76 to 100 of 737 PhD Jobs in London

generate actionable insights. Strong communication skills, with the ability to explain quantitative topics clearly to trading and technology stakeholders. Advanced degree(Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or similar). Preferred qualifications, capabilities and skills Prior experiencein a front-office ...

objectives for student attendance, continuation, completion, satisfaction and student progression About you: You will hold a Master's degree in a relevant subject area (PhD desirable) You will have previous UK HE lecturing experience in the wider subject area You will be able to demonstrate extensive knowledge of ...

objectives for student attendance, continuation, completion, satisfaction and student progression About you: You will hold a Master's degree in a relevant subject area (PhD desirable) You will have previous UK HE lecturing experience in the wider subject area You will be able to demonstrate extensive knowledge of ...

Investments and Quantitative Methods Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor's/University degree, Master's degree or doctorate preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

product knowledge, Investments and Quantitative MethodsConsistently demonstrates clear and concise written and verbal communication skillsEducation: Bachelor's/University degree, Master's degree or doctorate preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.------------------------------------------------------Job Family ...

drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline MSc candidates with relevant industry experience may be considered Responsibilities Develops statistical ...

with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.) #J-18808-Ljbffr ...

trends such as agentic workflows and data mesh, introducing new methodologies and representing EPAM at key industry events Requirements Bachelor’s, Master’s or PhD in Computer Science, Data Science, Mathematics, Economics or a related field or relevant work experience Proven track record in a Director, Principal or equivalent leadership ...

design and delivery of the production architectures for our solutionsRequired qualifications, capabilities, and skillsHands on experience in an ML engineering roleMasters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility ...

comfortable working on ambiguous problems and suggesting solutions rather than waiting to be told exactly what to do. Nice to have An MSc or PhD in Computer Science, Maths, Statistics, Economics, Psychology, ML, or a related field—or equivalent knowledge gained another way. Experience working alongside product and engineering teams. ...

PyTorch Familiarity with AWS, Azure or GCP, and any relevant cloud certifications Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary ...

innovative, production-ready solutions. Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment. Required Qualifications, Capabilities, and Skills: Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands-on experience in ML engineering, with a proven ...

with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.)About AccentureAccenture is a leading global professional services company that helps the world's leading businesses, governments ...

3+ years of work experience in a relevant role (e.g. sports quantitative analyst for a betting syndicate, a bookmaker or betting exchange); or a PhD or equivalent in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some ...

/CD. Experience working in remote, cloud-based environments, e.g. AWS. Prior experience working in a team, ideally in an industry setting. A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields. Your Package We are committed to providing ...

communication skills, with the ability to explain complex modelling concepts clearly to both technical and non-technical stakeholders Desired experience and skills are: A PhD in Mathematics, Physics, Engineering, Computer Science, Quantitative Finance or another relevant quantitative discipline Hands‐on experience with products such as YoY options, LPI swaps, inflation ...

stakeholders and users A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: PhD in machine learning, or a related field Authored publications in top‐tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP) Experience working with MLOps infrastructure ...

pricing strategies, or related marketplace dynamics Knowledge of digital advertising ecosystems, including programmatic advertising and sponsored search Preferred Qualifications Advanced degree (MBA, MS, or PhD) in a quantitative or technical field Familiarity with AI tools, LLMs, or agent-based systems, including practical experience applying these technologies to product development Previous ...

powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. 3–5 years of industry experience (post‐PhD), ideally within or directly supporting the semiconductor manufacturing industry. Proficiency in Python (or similar) for workflow automation, data handling, and integration with simulation tools. Combining ...

knowledge-based systems. Experience operating within regulated or risk-controlled environments. Exposure to data engineering and modern data platforms. Relevant postgraduate qualification (MSc, PhD) or equivalent in Data Science, AI or related discipline. Connect to your business – Tax Innovation and tax consultancy may not seem to go together, but that ...

Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures. What excites us You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience. You have hands‐on experience with modelling approaches such as deep learning, graph-based ...

such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver measurable machine learning outcomes. Preferred qualifications Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products ...

such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver measurable machine learning outcomes. Preferred qualifications Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products ...

positive attitude to your work, have the curiosity to explore new ideas, and respond well to feedback. Skills required Master's degree or PhD, or relevant experience in a field emphasizing quantitative disciplines, with coursework in machine learning (or alternatively, a quantitative advanced degree complemented by extensive training in data ...

technical audiences, build trust through delivery, and make complex ideas land clearly at every level of the organization Education: Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Machine Learning, or a related technical field - or equivalent expertise demonstrated through impact What Would Make You Stand ...