12 of 12 Permanent Linear Algebra Jobs in London

equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine ...

technical field.A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion ...

including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior.A sound grounding in machine learning, including model validation ...

post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.Depending on your ...

with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation.A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment.Good communication skills ...

Science, Electrical Engineering, Statistics, or equivalent fields.Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics).Experience with scalable ML (MapReduce, streaming).Ability to drive a project and work both independently ...

Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, PandasStrong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniquesCollaborative mindset with strong independent research abilitiesCommitment to the highest ethical standards ...

years of experience in a systematic trading or quantitative development environment.• A degree in a STEM discipline.• A strong quantitative foundation, including comfort with linear algebra and practical experience in statistics, machine learning, or signal processing.• Proficiency in Python, including common data analysis libraries such as Pandas ...

Statistics, Operations Research, or a related field.Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics).Experience with scalable ML (MapReduce, streaming).Ability to drive a project and work both independently ...

with C++, Java, or other high-performance languages is a plus.Knowledge of derivatives, options pricing, volatility modeling, or quantitative finance.Solid understanding of probability, statistics, linear algebra, and optimization.Experience working with large datasets and writing efficient data analysis code.Strong problem-solving skills with exceptional attention to detail.Excellent communication skills ...

level of trust in the analysis they produce based on the data our product line emits.Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithmsDelivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayImplements database back ...

math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Knowledge of financial markets Highly ...