1 to 25 of 174 PhD Jobs in London

written, with the ability to engage partners and stakeholders on complex and technical topics with clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms ...

come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models ...

team skills in a multi-location environment Deep understanding of financial products, their valuations, and associated risks Preferred Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts ...

that strengthen the structuring franchise Job Requirements: Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure 5 years to 15 years of ...

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 ...

evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience ...

sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Experience monitoring, maintaining, enhancing existing 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 ...

closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with MLOps ...

Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward 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 ...

documentation, reproducibility, traceability, and SDLC; ensure compliance with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk ...

grow. Collaborate closely with product, research, and technology stakeholders to ensure models and tools are usable, interpretable, and commercially relevant. Essential Master's or PhD degree in a quantitative discipline (or equivalent professional experience). 5+ years of relevant professional experience in quantitative modelling, software engineering, or applied research. Strong ...

Contribute to the automation ecosystem by delivering end-to-end automation and optimization of trading execution and related workflows. 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 ...

model governance. Excellent communication and stakeholder management skills with the ability to translate data insights into business value. Bonus Points For MSc or PhD in a numerate discipline. Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling ...

silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch ...

maintaining, or launching software products. 3 years of experience with software design and architecture. Experience in Machine Learning. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. ...

practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Qualifications: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Track record: Proven track record of delivering AI solutions from research to production ...

driven decision-making; and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required qualifications MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. Significant proven experience building and deploying AI applications in large scale production environments. Experience managing ...

solve complex analytical equations and analyze market data.* Demonstrated experience utilizing AI technologies to design and build high-performance trading applications.* Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field.* Strong written ...

solve complex analytical equations and analyze market data. Demonstrated experience utilizing AI technologies to design and build high-performance trading applications. Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field. Strong written ...

of the business Required qualifications, capabilities, and skills Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant ...

post-trade analysis and contribute to continuous improvement of the desk's trading strategies. What We're Looking For Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline. Familiarity with European equity index products or similar markets. Strong programming skills ...