weighted alongside formal credentials Responsibilities ...

financial reporting. We actively use AI tools in our day-to-day analytical work. Requirements Degree educated within a quantitative field (e.g. Statistics, Economics, Mathematics, Computer Science, or equivalent) Solid experience in product analytics, data science, or a similar analytical role, with a track record of influencing product decisions through ...

align engineering decisions with business needs across product, engineering, and business teams. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Will Set You Apart: A track record of leading complex technical initiatives ...

prioritisation and sequencing of AI and predictive-modelling initiatives aligned with business objectives. Qualifications Advanced academic background in Data Science, Machine Learning, Statistics, Mathematics, Physics or a related quantitative discipline; postgraduate education is strongly preferred. Demonstrated experience developing machine-learning,AI or Generative AI-enabled predictive modelsfor biological, scientific, agricultural ...

deploying neural network models using PyTorch with focus on performance optimization and scalability Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field (Master's or PhD is strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud ...