101 to 125 of 215 Physics Jobs in London

professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working more »

and road mapping, and provide expert advice to customers when needed Qualifications Bachelor s or Master s degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language 5 years of experience in hardware device architecture, cloud more »

to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative research, within more »

to explore and understand the commercial and economic implications A Plus A PhD or Master's Degree in Environment/Climate, Mathematics, Economics, Engineering, Physics or other Sciences Additional data analysis skills/experience in Excel, SQL, or Python Our Offer Opportunity to work, learn, and make an impact at more »

in Python and C++ Experience working within the Rates product and knowledge/interest around Interest rates is desirable Masters/PhD in Maths, Physics, Engineering or similar degree. Ability to clearly communicate progress and importance of projects to non-technical clients of the library. Ability to focus on major more »

users' issues and enable them to be more creative more easily in Gravity Sketch. Requirements Bachelor s degree in fields related to Computer Science, Physics, Mathematics Extensive knowledge of linear algebra concepts (vector and matrix math, numerical solvers) and 3D computational geometry Strong hands-on experience in writing, testing, and more »

committed to fostering the growth of your teammates by sharing your knowledge and mentoring. While candidates typically hold an advanced University degree in Maths, Physics, Statistics, Computer Science, Engineering, or other quantitative disciplines, we are open to being convinced otherwise. These skills are nice to have, but they are not more »

application environments & OO design, design patterns, unit & integration testing 5+ years of front office finance experience Bachelor's in Computer Science (CIS), Mathematics or Physics from a top-tier university Desirable General market knowledge of equity derivatives Experience developing real-time pricing/risk applications (any asset classes) Benefits & Incentives more »

collaborate closely with engineering teams who support the underlying infrastructure and platforms, Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. At least more »

development experience (Azure or AWS preferred). Experience with continuous integration and deployment approaches and tools. Bachelor or Master degree in Computer Science, Engineering, Physics, Math, or relevant related work experience. Experience with, knowledge of, or strong demonstrated interest in, global financial markets and financial products. Lab49/ION is more »

the financial services industry Professional experience in a trading floor environment is preferable Bachelor s or Masters in applicable field e.g. computer science, mathematics, physics, engineering, computational finance, quantitative finance Strong programming skills in a general purpose language, e.g. python, C++, java, scala. M athematical finance knowledge is preferable Highly more »

by a quantitative developer). Qualifications The requirements are for: Master or Doctorate in Computer Science, Financial Engineering, Financial/Applied/Pure Mathematics, Physics, or a related discipline. Academic skills: probability theory (including stochastic processes) statistics (time series analysis, process estimation) numerical methods (interpolation, integration, regression, root-finding, optimization more »

Make With treatments for hundreds of diseases in our sights, we ve built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the more »

applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code more »

or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow...). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering...). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance more »

Highlights GO Python SQL Data Science Generative AI Fine Tuning UX CICD GitHub Actions Digital Marketing Signal Processing Search Embedded Reliability Research Testing Mathematics Physics Statistics Quantitative Navigation NLP RAG Hosting Tools, Libraries and Frameworks Jupyter Notebook MySQL PostGres RedShift AWS Tensorflow Scikit-learn NoteBooks NumPy Description Trainline uses AI more »

technologies Qualifications: Excellent communication skills and the ability to work well in a team environment Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field Strong programming skills in at least one language such as Python, TypeScript or Java Strong problem-solving more »

publications in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar). Contribution to high-visibility ML codebases. Scientific knowledge of biology, chemistry, or physics along with previous experience working in a scientific environment across disciplines. Valence Labs is committed to creating a diverse and inclusive environment, where understanding and more »

with regulators by providing accurate and timely submissions Qualifications What we re looking for: Masters or Ph.D. degree (or equivalent) in Finance, Economics, Mathematics, Physics, Engineering, or a related quantitative field In-depth knowledge of mathematical finance, derivative pricing, and numerical techniques Understanding how model risk impacts the business, and more »

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control. We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational more »

integrates to their AI/ML powered platform. Python BigQuery Redis TypeScript Node CircleCI Terraform Requirements: Strong engineering background in Computer Science, Mathematics or Physics (or relevant experience) Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools Experience with distributed systems They are doing more »

pipelines. Experience of developing multi-component architectures. Knowledge of distributed computing and serialisation techniques. DESIRABLE REQUIREMENTS Background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not strictly required. Experience of data analysis. Knowledge of the main instruments used in Equities and Equity Derivatives. more »

publications in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar). Contribution to high-visibility ML codebases. Scientific knowledge of biology, chemistry, or physics along with previous experience working in a scientific environment across disciplines. At Valence Labs, we foster an inclusive and diverse work environment. Join our multidisciplinary more »

a volatile environment. Minimum education and experience required: Strong academic record with Bachelor s degree, equivalent or above in a technical discipline (e.g. Maths, Physics, Engineering, Economics or Management) required. 2-3 years prior experience within investment banking/financial services industry required, preferably in an area that involves intensive more »

for senior management and regulator-ready materials Qualifications What we re looking for: #LI-VL1 Masters or Ph.D. degree (or equivalent) in Finance, Mathematics, Physics, or a related quantitative field Understanding how model risks impacts the business, and business changes impact models The ideal candidate has strong experience with counterparty more »