1 to 25 of 666 PhD Jobs in London

evaluating emerging machine learning techniques and AI technologies. Share knowledge and best practices across the research and technology teams. Required Qualifications Education MSc or PhD in Machine Learning, Statistics, Mathematics, Physics, Computer Science, Econometrics, Economics, or a related quantitative discipline. Equivalent practical experience demonstrating significant quantitative and machine learning expertise. ...

Qualifications: Educated to degree level in Computer Science, Engineering, Mathematics, or a related technical discipline (or equivalent professional experience). Postgraduate qualifications (e.g., MSc, PhD) in AI, Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidateâs experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers ...

textual information. Qualifications A graduate from a relevant technical degree qualification in Data Science related course, GIS/Computer Science. A masters degree or PhD would be an added advantage with 7 years' or more experience. A place for everyone Buro Happold values an individual's flexible approaches to working ...

Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning**, or a related quantitative field.**Master's or equivalent experience or PhD preferred.**## WHAT YOU’LL GET IN RETURN## HIGH-IMPACT AI LEADERSHIPLead the development of **next-generation AI products**, demonstrating large-scale datasets, advanced AI models ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures ...

of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data pipelines, including data ingestion, feature engineering ...

high-velocity environment, employ agile development practices, and 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 ...

code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Qualifications Essential MSc or PhD degree in a quantitative field. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical ...

performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education Undergraduate degree with significant quantitative research experience or MSc/MEng/PhD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills Highly proficient in programming (R/Python/Java ...

skills, including the ability to explain complex methodology to diverse audiences, mentor technical practitioners, and share knowledge across a team. Nice to have: A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms. Experience ...

Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals ...

Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals ...

Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals ...

with it, and make that case clearly to both technical teams and senior stakeholders who aren't.Bonus points forAn advanced degree (Master's or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering.Experience in BNPL, credit cards, or other transaction-heavy payment products.You ...

landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field. 5+ years of experience in quantitative research related to execution ...

teams Excellent communication skills, with the ability to present technical concepts to senior business stakeholders and non‐technical audiences Preferred Qualifications, Capabilities, and Skills PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Experience leading AI/ ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures ...

team. Strong programming skills in Python and experience with ML libraries such as PyTorch or vLLM. Working towards or holding a Masters or PhD in NLP or a related quantitative field (machine learning, computer science, mathematics, statistics, physics or engineering). Publications at leading NLP conferences (ACL, EMNLP ...

technical hiring, and share knowledge. Collaborate closely with peers to bring research from prototype to production. We're looking for candidates who have A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data‐intensive problems. Expert‐level ...

with Traders, Structurers and senior stakeholders. A Bachelor's or Master's degree in a relevant discipline is expected, with a Master's or PhD preferred. Core Technology Stack C++ | Python | C#/.NET | Java | SQL | kdb | Mathematical Finance | Statistics & Probability | Monte Carlo | PDEs | Market Data | Quantitative Analytics | Pricing & Risk ...

designing and delivering production architectures Act as an individual contributor; optional management responsibility may be available depending on experience Требования: Master's or PhD in a quantitative discipline, such as Computer Science, Mathematics, or Statistics Solid understanding of statistics, optimization, and ML theory, with familiarity with deep learning architectures such ...

Pacific, London, and New York, leveraging J.P. Morgan's sophisticated solutions and global resources. Required Qualifications, Capabilities, and Skills Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Computer Science, Physics, Engineering, or equivalent. Experience working with quantitative investment strategies and derivatives, ideally with cross-asset ...