101 to 125 of 737 PhD Jobs in London

Develop and optimise the firms' trading model to identify and create relevant risk factors and construct systematic equity portfolios Quant Analysts Must Ideally Have: PhD Comp Sci, Maths, Stats or Engineering Quant experience of systematic trading (market making/hedging & electronic execution) Extensive experience with market-making algorithms and automated ...

modern techniques, including the use of AI. The recognition, identification, localisation and manipulation of relevant signals are topics of interest. You will have: A PhD, or equivalent commercial experience, in a field making good use of techniques from physics, electronics, statistics, numerical methods or software engineering. British nationality and eligibility ...

sharing, and continuous improvement. Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity. Skills & Experience Master’s or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics, or another quantitative discipline. 5+ years of experience developing systematic, intraday horizon trading strategies, predictive models ...

tackle the world’s greatest challenges in collaboration with large cooperations and start-ups. The Statistics section comprises 34 members of staff, 60 PhD students, and 8 postdoctoral researchers or research fellows, providing a vibrant research environment across all aspects of statistics, especially for young scientists to realize their full ...

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 ...

biomedical research institutions. The successful candidate will contribute to advancing AI applications in healthcare and driving innovation in digital pathology research. Eligibility Criteria PhD in Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Medical Imaging, or a related discipline Extensive postdoctoral research experience relevant to digital pathology, computational imaging ...

work effectively on a cross-functional team. Analytical, problem-solving abilities, organizational skills and attention to detail. Ability to travel as needed. Preferred qualifications PhD in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. Proficient with Git or other version control software. C3 AI provides excellent ...

improvements Strong written and verbal communication skills A naturally curious mindset with a passion for research and experimentation Desirable Skills Master's degree or PhD in a relevant field Machine learning research experience Experience evaluating AI systems or LLM performance Familiarity with cloud environments such as GCP Knowledge of modern ...

tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to youQualifications: PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)Knowledge of AB test design and analysisStrong ...

high level of attention to detail strong sense of ownership proven ability to think outside the box What you’ll bring A MSc or PhD in a STEM discipline Very strong financial mathematical background (e.g. stochastic calculus) 5+ years development experience in both compiled language (C++, C#, Rust...) and Python ...

analyse data for patternsContributing to libraries of analytical computations to support market data analysis and tradingDeveloping, augmenting, and calibrating exchange simulatorsQualificationsA bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degreeExperience in high-frequency trading or quantitative trading is preferred ...

week. Bonus Points Experience with automated valuation models. Background in Proptech, Fintech, insurance, or financial services data ecosystems. Bachelor’s, Master’s or PhD in a quantitative field. For example, Statistics, Computer Science, Data Science, Mathematics, or a related STEM subject degree. What We Offer Competitive compensation package Staff share ...

example with high‐quality engineering practices. You Might Thrive In This Role If You: Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Have experience building GenAI‐focused applications with the latest technologies, including but not limited to Agents ...

applying statistics, mathematics and machine learning to real-world problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). Deep understanding of probability, statistics, uncertainty, linear algebra and calculus. Extensive experience working with large datasets, data preparation and machine learning workflows. Proven ...

mark‐outs. Build reusable training, checkpointing, evaluation, and model‐serving components with ML infrastructure engineers. Required Qualifications, Capabilities, And Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre‐training a large model ...

skills, with the ability to influence at senior level A deep understanding of analytics, data, AI, digital technology and solutions landscape A degree,Mastersor PhD from a leading university in data science, mathematics, operational research, physics, or statistics Desireable Experience in thesoftware orproduct development lifecycle for analytical solutions, e.g. could ...

Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. About DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas ...

Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check ...

compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills ...

/ML techniques Presenting our technology at seminars and conferences Qualifications Degree in engineering, mathematics, physics, or a related science Postgraduate study (MSc/PhD) in fluid mechanics or a related discipline is a strong plus, but not a strict requirement — we value demonstrated CFD problem-solving ability as much ...

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 Accenture Accenture is a leading global professional services company that helps the world’s leading businesses ...

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 ...

applying ML to solve complex problems for large-scale applications Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) Preferred Qualifications PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision ...

domains Attend regular check-ins with the Quant Researcher and Emerging Talent teams Who you are: Key criteria: A Bachelor's, Master's or PhD student in applied mathematics, statistics, engineering or physics Relevant programming experience in at least one language (Python, C++, C#) Proactive interest in improving existing trading ...

tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python ...