1 to 25 of 388 PhD Jobs in London

provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields 2+ years of professional experience applying machine learning and data mining ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/ ...

managers and research teams to understand investment processes and translate them into practical solutionsRequired Qualifications, Capabilities, and Skills: Hold a Master's degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative fieldDemonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment ...

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 ...

scientific customers to shape ML strategy and identify high-value opportunities. Present technical strategies, architectural decisions, and outcomes to senior leadership. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area). Hands-on experience designing, prototyping, productionizing ...

free to still apply as we are often hiring for similar roles which your background might be better suited to. A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statisticsExperience of conducting analysis for evidence-based decision making, designing and developing 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 ...

infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation. Desirable experienceAdvanced Education: A Master's degree or PhD in a relevant field is a strong plus. Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray. Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g. ...

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 ...

equity program. The candidate Minimum qualifications 8+ years of experience in data science, applied statistics, or a related field, with demonstrated impact at scale. PhD in Mathematics/Statistics, Computer Science, Economics, or other quantitative disciplines (or MS with equivalent experience). Proven track record of independently leading applied research ...

stakeholders Stay current with industry trends in AI, machine learning, and analytics methodologies, identifying opportunities to apply innovations within our domain Experience and Qualifications PhD, Master's, or bachelor’s degree in mathematics, Statistics, Computer Science, or related technical field; or equivalent related professional experience 12+ years of experience ...

stakeholders Stay current with industry trends in AI, machine learning, and analytics methodologies, identifying opportunities to apply innovations within our domain Experience and Qualifications PhD, Master's, or bachelor’s degree in mathematics, Statistics, Computer Science, or related technical field; orequivalent related professional experience 12+ years of experience in data ...

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 ...

alerting, checking in code, code review, documentation).Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. QualificationsEssentialMSc 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 ...