1 to 25 of 816 PhD Jobs in London

multidisciplinary teams, gaining a holistic understanding of AI's transformative potential while advancing as a technologist and leader. Your backgroundBachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2+ years of professional experience applying machine learning and data mining techniques ...

current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science ...

velocity, engineering standards, and shared tooling. Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline). Hands-on experience designing, prototyping, productionizing, maintaining ...

collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation. Your backgroundBachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUp to 2 years of professional experience applying machine learning and data ...

detail· Curiosity, resilience and adaptability in fast‐moving environments· Strong commitment to delivering measurable business valueQualificationsRequired Qualifications· Bachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying ...

textual information. QualificationsA 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 everyoneBuro Happold values an individual's flexible approaches to working patterns ...

Stay current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & AttributesMSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline.5+ years' experience applying data science, machine ...

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 ...

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 ...

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 LEADERSHIP Lead the development of next‐generation AI products, demonstrating large‐scale datasets, advanced AI models ...

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 ...

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 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 ...

code, code review, documentation).* Present results to peers and senior management.* Actively contribute to improve developer velocity.* Mentor others.## QualificationsEssential* 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 in complex ...

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 ...

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 ...

Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are SeekingEducation: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional ...

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

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

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 ...

skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master’s or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques ...

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 ...

collaborative and innovative team, you'll make a lasting impact on clients, industries, and the future of technology. Your backgroundBachelors, Master's or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with ...