1 to 25 of 828 PhD Jobs in London

ClearancePreferred qualification - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD- Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3- Experience with software development life cycle (sdlc) and agile/ ...

QUALIFICATIONSBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine learning): SQL and Python ...

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. ...

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 RETURNHIGH-IMPACT AI LEADERSHIPLead the development of next-generation AI products, demonstrating large-scale datasets, advanced AI models, and modern ...

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 ...

QUALIFICATIONSBachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUpto 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/ ...

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 ...

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

written, with the ability to engage partners and stakeholders on complex and technical topics with clarityPreferred qualifications, capabilities, and skills: Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer ScienceMarkets experience and familiarity with general trading concepts and terminologyKnowledge of options pricing theory, trading algorithms or financial regulationsExperience with ...

quantitative discipline such as Mathematics, Statistics, Economics, Econometrics, Operational Research, Physics, Engineering, Data Science or a related field. A postgraduate qualification or PhD would be advantageous (Preferred) WE VALUE YOUR IMPACT At Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel ...

quality or timeline improvements through automation, software engineering, data science or AI in a regulated setting. Education/Certifications (essential): MS/MSc or PhD in statistics, computer science, data science, bioinformatics, mathematics, clinical informatics or another relevant quantitative or technical discipline. Language(s) (essential): Fluent in English, with excellent ...

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 ...

experience with machine learning libraries such as PyTorch, vLLM or similar are a prerequisiteYou will have, or be working towards gaining, a Masters or PhD degree in NLP or a related quantitative subject, such as machine learning, computer science, mathematics, statistics, physics or engineeringPublication at leading NLP conferences such ...

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 ...

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 ...

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 ...

members and the broader Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively. Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning ...

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 ...

collaborative team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine ...

competitive landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross-functional partners. Basic QualificationsAdvanced 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/ ...

ability to work independently or in small teamsAbility to communicate technical concepts clearly to business stakeholders and non-technical audiencesPreferred Qualifications, Capabilities, and Skills:PhD in Data Science, Computer Science, Artificial Intelligence, or a related fieldExperience in financial services, banking, or Markets Operations environmentsJ.P. Morgan is a global leader ...

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 ...